Rotating Machinery Fault Diagnosis Experimental Expert System

Rotating machinery is the most important part of various rotating machinery.and they are widely used.Therefore.accurate fault diagnosis of rotating machinery and maintenance of equipment is extremely important.rotor system is always the fault-prone part of rotating machinery.If any mechanical failure happens.the fault will result in huge economic losses.Therefore,to carry out rotor fault diagnosis expert system is of great academic and economic significance.First,this paper simulate the failure of several typical rotating machinery's pototype and summarize the reason that result in problems. Second, this paper summarize some expert's experience and study the Construction of Expert System and technology,Which Includes the problem of knowledge representation, visualization programming, and database programming techniques, and then using SQL2000 and VC + + language to establishment a knowledge database and inference engine of the development, which improve the rotating machinery fault experimental expert system for diagnosis. The details are as follows:1)Typical failure of rotating machinery, such as rotor imbalance was simulated in experiment ,summarized and analysed.2)By application which include form,rules and data type classification of data structures, The SQL2000 database will have an open database platform.So the follow-up data structure can be improved and it can provide enough room for expansion to entry the typical experimental data ,expert knowledge base and experience into the database as a comparison.3)The human-computer interaction expert system interface and inference engine of the expert system was successful developed by Visual.C + +.To increase the reasoning accuracy, hybrid Reasoning Algorithm is adopted.4)Select examples of actual failure to verify the diagnosis reasoning .