Notation |
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xix | |
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Part I Introduction, basic concepts and preliminaries |
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3 | (10) |
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Basic concepts of fault diagnosis technique |
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4 | (4) |
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Historical development and some relevant issues |
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8 | (3) |
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11 | (2) |
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Basic ideas, major issues and tools in the observer-based FDI framework |
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13 | (8) |
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On the observer-based residual generator framework |
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13 | (1) |
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Unknown input decoupling and fault isolation issues |
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14 | (1) |
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Robustness issues in the observer-based FDI framework |
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15 | (2) |
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On the parity space FDI framework |
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17 | (1) |
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Residual evaluation and threshold computation |
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17 | (1) |
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FDI system synthesis and design |
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18 | (1) |
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18 | (3) |
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Modelling of technical systems |
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21 | (30) |
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Description of nominal system behavior |
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22 | (1) |
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Coprime factorization technique |
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23 | (2) |
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Representations of disturbed systems |
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25 | (1) |
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Representations of system models with model uncertainties |
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25 | (2) |
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27 | (3) |
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Modelling of faults in closed loop feedback control systems |
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30 | (1) |
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31 | (18) |
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Speed control of a DC motor |
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31 | (3) |
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Inverted pendulum control system |
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34 | (4) |
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38 | (4) |
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Vehicle lateral dynamic system |
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42 | (4) |
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Electrohydraulic Servo-actuator |
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46 | (3) |
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49 | (2) |
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Structural fault detectability, isolability and identifiability |
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51 | (20) |
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Structural fault detectability |
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51 | (5) |
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Excitations and sufficiently excited systems |
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56 | (1) |
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Structural fault isolability |
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57 | (8) |
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Concept of structural fault isolability |
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57 | (1) |
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Fault isolability conditions |
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58 | (7) |
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Structural fault identifiability |
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65 | (2) |
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67 | (4) |
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Part II Residual generation |
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Basic residual generation methods |
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71 | (44) |
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72 | (3) |
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Residuals and parameterization of residual generators |
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75 | (3) |
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Problems related to residual generator design and implementation |
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78 | (2) |
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80 | (1) |
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Diagnostic observer scheme |
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81 | (16) |
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Construction of diagnostic observer-based residual generators |
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81 | (2) |
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Characterization of solutions |
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83 | (8) |
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91 | (4) |
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95 | (2) |
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97 | (6) |
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Construction of parity relation based residual generators |
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98 | (2) |
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Characterization of parity space |
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100 | (2) |
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102 | (1) |
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Interconnections, comparison and some remarks |
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103 | (11) |
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Parity space approach and diagnostic observer |
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103 | (4) |
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Diagnostic observer and residual generator of general form |
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107 | (3) |
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Applications of the interconnections and some remarks |
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110 | (2) |
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112 | (2) |
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114 | (1) |
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Perfect unknown input decoupling |
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115 | (46) |
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115 | (2) |
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Existence conditions of PUIDP |
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117 | (8) |
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A general existence condition |
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117 | (1) |
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A check condition via Rosenbrock system matrix |
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118 | (2) |
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Algebraic check conditions |
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120 | (5) |
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A frequency domain approach |
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125 | (3) |
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128 | (11) |
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The eigenstructure assignment approach |
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128 | (4) |
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132 | (7) |
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139 | (14) |
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140 | (2) |
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Unknown input observer approach |
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142 | (5) |
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A matrix pencil approach to the UIDO design |
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147 | (3) |
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A numerical approach to the UIDO design |
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150 | (3) |
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Unknown input parity space approach |
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153 | (1) |
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An alternative scheme - null matrix approach |
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153 | (1) |
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Minimum order residual generator |
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154 | (5) |
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Minimum order residual generator design by geometric approach |
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154 | (2) |
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156 | (3) |
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159 | (2) |
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Residual generation with enhanced robustness against unknown inputs |
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161 | (86) |
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Mathematical and control theoretical preliminaries |
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162 | (12) |
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163 | (2) |
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165 | (3) |
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Computation of H2 and H∞ norms |
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168 | (1) |
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Singular value decomposition |
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169 | (1) |
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Co-inner-outer factorization |
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170 | (3) |
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173 | (1) |
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Essentials of the LMI technique |
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173 | (1) |
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Kalman filter based residual generation |
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174 | (4) |
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Approximation of UI-distribution matrix |
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178 | (6) |
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Approximation of matrices Ed, Fd |
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178 | (2) |
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Approximation of matrices Hd,s |
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180 | (2) |
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182 | (2) |
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Robustness, fault sensitivity and performance indices |
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184 | (3) |
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Robustness and sensitivity |
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184 | (1) |
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Performance indices: robustness vs. sensitivity |
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185 | (1) |
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Relations between the performance indices |
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186 | (1) |
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Optimal selection of parity matrices and vectors |
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187 | (14) |
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Sf,+/Rd as performance index |
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188 | (3) |
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Sf,-/Rd as performance index |
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191 | (2) |
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JS-R as performance index |
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193 | (2) |
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Optimization performance and system order |
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195 | (2) |
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197 | (4) |
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H∞ optimal fault identification scheme |
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201 | (1) |
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H2/H2 design of residual generators |
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202 | (4) |
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Relationship between H2/H2 design and optimal selection of parity vectors |
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206 | (5) |
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211 | (21) |
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H2 to H2 trade-off design of FDF |
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213 | (5) |
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218 | (7) |
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H2 to H- trade-off design of FDF |
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225 | (2) |
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H∞ to H- trade-off design of FDF |
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227 | (2) |
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An alternative H∞ to H-- trade-off design of FDF |
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229 | (3) |
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A brief summary and discussion |
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232 | (1) |
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232 | (6) |
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Hi/H∞ index and problem formulation |
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233 | (1) |
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Hi/H∞ optimal design of FDF: the standard form |
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234 | (3) |
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Discrete time version of the unified solution |
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237 | (1) |
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The general form of the unified solution |
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238 | (6) |
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238 | (2) |
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Generalization of the unified solution |
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240 | (4) |
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244 | (3) |
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Residual generation with enhanced robustness against model uncertainties |
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247 | (34) |
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248 | (2) |
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LMI aided computation for system bounds |
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248 | (1) |
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Stability of stochastically uncertain systems |
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249 | (1) |
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Transforming model uncertainties into unknown inputs |
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250 | (2) |
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Reference model strategies |
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252 | (7) |
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252 | (1) |
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A reference model based solution for systems with norm bounded uncertainties |
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252 | (7) |
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Residual generation for systems with polytopic uncertainties |
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259 | (6) |
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The reference model scheme based scheme |
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259 | (4) |
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H_ to H∞ design formulation |
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263 | (2) |
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Residual generation for stochastically uncertain systems |
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265 | (11) |
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System dynamics and statistical properties |
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266 | (1) |
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Basic idea and problem formulation |
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266 | (1) |
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267 | (7) |
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274 | (2) |
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276 | (5) |
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Part III Residual evaluation and threshold computation |
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Norm based residual evaluation and threshold computation |
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281 | (30) |
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282 | (2) |
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284 | (1) |
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Some standard evaluation functions |
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285 | (2) |
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Basic ideas of threshold setting and problem formulation |
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287 | (4) |
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Dynamics of the residual generator |
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288 | (1) |
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Definitions of thresholds and problem formulation |
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289 | (2) |
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Computation of Jth, RMS, 2 |
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291 | (6) |
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Computation of Jth, RMS, 2 for the systems with the norm bounded uncertainty |
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292 | (3) |
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Computation of Jth, RMS, 2 for the systems with the polytopic uncertainty |
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295 | (2) |
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Computation of Jth, peak, peak |
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297 | (5) |
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Computation of Jth, peak, peak for the systems with the norm bounded uncertainty |
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297 | (4) |
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Computation of Jth, peak, peak for the systems with the polytopic uncertainty |
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301 | (1) |
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Computation of Jth, peak, 2 |
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302 | (5) |
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Computation of Jth, peak, 2 for the systems with the norm bounded uncertainty |
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302 | (3) |
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Computation of Jth, peak, 2 for the systems with the polytopic uncertainty |
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305 | (2) |
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307 | (3) |
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310 | (1) |
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Statistical methods based residual evaluation and threshold setting |
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311 | (24) |
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311 | (1) |
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Elementary statistical methods |
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312 | (8) |
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312 | (2) |
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Likelihood ratio and generalized likelihood ratio |
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314 | (2) |
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316 | (1) |
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Detection of change in variance |
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317 | (1) |
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Aspects of on-line realization |
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318 | (2) |
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Criteria for threshold computation |
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320 | (4) |
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The Neyman-Pearson criterion |
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320 | (1) |
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Maximum a posteriori probability (MAP) criterion |
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321 | (1) |
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322 | (1) |
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323 | (1) |
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Application of GLR testing methods |
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324 | (9) |
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Kalman filter based fault detection |
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324 | (6) |
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Parity space based fault detection |
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330 | (3) |
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333 | (2) |
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Integration of norm based and statistical methods |
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335 | (34) |
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Residual evaluation in stochastic systems with deterministic disturbances |
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335 | (8) |
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336 | (1) |
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337 | (1) |
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338 | (3) |
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341 | (2) |
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Residual evaluation scheme for stochastically uncertain systems |
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343 | (13) |
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343 | (2) |
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Solution and design algorithms |
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345 | (11) |
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Probabilistic robustness technique aided threshold computation |
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356 | (8) |
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356 | (2) |
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Outline of the basic idea |
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358 | (1) |
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LMIs needed for the solutions |
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359 | (1) |
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Problem solutions in the probabilistic framework |
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360 | (2) |
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362 | (2) |
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364 | (1) |
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364 | (5) |
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Part IV Fault detection, isolation and identification schemes |
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Integrated design of fault detection systems |
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369 | (34) |
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370 | (3) |
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Maximization of fault detectability by a given FAR |
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373 | (13) |
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374 | (1) |
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Essential form of the solution |
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374 | (2) |
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376 | (2) |
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Interconnections and comparison |
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378 | (4) |
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382 | (4) |
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Minimizing false alarm number by a given FDR |
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386 | (12) |
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387 | (1) |
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Essential form of the solution |
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388 | (2) |
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390 | (1) |
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391 | (2) |
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Interpretation of the solutions and discussion |
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393 | (3) |
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396 | (2) |
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On the application to stochastic systems |
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398 | (1) |
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Application to maximizing FDR by a given FAR |
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398 | (1) |
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Application to minimizing FAR by a given FDR |
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399 | (1) |
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399 | (4) |
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403 | (38) |
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404 | (6) |
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Existence conditions for a perfect fault isolation |
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404 | (2) |
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PFIs and unknown input decoupling |
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406 | (3) |
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PFIs with unknown input decoupling (PFIUID) |
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409 | (1) |
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A frequency domain approach |
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410 | (2) |
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Fault isolation filter design |
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412 | (14) |
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A design approach based on the duality to decoupling control |
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412 | (3) |
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415 | (2) |
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A generalized design approach |
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417 | (9) |
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An algebraic approach to fault isolation |
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426 | (5) |
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Fault isolation using a bank of residual generators |
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431 | (7) |
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The dedicated observer scheme (DOS) |
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432 | (3) |
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The generalized observer scheme (GOS) |
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435 | (3) |
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438 | (3) |
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441 | (22) |
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Fault identification filter and perfect fault identification |
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442 | (3) |
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FIF design with additional information |
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445 | (3) |
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On the optimal fault identification problem |
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448 | (2) |
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Study on the role of the weighting matrix |
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450 | (6) |
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Approaches to the design of FIF |
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456 | (4) |
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A general fault identification scheme |
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456 | (1) |
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An alternative fault detection scheme |
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457 | (1) |
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Identification of the size of a fault |
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458 | (2) |
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460 | (3) |
References |
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463 | (8) |
Index |
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471 | |