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Automatic Monitoring, Fault Diagnostics, and Maintenance: Using Meta-Heuristic Optimization [Kõva köide]

5.00/5 (2 hinnangut Goodreads-ist)
(University College Cork, Ireland), (Universita degli Studi di Napoli Federico II),
  • Formaat: Hardback, 272 pages, kõrgus x laius: 234x156 mm, 34 Illustrations, black and white
  • Ilmumisaeg: 05-Jan-2026
  • Kirjastus: CRC Press Inc
  • ISBN-10: 1466555319
  • ISBN-13: 9781466555310
Teised raamatud teemal:
Automatic Monitoring, Fault Diagnostics, and Maintenance: Using Meta-Heuristic Optimization
  • Formaat: Hardback, 272 pages, kõrgus x laius: 234x156 mm, 34 Illustrations, black and white
  • Ilmumisaeg: 05-Jan-2026
  • Kirjastus: CRC Press Inc
  • ISBN-10: 1466555319
  • ISBN-13: 9781466555310
Teised raamatud teemal:
Raamatu kodulehekülg: http://www.crcpress.com
Püsilink: https://www.kriso.ee/db/9781466555310.html
Märksõnad:

Based on practical field experience and several case studies, this book presents state-of-the-art artificial intelligence techniques, validating their efficiency and accuracy in real-world industrial applications. The authors show how a meta-heuristic approach can enhance automatic fault monitoring in man-made systems. For each phase of fault monitoring, they propose a meta-heuristic approach that is tested experimentally in an actual industrial environment. While the proposed methods are validated on specific industrial problems, their applicability is wide and general.

Fault Detection in Absence of Process Model. Fault Diagnosis in Expert Systems. In-Time Prognosis in Expert Systems for Health Monitoring. Predictive Maintenance in Industrial Systems. Meta-Heuristic Approaches in Industrial Processes. Fault Detection Based on Wavelet Signal Analysis by Means of Cultural Algorithms. Fault Diagnosis Based on Meta-Heuristic Strategies Applied to Deep Knowledge Approach. In-Time Prognosis Based on Particle Swarm Optimization. Predictive Maintenance Based on Extremal Optimization. Fault Detection on Elevator Systems. Fault Diagnosis in Industrial Systems. In-Time Prognosis in Home Healthcare Systems. Remote Building Maintenance.