A Visual Intelligent Fault Diagnostic System For Rotating Machinery
Caichao Zhu · Mechanical Science and Technology · 2005
This paper introduces basic idea, method and key technology of the visual intelligent fault diagnosis system for the rotating machinery; discusses how to obtain the intelligent fault diagnosis expert knowledge about rotating machinery and build up the graphic expert knowledge database as well as the integrated intelligent ratiocination mechanism which comprises of expert knowledge system, fuzzy logic and artificial neural network. The software system is composed of signal collecting and analysing, automatical characteristic parameter discerning abstracting, and the function for integrating the graphic expert knowledge database into combination intelligent ratiocination mechanism. It is able to intelligently diagnose the typical faults of rotating machinery, such as the possible type, reason, position, serious level, occurring time of faults and expert′s advice for dealing with the faults. This software can realize fault examination, separation, discrimination and countermeasure. Furthermore, it can realize long-distance supervision and diagnosis by network.