03862nam 22006735 450 991100687690332120190708092533.0978168015928816801592839781400880041140088004110.1515/9781400880041(CKB)3710000000485572(EBL)4001752(SSID)ssj0001634602(PQKBManifestationID)16386522(PQKBTitleCode)TC0001634602(PQKBWorkID)14950396(PQKB)10442491(MiAaPQ)EBC4001752(DE-B1597)474323(OCoLC)1002061163(OCoLC)979630949(DE-B1597)9781400880041(Perlego)738868(EXLCZ)99371000000048557220190708d2015 fg engur|n|---|||||txtccrAuxiliary Signal Design for Failure Detection /Stephen L. Campbell, Ramine NikoukhahPrinceton, NJ : Princeton University Press, [2015]©20041 online resource (211 p.)Princeton Series in Applied Mathematics ;54Description based upon print version of record.9780691099873 0691099871 Includes bibliographical references and index.Frontmatter -- Contents -- Preface -- Chapter 1. Introduction -- Chapter 2. Failure Detection -- Chapter 3. Multimodel Formulation -- Chapter 4. Direct Optimization Formulations -- Chapter 5. Remaining Problems and Extensions -- Chapter 6. Scilab Programs -- Appendix A. List of Symbols -- Bibliography -- IndexMany industries, such as transportation and manufacturing, use control systems to insure that parameters such as temperature or altitude behave in a desirable way over time. For example, pilots need assurance that the plane they are flying will maintain a particular heading. An integral part of control systems is a mechanism for failure detection to insure safety and reliability. This book offers an alternative failure detection approach that addresses two of the fundamental problems in the safe and efficient operation of modern control systems: failure detection--deciding when a failure has occurred--and model identification--deciding which kind of failure has occurred. Much of the work in both categories has been based on statistical methods and under the assumption that a given system was monitored passively. Campbell and Nikoukhah's book proposes an "active" multimodel approach. It calls for applying an auxiliary signal that will affect the output so that it can be used to easily determine if there has been a failure and what type of failure it is. This auxiliary signal must be kept small, and often brief in duration, in order not to interfere with system performance and to ensure timely detection of the failure. The approach is robust and uses tools from robust control theory. Unlike some approaches, it is applicable to complex systems. The authors present the theory in a rigorous and intuitive manner and provide practical algorithms for implementation of the procedures.Princeton series in applied mathematics.System failures (Engineering)Fault location (Engineering)Signal processingSystem failures (Engineering)Fault location (Engineering)Signal processing.620.0044Campbell Stephen L., 471255Nikoukhah Ramine, DE-B1597DE-B1597BOOK9911006876903321Auxiliary Signal Design for Failure Detection4392284UNINA