000 03467nam a22006015i 4500
001 978-1-4614-0031-8
003 DE-He213
005 20200421112037.0
007 cr nn 008mamaa
008 140324s2014 xxu| s |||| 0|eng d
020 _a9781461400318
_9978-1-4614-0031-8
024 7 _a10.1007/978-1-4614-0031-8
_2doi
050 4 _aTJ210.2-211.495
050 4 _aTJ163.12
072 7 _aTJFM
_2bicssc
072 7 _aTJFD
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTEC037000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aSayed-Mouchaweh, Moamar.
_eauthor.
245 1 0 _aDiscrete Event Systems
_h[electronic resource] :
_bDiagnosis and Diagnosability /
_cby Moamar Sayed-Mouchaweh.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2014.
300 _aVII, 69 p. 58 illus., 4 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
505 0 _aIntroduction to the diagnosis of discrete event systems -- Centralized diagnosis of discrete event systems -- Decentralized diagnosis of Discrete Event Systems -- Conclusion and discussion.
520 _aDiscrete Event Systems: Diagnosis and Diagnosability addresses the problem of fault diagnosis of Discrete Event Systems (DES). This book provides the basic techniques and approaches necessary for the design of an efficient fault diagnosis system for a wide range of modern engineering applications. The different techniques and approaches are classified according to several criteria such as: modeling tools (Automata, Petri nets) that is used to construct the model; the information (qualitative based on events occurrences and/or states outputs, quantitative based on signal processing and data analysis) that is needed to analyze and achieve the diagnosis; the decision structure (centralized, decentralized) that is required to achieve the diagnosis. The goal of this classification is to select the efficient method to achieve the fault diagnosis according to the application constraints. This book focuses on the centralized and decentralized event based diagnosis approaches using formal language and automata as modeling tool. The work includes illustrated examples of the presented methods and techniques as well as a discussion on the application of these methods on several real-world problems.
650 0 _aEngineering.
650 0 _aComputer science
_xMathematics.
650 0 _aDynamics.
650 0 _aErgodic theory.
650 0 _aComputer mathematics.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 1 4 _aEngineering.
650 2 4 _aControl, Robotics, Mechatronics.
650 2 4 _aDiscrete Mathematics in Computer Science.
650 2 4 _aComputational Mathematics and Numerical Analysis.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aDynamical Systems and Ergodic Theory.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461400301
830 0 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-0031-8
912 _aZDB-2-ENG
942 _cEBK
999 _c56437
_d56437