|Place of Conferral||北京|
|Keyword||航空发动机 故障诊断 故障树分析 专家系统|
|Other Abstract||It is significant to make a rapid diagnosis and offer maintenance suggestions when the aircraft fault happened, which is important to improve the flight safety and reduce the operation cost. The traditional diagnosis method of aero engine mainly uses the off-line manual diagnosis and the diagnosis efficiency is low. According to the statistics, it needs to spend half an hour for data interpretation and comparison for one hour running data. This paper takes a certain type of engine ground fault diagnosis project as the background. Comparison and analyses of the fault diagnosis methods based on the module, the fault diagnosis methods based on data driven and the fault diagnosis methods based on knowledge was given, the expert system was selected due to its good practicability and expansibility. This paper mainly focused on developing a fault diagnosis expert system of aero engine based on intelligent analysis to realize accurate, rapid diagnosis.|
The main content of the paper are as follows:
(1) The current research status of engine diagnosis and expert system at home and
abroad were analyzed in order to determine the studying direction of this paper.
(2) Comparison and analyses of the fault diagnosis methods based on the module, the fault diagnosis methods based on data driven and the fault diagnosis methods based on knowledge was given, the advantages and disadvantages of each method and its application range were analyzed, eventually the expert system was selected to resolve the issues for the point of view of engineering practicability.
(3) For solving the problem of knowledge acquisition and fault automatic reasoning in expert system,a intelligent analysis method based on fault tree analasis and rule reasoning is proposed. In particular, use the fault tree qualitative analysis to solve the minimal cut sets, and then use the minimum cut sets to generate a series of simplified fault reasoning rules. It can improve the speed of fault diagnosis through avoiding complex logical reasoning based on fault tree.
(4) A software framework of fault diagnosis expert system of aero engine based on intelligent analysis was designed. Then, a practical aero engine fault diagnosis expert system was developed based on the windows platform with VC++ programming environment and MySQL.
The research results are of important practical value to improve the efficiency of aero engine fault diagnosis and achieve accurate, fast automated diagnosis. The aero engine fault diagnosis expert system based on intelligent analysis has been successfully implied in a company of Aviation Industry Corporation of China, it has been proved that the system is effective to make fast fault diagnosis on the real engine data, as the diagnosis accuracy and speed meet the predefined requirements.
|姚琦. 基于智能分析的航空发动机故障诊断专家系统研究[D]. 北京. 中国科学院研究生院,2016.|
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