Fault Diagnosis of Hybrid Dynamic and Complex Systems

Fault Diagnosis of Hybrid Dynamic and Complex Systems
Author :
Publisher : Springer
Total Pages : 286
Release :
ISBN-10 : 9783319740140
ISBN-13 : 3319740148
Rating : 4/5 (148 Downloads)

Book Synopsis Fault Diagnosis of Hybrid Dynamic and Complex Systems by : Moamar Sayed-Mouchaweh

Download or read book Fault Diagnosis of Hybrid Dynamic and Complex Systems written by Moamar Sayed-Mouchaweh and published by Springer. This book was released on 2018-03-27 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online fault diagnosis is crucial to ensure safe operation of complex dynamic systems in spite of faults affecting the system behaviors. Consequences of the occurrence of faults can be severe and result in human casualties, environmentally harmful emissions, high repair costs, and economical losses caused by unexpected stops in production lines. The majority of real systems are hybrid dynamic systems (HDS). In HDS, the dynamical behaviors evolve continuously with time according to the discrete mode (configuration) in which the system is. Consequently, fault diagnosis approaches must take into account both discrete and continuous dynamics as well as the interactions between them in order to perform correct fault diagnosis. This book presents recent and advanced approaches and techniques that address the complex problem of fault diagnosis of hybrid dynamic and complex systems using different model-based and data-driven approaches in different application domains (inductor motors, chemical process formed by tanks, reactors and valves, ignition engine, sewer networks, mobile robots, planetary rover prototype etc.). These approaches cover the different aspects of performing single/multiple online/offline parametric/discrete abrupt/tear and wear fault diagnosis in incremental/non-incremental manner, using different modeling tools (hybrid automata, hybrid Petri nets, hybrid bond graphs, extended Kalman filter etc.) for different classes of hybrid dynamic and complex systems.


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