Fault diagnosis method using network and fuzziness

Tong Song; Baoqiang Song; Qiong Fu

doi:10.1117/12.403870

10 October 2000 Fault diagnosis method using network and fuzziness

Tong Song, Baoqiang Song, Qiong Fu

Proceedings Volume 4222, Process Control and Inspection for Industry; (2000) https://doi.org/10.1117/12.403870
Event: Optics and Optoelectronic Inspection and Control: Techniques, Applications, and Instruments, 2000, Beijing, China

Abstract

This paper presents the fault diagnostic method using neural network and fuzziness of sensor readings. Neural network trains the data of abnormal patterns are acquired from the fault tree. And sensor readings are processed by membership functions. In diagnosis, attaching factor is inputted in neural network, then the cause of process malfunction is inferred. A pilot plant is used to demonstrate the effectiveness of proposal method.

Citation Download Citation

Tong Song, Baoqiang Song, and Qiong Fu "Fault diagnosis method using network and fuzziness", Proc. SPIE 4222, Process Control and Inspection for Industry, (10 October 2000); https://doi.org/10.1117/12.403870

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