Sensor Placement for Fault Diagnosis Using Genetic Algorithm

被引:0
|
作者
Chi, Guoyi [1 ]
Wang, Danwei [1 ]
Yu, Ming [1 ]
Alavi, Marjan [1 ]
Le, Tung [2 ]
Luo, Ming [2 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Ctr E City, EXQUISITUS, Singapore 639798, Singapore
[2] Mfg Execut & Control Grp, SIMTech, STAR, Singapore 638075, Singapore
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中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a novel methodology for the purpose of fault detection and isolation (FDI) to a two-tank system. This new methodology benefits from the basic facts that faults are embedded in the analytical redundancy relations (ARRs) and that the occurrence of a fault will cause the corresponding ARRs to change. Based on these facts, the minimal isolation set as an important concept is introduced to make each fault in the fault set F detectable and isolable. Then, the sensor placement problem consists in determining an optimal minimal isolation set associated with the least number of sensors. A dedicated genetic algorithm is developed to solve the formulated sensor placement problem. A case study of a two-tank system shows that the proposed methodology performs well.
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页数:7
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