Multi-Objective Optimal Placement of Sensors Based on Quantitative Evaluation of Fault Diagnosability

A multi-objective optimal sensor placement method based on quantitative evaluation of fault diagnosability is proposed. Fault diagnosability evaluation is the basis of fault diagnosis, and insufficient sensor point information is the main reason for the low quantitative evaluation index of fault dia...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.117850-117860
Main Authors: Jiang, Dong-Nian, Li, Wei
Format: Article
Language:English
Subjects:
Estimation
Fault detection
Fault diagnosability
Fault diagnosis
Multiple objective analysis
Noise measurement
NSGA-II
Optimization
Placement
Probability density function
Quantitative analysis
quantitative evaluation
sensor placement
Sensor systems
Sensors
System reliability
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Summary:A multi-objective optimal sensor placement method based on quantitative evaluation of fault diagnosability is proposed. Fault diagnosability evaluation is the basis of fault diagnosis, and insufficient sensor point information is the main reason for the low quantitative evaluation index of fault diagnosability. Therefore, a method to improve the fault diagnosability of a system by adding soft and hard sensors is presented. However, increasing sensors is limited by the constraints of cost, reliability and complexity. In view of this and based on ensuring the fault diagnosability, a multi-objective optimization method for the sensors is proposed to improve system reliability and promote development towards stability, efficiency and economy.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2936369