LEADER 03862nam 22006735 450 001 9911006876903321 005 20190708092533.0 010 $a9781680159288 010 $a1680159283 010 $a9781400880041 010 $a1400880041 024 7 $a10.1515/9781400880041 035 $a(CKB)3710000000485572 035 $a(EBL)4001752 035 $a(SSID)ssj0001634602 035 $a(PQKBManifestationID)16386522 035 $a(PQKBTitleCode)TC0001634602 035 $a(PQKBWorkID)14950396 035 $a(PQKB)10442491 035 $a(MiAaPQ)EBC4001752 035 $a(DE-B1597)474323 035 $a(OCoLC)1002061163 035 $a(OCoLC)979630949 035 $a(DE-B1597)9781400880041 035 $a(Perlego)738868 035 $a(EXLCZ)993710000000485572 100 $a20190708d2015 fg 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAuxiliary Signal Design for Failure Detection /$fStephen L. Campbell, Ramine Nikoukhah 210 1$aPrinceton, NJ : $cPrinceton University Press, $d[2015] 210 4$dİ2004 215 $a1 online resource (211 p.) 225 0 $aPrinceton Series in Applied Mathematics ;$v54 300 $aDescription based upon print version of record. 311 08$a9780691099873 311 08$a0691099871 320 $aIncludes bibliographical references and index. 327 $tFrontmatter -- $tContents -- $tPreface -- $tChapter 1. Introduction -- $tChapter 2. Failure Detection -- $tChapter 3. Multimodel Formulation -- $tChapter 4. Direct Optimization Formulations -- $tChapter 5. Remaining Problems and Extensions -- $tChapter 6. Scilab Programs -- $tAppendix A. List of Symbols -- $tBibliography -- $tIndex 330 $aMany industries, such as transportation and manufacturing, use control systems to insure that parameters such as temperature or altitude behave in a desirable way over time. For example, pilots need assurance that the plane they are flying will maintain a particular heading. An integral part of control systems is a mechanism for failure detection to insure safety and reliability. This book offers an alternative failure detection approach that addresses two of the fundamental problems in the safe and efficient operation of modern control systems: failure detection--deciding when a failure has occurred--and model identification--deciding which kind of failure has occurred. Much of the work in both categories has been based on statistical methods and under the assumption that a given system was monitored passively. Campbell and Nikoukhah's book proposes an "active" multimodel approach. It calls for applying an auxiliary signal that will affect the output so that it can be used to easily determine if there has been a failure and what type of failure it is. This auxiliary signal must be kept small, and often brief in duration, in order not to interfere with system performance and to ensure timely detection of the failure. The approach is robust and uses tools from robust control theory. Unlike some approaches, it is applicable to complex systems. The authors present the theory in a rigorous and intuitive manner and provide practical algorithms for implementation of the procedures. 410 0$aPrinceton series in applied mathematics. 606 $aSystem failures (Engineering) 606 $aFault location (Engineering) 606 $aSignal processing 615 0$aSystem failures (Engineering) 615 0$aFault location (Engineering) 615 0$aSignal processing. 676 $a620.0044 700 $aCampbell$b Stephen L., $0471255 702 $aNikoukhah$b Ramine, 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a9911006876903321 996 $aAuxiliary Signal Design for Failure Detection$94392284 997 $aUNINA