Share Email Print

Proceedings Paper

Development of automatic discriminating approach of process condition for FMC condition monitoring and fault diagnosis
Author(s): Jinbo Qiu; Xisen Wen; Bingyang Tang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 28 August 1995
PDF: 6 pages
Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217510
Show Author Affiliations
Jinbo Qiu, National Univ. of Defense Technology (China)
Xisen Wen, National Univ. of Defense Technology (China)
Bingyang Tang, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 2620:
International Conference on Intelligent Manufacturing
Shuzi Yang; Ji Zhou; Cheng-Gang Li, Editor(s)

© SPIE. Terms of Use
Back to Top