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000838868 019__ $$a1030303205$$a1030491516$$a1030602881$$a1034541510$$a1037701682$$a1040618537$$a1041670297
000838868 020__ $$a9783319740140
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000838868 020__ $$z9783319740133
000838868 0247_ $$a10.1007/978-3-319-74014-0$$2doi
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000838868 049__ $$aISEA
000838868 050_4 $$aTK1-9971
000838868 08204 $$a621.382$$223
000838868 24500 $$aFault Diagnosis of Hybrid Dynamic and Complex Systems /$$cedited by Moamar Sayed-Mouchaweh.
000838868 264_1 $$aCham :$$bSpringer International Publishing :$$bImprint :$$bSpringer,$$c2018
000838868 300__ $$a1 online resource :$$billustrations
000838868 336__ $$atext$$btxt$$2rdacontent
000838868 337__ $$acomputer$$bc$$2rdamedia
000838868 338__ $$aonline resource$$bcr$$2rdacarrier
000838868 347__ $$atext file$$bPDF$$2rda
000838868 504__ $$aIncludes bibliographical references and index.
000838868 506__ $$aAccess limited to authorized users.
000838868 520__ $$aOnline fault diagnosis is crucial to ensure safe operation of complex dynamic systems in spite of faults affecting the system behaviors. Consequences of the occurrence of faults can be severe and result in human casualties, environmentally harmful emissions, high repair costs, and economical losses caused by unexpected stops in production lines. The majority of real systems are hybrid dynamic systems (HDS). In HDS, the dynamical behaviors evolve continuously with time according to the discrete mode (configuration) in which the system is. Consequently, fault diagnosis approaches must take into account both discrete and continuous dynamics as well as the interactions between them in order to perform correct fault diagnosis. This book presents recent and advanced approaches and techniques that address the complex problem of fault diagnosis of hybrid dynamic and complex systems using different model-based and data-driven approaches in different application domains (inductor motors, chemical process formed by tanks, reactors and valves, ignition engine, sewer networks, mobile robots, planetary rover prototype etc.). These approaches cover the different aspects of performing single/multiple online/offline parametric/discrete abrupt/tear and wear fault diagnosis in incremental/non-incremental manner, using different modeling tools (hybrid automata, hybrid Petri nets, hybrid bond graphs, extended Kalman filter etc.) for different classes of hybrid dynamic and complex systems. Synthesizes the state of the art in the domain of fault diagnosis of hybrid dynamic systems; Studies the complementarities and the links between the different methods and techniques of fault diagnosis of hybrid dynamic systems; Includes the required notions, definitions and background to understand the problem of fault diagnosis of hybrid dynamic systems and how to solve it; Uses multiple examples in order to facilitate the understanding of the presented methods.
000838868 650_0 $$aEngineering.
000838868 650_0 $$aComputers.
000838868 650_0 $$aComputational intelligence.
000838868 650_0 $$aAutomatic control.
000838868 650_0 $$aQuality control.
000838868 650_0 $$aReliability.
000838868 650_0 $$aIndustrial safety.
000838868 650_0 $$aElectrical engineering.
000838868 7001_ $$aSayed-Mouchaweh, Moamar,$$eeditor.
000838868 77608 $$iPrint version: $$z9783319740133
000838868 852__ $$bebk
000838868 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-74014-0$$zOnline Access$$91397441.1
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000838868 980__ $$aEBOOK
000838868 980__ $$aBIB
000838868 982__ $$aEbook
000838868 983__ $$aOnline
000838868 994__ $$a92$$bISE