A fault isolation method based on the incidence matrix of an augmented system

2017 International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Chen, Changxiong^1 ; Chen, Liping^1 ; Ding, Jianwan^1 ; Wu, Yizhong^1

National CAD Supported Software Engineering Centre, Huazhong University of Science and Technology, Wuhan, China^1

关键词: Augmented systems;    Diagnosis systems;    Fault isolation;    Incidence matrices;    Original system model;    Redundant sensors;    Sensor measurements;    State variables;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/322/7/072056/pdf
DOI  :  10.1088/1757-899X/322/7/072056

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

A new approach is proposed for isolating faults and fast identifying the redundant sensors of a system in this paper. By introducing fault signal as additional state variable, an augmented system model is constructed by the original system model, fault signals and sensor measurement equations. The structural properties of an augmented system model are provided in this paper. From the viewpoint of evaluating fault variables, the calculating correlations of the fault variables in the system can be found, which imply the fault isolation properties of the system. Compared with previous isolation approaches, the highlights of the new approach are that it can quickly find the faults which can be isolated using exclusive residuals, at the same time, and can identify the redundant sensors in the system, which are useful for the design of diagnosis system. The simulation of a four-tank system is reported to validate the proposed method.