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	Incipient actuator fault identification with fuzzy relational model and adaptive rules
	Yimin Zhou
	2016
会议名称	CCC2016
会议地点	四川成都
英文摘要	In this paper, a novel algorithm is proposed to identify the incipient actuator fault with the fuzzy relational model and adaptive updating rules. Normally, it is difficult to odel a nonlinear, information poor system with physical model or mathematical model. Hence a black-box with input/output measurements data is used to develop the system behaviour. A fuzzy relational model technique is adopted here via the global least square identification algorithm to identify the model performance. The fault is detected via the discrepancy between the system output and model output. With the aid of augmented error technique from model reference adaptive control, the fault can be reconstructed and fed back to the control input to compensate the fault influence on the model. An cooling-coil subsystem is used as an example to perform the experiments for the incipient actuator fault identification. Simulation experiments results have been verified the effectiveness of the proposed method.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/10082]
专题	深圳先进技术研究院_集成所
作者单位	2016
推荐引用方式 GB/T 7714	Yimin Zhou. Incipient actuator fault identification with fuzzy relational model and adaptive rules[C]. 见:CCC2016. 四川成都.

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