یک رویکرد اصولی برای تشخیص عیب یکپارچه از سیستم های تولید انعطاف پذیر

A flexible manufacturing system (FMS) is an application of modern manufacturing techniques. Like for other manufacturing equipment, the success of an FMS is very much dependent upon its trouble-free operation. It is crucial to monitor all the possible faults or abnormalities in real time and, when a fault is detected, react quickly in order to maintain the productivity of the FMS. Because of the complexity of FMSs, the functionally complete diagnosis of an FMS should be based on all the available information and various advanced diagnostic techniques so as to get a satisfactory result. This paper proposes a systematic approach to fault diagnosis of FMSs that integrates condition monitoring, fault diagnosis and maintenance planning. An intelligent integrated fault-diagnosis system is designed with a modular and reconfigurable structure. The implementation of the integrated diagnosis system is presented in detail. The system can monitor the major conditions and diagnose the major faults of an FMS, and give corresponding maintenance planning as well. The developed system has been applied to an existing FFS-1500-2 FMS in Zhengzhou Textile Machinery Plant and has achieved good results.

With the development of modern manufacturing technology, flexible manufacturing systems (FMSs) have become key equipment in factory automation. This kind of manufacturing equipment is being used more and more widely because of its potential to improve the strategic and competitive position of firms. However, such manufacturing equipment is very dependent upon the trouble-free operation of all its component parts. When a fault occurs, it is critical to isolate the causes as rapidly as possible and to take appropriate maintenance action. Typically, when an FMS goes down, only a small fraction of the downtime is spent repairing the machine that causes the fault. Up to 80% of the downtime is spent locating the source of the fault [1]. For this reason, corresponding diagnostic techniques and systems have been studied extensively with the application and dissemination of FMSs.

The research described in this paper has introduced a systematic approach to integrated fault diagnosis of FMSs. The designed system is an intelligent integrated system with a modular and reconfigurable structure. The system is capable of the functions of condition monitoring, fault diagnosis, and maintenance planning. The system has been implemented on an FFS-1500-2 FMS but its generic aspects can also be provided as a turnkey solution to other manufacturing equipment. Future work on this research will focus on refinement of the monitoring and diagnostic algorithm, improvement of the system design and implementation, and investigation of the potential for a learning strategy. It would be ideal to make the integrated system adapt to changes in various monitoring and diagnostic environments. Furthermore, in order to popularize the use of such a system and also to improve its efficiency, it is important to identify a generic strategy/standard to host the integrated diagnosis expert system on the controllers of FMSs.