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The Study of Drilling Trolley Hydraulic System and Trouble Diagnose

Author: XueChengHao
Tutor: ZhaoGuangYao´╝ŤWangZhiSheng
School: Northeastern University
Course: Mechanical Engineering
Keywords: Drill rig hydraulic system Fault Diagnosis Knowledge Acquisition Knowledge Representation Expert system
CLC: TD421.24
Type: Master's thesis
Year: 2007
Downloads: 99
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Through the study of the structure and principles of the drill rig hydraulic system , hydraulic system fault detection techniques summarized , based on the theory of knowledge engineering , the use of object-oriented design method was constructed based ESP ( expert System Platform) platform hydraulic system fault diagnosis expert system . Full hydraulic drill rig hydraulic system , the structure and working principle of the hydraulic components of research and analysis to summarize and summary of the hydraulic system fault detection method parameter detection method works focus on its application in the theory Research and analysis on the main parameters affecting the drilling , collected a drill rig in the production process of the hydraulic system of common faults and their causes . Described the basic concepts of expert systems , knowledge representation and acquisition , and make full use of the object-oriented knowledge representation method to complete the overall design of the drill rig hydraulic system class . Uses a modular design approach to construct the knowledge base, and in the design of the system , some of the typical elements or diagnosis circuit as a unit body , added to any one of high - level systems in the diagnosis of body , improved efficiency . The use of the knowledge of the expert system , the completion of the drill rig hydraulic system failure , plot the fault structure diagram of the hydraulic system , the completion of the construction of the diagnostic knowledge base of the trolley . The use of the basic concepts of the theory of software engineering and database , to complete the construction of the trolley hydraulic system fault diagnosis knowledge base ER diagram . Finally, a drill rig hydraulic system fault diagnosis expert system based on the ESP platform .

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