期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 66, 期 5, 页码 2393-2398出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2020.3008712
关键词
Petri nets; Fault diagnosis; Integer linear programming; Discrete-event systems; Labeling; Linear programming; Modeling; Discrete event system; fault diagnosis; integer linear programming (ILP); Petri net
资金
- National Key R&D Program of China [2018YFB1700104]
- National Natural Science Foundation of China [61873342, 61703321]
- Science and Technology Development Fund, Macau SAR [0017/2019/A1, 0012/2019/A1, 0002/2019/APD]
- 2017 Sino-French Cai Yuanpei Program
In this article, a fault diagnosis approach for discrete event systems using labeled Petri nets is presented, with the introduction of a new fault class leading to a more informative and precise diagnosis result. An ILP problem is built based on an observed word, and different objective functions can be specified to obtain the diagnosis result without enumerating all possible transition sequences, making it more efficient compared to existing approaches.
In this article, we present a fault diagnosis approach for discrete event systems using labeled Petri nets. In contrast to the existing works, a new fault class containing all the fault transitions is additionally introduced in the diagnosis function, leading to a more informative and precise diagnosis result. An integer linear programming (ILP) problem is built according to an observed word. By specifying different objective functions to the ILP problem, the diagnosis result is obtained without enumerating all observable transition sequences consistent with the observed word, which is more efficient in comparison with the existing ILP-based approaches.
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