The Research and Development of Mine Main Fan’s On-Line Fault Diagnosis Expert System

Qiang Zhao

doi:10.4028/www.scientific.net/AMR.433-440.1057

Paper Titles

Research on Voltage-Chopping and Energy-Saving Controlling Technology for Three-Phase AC Asynchronous Motor
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Research on Effects of Land Use/Cover Change on Soil Erosion
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Research on a Special Scarifier Mechanism with Finite Element Analysis Method
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Dynamic Character Study on Cool Thermal Energy Storage Process of Storage Tank for Air-Conditioning System
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The Research and Development of Mine Main Fan’s On-Line Fault Diagnosis Expert System
p.1057

An Energy-Balanced Routing Scheme Based on Prim Algorithm in Heterogeneous Wireless Sensor Networks
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Transient Power Quality Disturbances Identification and Classification Using Wavelet and Support Vector Machines
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A New Real-Time Gas Well Productivity Evaluating Method
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Algorithm of Continuous Power Flow Considering Auto-Disconnection of Large-Scale Wind Farms
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440The Research and Development of Mine Main Fan’s...

The Research and Development of Mine Main Fan’s On-Line Fault Diagnosis Expert System

Abstract:

In order to diagnose mine fan fault timely, to enhance and improve the level of safety of coal mining enterprises, construct fuzzy expert system based on multiple symptom. The system presents a inference model based on rules and cases, establish fault diagnosis knowledge base of the rules and cases.Using pros and cons mixed reasoning strategy, according to the fault symptom obtained from man-machine conversation, dialogue diagnosis was carried out on the equipment fault.Use the calculation of symptom and rules confidence to produce fault result confidence to screen and order the faults,and export supporting information such as the diagnostic process explanation and maintenance plan and so on,which is convenient for users to understand and carry out various processing.