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Study on Fault Diagnosis Expert System for Loader Hydraulic System

Author: WuHeBin
Tutor: SunYongHou
School: Guilin University of Electronic Science and Technology
Course: Mechanical Design and Theory
Keywords: loader hydraulic system expert system fault diagnosis knowledge reduction hybrid reasoning
CLC: TH243
Type: Master's thesis
Year: 2009
Downloads: 186
Quote: 3
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Abstract


Construction machinery is the main equipment in the national economy. Loaderis a kind of construction machinery which has the characteristics of high e?ciencyand extensive use. Therefore it is very important to develop the fault diagnosis ex-pert system for loader hydraulic system, which is conducive to timely eliminate faultand hidden danger, make full use of loader’s maximum e?cacy and avoid unneces-sary losses, and ensure construction quality and speed up construction progress, andimprove economic benefit. This thesis is financially supported by Guangxi EducationDepartment. Based on analysis of the development status of fault diagnosis technologyfor hydraulic systems, the implementation technology of fault diagnosis expert systemfor loader hydraulic systems (LHSFDES) is thoroughly studied. The main researchcontents and achievements are shown as follows:Firstly, by way of analyzing the basic functions, characteristics, general structureand working principle of expert system , and studying the general design principles,construction steps and systematic evaluation of expert system ,thus providing a theo-retical basis for the establishment of LHSFDES.Secondly, the knowledge of LHSFDES is established. On the basis of analyzingthe characteristics of loader hydraulic system fault, the natural language is chosen asthe knowledge representation for case-based knowledge base, and the format of”rules+ fault-tree”is selected as knowledge representation for rule-based knowledge base,and the knowledge is stored in the database(SQL Server 2000) with the form of datatables. Based on analysis of the fault-tree hierarchical model, the general knowledge isobtained by the artificial hierarchical acquisition method. Based on establishment ofthe model for fault diagnosis decision table, the rule knowledge is obtained by takingdi?erential matrix reduction algorithm and heuristic value reduction algorithm, andusing rule detection and precision algorithm.Thirdly, the reasoning of LHSFDES is established. According to the fault symp-tom for user, the fault diagnosis reasoning is implemented by taking a hybrid reasoningwhich combines case-based reasoning with uncertainty reasoning, and using forwardreasoning and backward reasoning as the reasoning strategy.Finally, the overall structure of LHSFDES and modules structure are designed,and the implementation techniques and methods of each function modules are studied.On the basis of the platform of Visual C++ 6.0 and SQL Server 2000, each modulefunction is achieved and the intuitive, friendly interface is completed. The result showsthat the expert system applying in the loader hydraulic system fault diagnosis is feasibleand e?ective.

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CLC: > Industrial Technology > Machinery and Instrument Industry > Lifting machinery and transport machinery > Loading and unloading machinery > Loader
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