最大概率方法在伺服系统故障诊断上的应用_英文_.pdfVIP

Journal of Beij ing Institute of Technology , 2002, Vol. 11, No. 1 Application of Maximum Probability Approach to the Fault Diagnosis of a Servo System 1 1 2 MA Dongsheng , HU Youde , DAI Fengzhi ( 1Department of Automatic Control, eijing Institute of Technology, eijing 100081, China; 2Department of Electrical and Electronic Engineering, Oita University, Oita 8701124, Japan) Abstract: In an actual control system, it is often difficult to findout w here the faults are if only based on the out side fault phenomena, acquired frequently from a fault system. So the fault diagnosis by outside fault phenomena is considered. ased on the theory of fuzzy recognition and fault diagnosis, this method only depends on experi ence and statistical data to set up fuzzy query relationship between the outside phenomena ( fault characters) and the fault sources( fault patterns) . From thisrelationship the most probable fault sources can be obtained, to attain the goal of quick diagnosis. ased on the above approach, the standard fuzzy relationship matrix is stored in the computer as a system database. And experiment data are given to show the fault diagnosis results. The important parameters can be online sampled and analyzed, and w hen faults occur, faults can be found, the alarm is given and the controller output is regulated. Key words: maximum probability approach; fault diagnosis; fault tree; servo system C Cnumber: TP 273 Document code: A Article ID: 2002 It is often difficult to detect and diagnose the cording to the outside phenomena and some points faults for nonlinear, pure