Diagnosing hybrid dynamical systems: fault graphs, statistical residuals and Viterbi algorithms

Basseville, Michèle; Benveniste, Albert; Tromp, Laurens D.

doi:10.1109/cdc.1998.761804

Cited by 13 publications

(5 citation statements)

References 9 publications

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“…The fault detection and diagnosis (FDD) problem for industrial processes has 0020-0255/$ -see front matter Ó 2006 Elsevier Inc. All rights reserved. doi:10.1016/j.ins.2006.08.004 been studied using untimed and timed discrete-event system (DES) models [15,16,21,8,6,12,14,10,4,13], asynchronous DES [3], distributed diagnosis [17], stochastic automata [18], and hybrid dynamic system (HDS) models [7,19,11,2,9]. Usually industrial processes involve continuous variables which pure DES models cannot capture.…”

Section: Introductionmentioning

confidence: 99%

Fault diagnosis in discrete time hybrid systems – A case study

Bhowal¹,

Sarkar

Mukhopadhyay

et al. 2007

Information Sciences

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Section: Introductionmentioning

confidence: 99%

Fault diagnosis in discrete time hybrid systems – A case study

Bhowal¹,

Sarkar

Mukhopadhyay

et al. 2007

Information Sciences

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“…The failure diagnosis problem for may applications has been studied using untimed and timed Discrete Event System (DES) models [1], [2], [3] and also Hybrid System (HS) models [4], [5], [6], [7]. Usually, most of the applications involve continuous variables which pure DES models cannot directly capture.…”

Section: Introductionmentioning

confidence: 99%

Equivalence of Fair Diagnosability and Stochastic Diagnosability of Discrete Event Systems

Biswas

2013

2013 IEEE International Conference on Systems, Man, and Cybernetics

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The failure diagnosis problem for a wide variety of systems has been studied using Discrete Event System (DES) models. The DES framework declares a fault as non-diagnosable if there is a cycle through failure states which cannot be distinguished from a similar cycle through normal states. Thorsley et al. showed that mere presence of such a cycle through faulty states to declare the failure non-diagnosable, does not hold for many system e.g., once having continuous dynamics. Thorsley et al. proposed a new DES paradigm where the classical DES model was augmented with probabilities of transitions. In the stochastic framework, failure is considered diagnosed when it is found that probability of the system traversing though failure states is higher than a threshold. Latter, Biswas et al. have proposed another DES paradigm to handle similar systems, where fairness was augmented to the classical DES model. The claim was, the abstraction employed in obtaining DES models from many systems e.g., those having continuous dynamics often obliterates the fairness property. The diagnosability condition in this case checks if there exists equivalent Strongly Connected Components (SCCs) involving failure states and normal states. The present paper establishes formal equivalence of stochastic DES and Fair DES frameworks and the diagnosability conditions.

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“…Compared with the efforts on the analysis and control of hybrid systems, however, the problems of fault detection and monitoring have received less attention. Examples of important contributions in this direction include the design of switched state estimation schemes for switched linear systems23–25 as well as the development of fault diagnosis algorithms using hybrid automata theory,26 hybrid bond graph models,27, 28 and statistical data‐based methods 29…”

Section: Introductionmentioning

confidence: 99%

Synthesis, characterization, and electro‐optical properties of a soluble conjugated polymer containing an oxadiazole unit in the main chain

Zhang

Kong

Sun

et al. 2003

J of Applied Polymer Sci

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A novel copolymer, poly{[2,5-diphenylene-1,3,4-oxadiazole-vinylene]-alt-[2-methoxy-5-(2-ethylhexyloxy)-1,4-phenylenevinylene]}(MEH-OPPV) containing a high-electron-affinity unit of aromatic oxadiazole in the main chain is synthesized through the Wittig condensation reaction. The obtained copolymer is easily soluble in conventional organic solvents. The structure of the copolymer was characterized by Fourier transform infrared, 1 H nuclear magnetic resonance, thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), and ultraviolet-visible and photoluminescence spectroscopy. The TGA result indicates that the copolymer has very high thermal stability (stable up to 310°C in nitrogen), while DSC investigation demonstrates that the glass transition temperature (T g ) is 143°C, which might be a merit for the long-life operation of light-emitting devices. The absorption spectrum of film sample of the copolymer reveals two peaks at 310 and 370 nm, respectively, and the edge absorption corresponds to a band gap of 2.46 eV. A single-layer light-emitting diode device ITO/MEH-OPPV/Al is successfully fabricated. The device emits visible yellowish-green light above the bias voltage of 4.0 V under ambient condition.

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Diagnosing hybrid dynamical systems: fault graphs, statistical residuals and Viterbi algorithms

Cited by 13 publications

References 9 publications

Fault diagnosis in discrete time hybrid systems – A case study

Fault diagnosis in discrete time hybrid systems – A case study

Equivalence of Fair Diagnosability and Stochastic Diagnosability of Discrete Event Systems

Synthesis, characterization, and electro‐optical properties of a soluble conjugated polymer containing an oxadiazole unit in the main chain

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