Universiti Teknologi Malaysia Institutional Repository

A bidirectional diagnosis algorithm of fuzzy Petri net using inner-reasoning-path

Zhou, K. Q. and Gui, W. H. and Mo, L. P. and Zain, A .M. (2018) A bidirectional diagnosis algorithm of fuzzy Petri net using inner-reasoning-path. Symmetry, 10 (6). ISSN 2073-8994

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Official URL: http://dx.doi.org/10.3390/sym10060192

Abstract

Fuzzy Petri net (FPN) is a powerful tool to execute the fault diagnosis function for various industrial applications. One of the most popular approaches for fault diagnosis is to calculate the corresponding algebra forms which record flow information and three parameters of value of all places and transitions of the FPN model. However, with the rapid growth of the complexity of the real system, the scale of the corresponding FPN is also increased sharply. It indicates that the complexity of the fault diagnosis algorithm is also raised due to the increased scale of vectors and matrix. Focusing on this situation, a bidirectional adaptive fault diagnosis algorithm is presented in this article to reduce the complexity of the fault diagnosis process via removing irrelevant places and transitions of the large-scale FPN, followed by the correctness and algorithm complexity of the proposed approach that are also discussed in detail. A practical example is utilized to show the feasibility and efficacy of the proposed method. The results of the experiments illustrated that the proposed algorithm owns the ability to simplify the inference process and to reduce the algorithm complexity due to the removal of unnecessary places and transitions in the reasoning path of the appointed output place.

Item Type:Article
Uncontrolled Keywords:Algorithm complexity, Correctness, Fault diagnosis, Fuzzy petri net, Inner-reasoning-path
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:79732
Deposited By: Fazli Masari
Deposited On:28 Jan 2019 06:37
Last Modified:28 Jan 2019 06:37

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