A syntactic methodology for automatic diagnosis by analysis of continuous time measurements using hierarchical signal representations

Tümer, M. Borahan; Belfore, Lee A.; Ropella, Kristina M.

doi:10.1109/tsmcb.2002.804365

Cited by 19 publications

(12 citation statements)

References 26 publications

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“…Update of the membership value of the state φ j of M , which is connected to state φ i via the transition a i takes place using the fuzzy inference rule [4]- [5]:…”

Section: Syntactic Analysis Using Fuzzy Automatamentioning

confidence: 99%

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Fuzzy Automata for Fault Diagnosis: A Syntactic Analysis Approach

Rigatos

Tzafestas

2004

Methods and Applications of Artificial Intelligence

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Abstract. Fuzzy automata are proposed for fault diagnosis. The output of the monitored system is partitioned into linear segments which are assigned to pattern classes (templates) with the use of fuzzy membership functions. A sequence of templates is generated and becomes input to fuzzy automata which have transitions that correspond to the templates of the properly functioning system. If the automata reach their final states, i.e. the input sequence is accepted by the automata with a membership degree that exceeds a certain threshold, then normal operation is deduced, otherwise, a failure is diagnosed. Fault diagnosis of a DC motor and detection of abnormalities in the ECG signal are used as case studies.

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“…Update of the membership value of the state φ j of M , which is connected to state φ i via the transition a i takes place using the fuzzy inference rule [4]- [5]:…”

Section: Syntactic Analysis Using Fuzzy Automatamentioning

confidence: 99%

“…Update of the membership value of the state φ j of M , which is connected to state φ i via the transition a i takes place using the fuzzy inference rule [4]- [5]. After having applied input b, the fuzzy membership of the final state of a provides a measure of the matching between strings b and a.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Automata for Fault Diagnosis: A Syntactic Analysis Approach

Rigatos

Tzafestas

2004

Methods and Applications of Artificial Intelligence

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“…Update of the membership value of the state / j of M, which is connected to state / i via the transition a i takes place using the fuzzy inference rule [31,35,36]. After having applied input b, the membership function of the final state of a provides a measure of the matching between strings b and a.…”

Section: Introductionmentioning

confidence: 99%

Fault detection and isolation based on fuzzy automata

Rigatos

2009

Information Sciences

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“…We are only aware of [14], where fuzzy automata are used in clinical monitoring (see also [15]). Knowledge-based records for HIV patient are discussed in [13].…”

Section: Introductionmentioning

confidence: 99%

Decision making in fuzzy discrete event systems

Lin

Ying

MacArthur

et al. 2007

Information Sciences

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The primary goal of the study presented in this paper is to develop a novel and comprehensive approach to decision making using fuzzy discrete event systems (FDES) and to apply such an approach to real-world problems. At the theoretical front, we develop a new control architecture of FDES as a way of decision making, which includes a FDES decision model, a fuzzy objective generator for generating optimal control objectives, and a control scheme using both disablement and enforcement. We develop an online approach to dealing with the optimal control problem efficiently. As an application, we apply the approach to HIV/AIDS treatment planning, a technical challenge since AIDS is one of the most complex diseases to treat. We build a FDES decision model for HIV/AIDS treatment based on expert's knowledge, treatment guidelines, clinic trials, patient database statistics, and other available information. Our preliminary retrospective evaluation shows that the approach is capable of generating optimal control objectives for real patients in our AIDS clinic database and is able to apply our online approach to deciding an optimal treatment regimen for each patient. In the process, we have developed methods to resolve the following two new theoretical issues that have not been addressed in the literature: (1) the optimal control problem has state dependent performance index and hence it is not monotonic, (2) the state space of a FDES is infinite.

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A syntactic methodology for automatic diagnosis by analysis of continuous time measurements using hierarchical signal representations

Cited by 19 publications

References 26 publications

Fuzzy Automata for Fault Diagnosis: A Syntactic Analysis Approach

Fuzzy Automata for Fault Diagnosis: A Syntactic Analysis Approach

Fault detection and isolation based on fuzzy automata

Decision making in fuzzy discrete event systems

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