Development of automatic discriminating approach of process condition for FMC condition monitoring and fault diagnosis

Jinbo Qiu; Xisen Wen; Bingyang Tang

doi:10.1117/12.217510

28 August 1995 Development of automatic discriminating approach of process condition for FMC condition monitoring and fault diagnosis

Jinbo Qiu, Xisen Wen, Bingyang Tang

Author Affiliations +

Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995) https://doi.org/10.1117/12.217510
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China

Abstract

Based on the features of flexible machining devices and processes, and the requirements of monitoring and diagnosis, a multi-parameter describing and discriminating model of machining operating mode and process condition has been presented to satisfy the real-time monitoring and diagnosis under the actual flexible machining environments. It mainly contains three parts: the analysis of feature parameters and the normalized processing, the tracing and analysis of information of the rotating speed of motors, and the identification of the change of condition caused by the workpiece outline and the operating time-series. A practical system run successfully indicates the efficiency of the model.

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Jinbo Qiu, Xisen Wen, and Bingyang Tang "Development of automatic discriminating approach of process condition for FMC condition monitoring and fault diagnosis", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); https://doi.org/10.1117/12.217510

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