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Mathematical Problems in Engineering
Volume 2014, Article ID 537452, 10 pages
Research Article

An Adaptive Maintenance Model Oriented to Process Environment of the Manufacturing Systems

1State Key Lab of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China
2Robotics and Microsystems Center, Soochow University, Suzhou 215006, China

Received 29 April 2014; Revised 28 May 2014; Accepted 30 May 2014; Published 29 June 2014

Academic Editor: Xuefeng Chen

Copyright © 2014 Xun Gong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We explored an adaptive maintenance model of the process environment to diagnose progressive faults in manufacturing systems. Progressive faults are usually caused by deterioration of the operating environment or aging and show stochastic properties. Many researchers have reported how to detect faults on the machine body in manufacturing systems. However, little research has been conducted on the process environment which causes progressive faults. To tackle this problem, we explored an adaptive maintenance model to detect progressive faults and repair the process environment on the E-repair location. When a difference of the environmental factor state is detected, it will combine the transcription factor and the state enzyme to locate fault source. Then the comprehensive maintenance program is derived to repair the operating environment while eliminating progressive faults. For the purpose of validation, this model was implemented on the process environment of the air separation plant. And the simulation experiments validated the feasibility and effectiveness of this method.