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E-raamat: Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic: TEPEN2024-IWFDP - Volume 2

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  • Formaat: EPUB+DRM
  • Sari: Mechanisms and Machine Science 141
  • Ilmumisaeg: 19-Oct-2024
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783031734076
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  • Formaat: EPUB+DRM
  • Sari: Mechanisms and Machine Science 141
  • Ilmumisaeg: 19-Oct-2024
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783031734076

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This book gathers the latest advances, innovations, and applications in the field of efficiency and performance engineering, as presented by leading international researchers and engineers at the TEPEN International Workshop on Fault Diagnostics and Prognostics (TEPEN-IWFDP), held in Qingdao, China, on May 8–11, 2024. Topics include machine and structural health monitoring, non-destructive testing and fault detection, diagnostic and prognostic for both operational and manufacturing processes, maintenance optimization and asset management, smart metamaterials and metastructures, artificial intelligent, and machine learning. The contributions, which are selected through a rigorous international peer-review process, share exciting ideas that spur novel research directions and foster new multidisciplinary collaborations.

Analysis of Factors Influencing the Bottom Impact Safety Performance of
Power Battery Systems.- Industrial Gearbox Fault Diagnosis Based on Vision
Transformer and Infrared Thermal Imaging.- Optimized Fault Diagnosis Method
for Wind Turbine Gearbox Using PSO based Neutrosophic K Nearest Neighbor
Algorithm.- Short term Charging Load Prediction of Electric Vehicles based on
K means Clustering WOA BP.- A Sparse Non stationary Time Series Model with
Ensemble Basis for Gearbox Fault Detection under Variable Speed Conditions.-
Fault diagnosis method of planetary gearbox based on digital twin of virtual
and real data consistency.- Research on the Effect of Aero engine Connection
Interface on Acoustic Emission Signals.- Digital Twin based Simulation and
Virtual Real Mapping of Inspection Cell Robots.- A Review of Deep Learning
Based Target Detection Algorithms.- A Review of Machine Learning Based Icing
Prediction Methods for Wind Turbine Blades.- Acoustic Fault Identification in
Maritime Vessels with limited Data using WGAN based Approach.- Dual channel
sensor fault detection and isolation based on nonlinear Kalman filter.-
Long-term load forecasting based on improved SABO optimization ELM.- Fault
diagnosis method for rolling bearings based on CVAE GAN under limited data.-
A Novel Time varying Structural Element for Morphological Filtering based
Bearing Fault Diagnosis.- DTST MFN Enhancing Anomalous Sound Detection with
Deep Temporal Features and Efficient Attention.- Speech Enhancement Method
Based on Fusion Attention with Local Recurrence.- Fluid solid coupling
vibration analysis of the wing of an underwater vehicle.- Optimal dispatch of
microgrid based on demand side response.- Blind Source Separation Based on
Neurally plausible alternating Optimization based Online Dictionary Learning
(NOODL).- Research on Time Difference of Arrival TDOA Gas Leakage Source
Localization Method Based on Improved Sparrow Algorithm.- Bearing fault
diagnosis based on an improved morphological filter.- Fault Diagnosis of
Rolling Bearing in Broad Learning System Based on Multi Domain Feature
Selection.- A Fault Early Warning Method for Centrifugal Compressors Based on
Multi Task Gaussian Processes.- Research on Fault Diagnosis Method for
Rolling Bearings Based on Improved ConvNext V2.- Domain adaptive coding
transfer diagnosis method and its application in fault diagnosis.- A weighted
Short time Fourier Transform Acoustic Signals for Rotating Machinery Faults.-
Enhancing Muscle Signal Analysis Insights from High Order Synchrosqueezing
Wavelet Transform on Electromyography Signals.- A bearing fault diagnosis
technique based on an optimized MCKD and Multi scale DSCN network.-
Structural Damage Detection of Cracked Beams Based on Nonlinear Output
Frequency Response Functions and Support Vector Machine.- Bearing Fault
Detection Based on Parameters Optimized Stochastic Resonance.- The slippage
model of outer ring faults in deep groove ball bearings induced by impact
forces under load.- A long-term prediction method of gas concentration signal
with noise in fully mechanized coal mining face using CEEMDAN combined with
GRU.- Multi stage damage identification of elastically restrained plates
based on singular value decomposition and Faster RCNN.- Few Shot Graph Neural
Networks Framework incorporating DGAT for Planetary Gearbox Diagnosis.-
Research on power control outer loop based on phase locking in grid-connected
inverter.- Fault diagnosis of mechanical equipment using a distribution
guided adversarial transfer network.- A Microscopic Damage Analysis Model
 for the Matrix of 8Cr4Mo4V Alloy.- Compound Faults Weak Feature Extraction
of Rolling Bearing Based on Parameters Optimized CYCBD.- A fuzzy variable
weight hierarchical condition assessment method for marine gas turbine.-
Research on the Modeling Method and Parameter Identification of Bolted
Cylindrical Shell Structure Based on Thin layer Element Method.-
Identification of Fatigue Cracks in a Stiffness Mistuned Blisk Based on
Nonlinear Vibration Features.- A local synchrosqueezing based TFA post
processing tool and application to bearing fault diagnosis.- A Real time
Reduced Order Modeling Technique for Mistuned Bladed Disks at Variable
Speeds.- Transfer fault diagnostics of planetary gearbox from steady to
variable operating conditions.- SRP sound source localization algorithm based
on BSO and joint weighting.- Experimental Study on Structural Damage
Detection of Cracked Beams Based on Nonlinear Output Frequency Response
Functions.- Effect of Double Cracks in Thin Plates on the Second Harmonic of
Nonlinear Lamb Waves.- A Review of Application of Spiking neural networks in
equipment fault diagnosis.- Semi-supervised proxy contrastive generalization
network for bearing fault diagnosis.- Differentiating Sun Gear Fault
Locations by integrating On Rotor Sensing with Tidal Cycle.- Analysis of
contact and vibration characteristics of the planetary cylindrical roller
bearing.- Research on Defect Measurement Method for Nuclear Components Based
on Smooth Optimization Algorithm.- Power loss analysis of axle box bearing of
High Speed Train excited by track irregularity and wheel flat.- Graded
Metamaterial Beam for Flexural Wave Rainbowing Trapping and Multiband Energy
Harvesting.