Research on Extracting Vehicle Fault Symptoms Based on Rough Sets Theory in Mechanical Engineering

Chang Shun Wang

doi:10.4028/www.scientific.net/AMR.644.110

Paper Titles

Four Synchronous Transfer Mode of USB in Mechanical Engineering
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The Design of Cutting Tools Database in Mechanical Engineering
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The Development of Air Suspension Controller in Mechanical Engineering Based on DSP
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Fault Pattern Recognition for Partial Discharge of Electrical Power Equipment Based on Properties of Electrical Materials
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Research on Extracting Vehicle Fault Symptoms Based on Rough Sets Theory in Mechanical Engineering
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Feedback Linearization Control for PMSG Wind Power Generation System with Application of Wind Turbine in Mechanical Engineering
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The Design of INS under ITS Mechanical Properties for Vehicles in Mechanical Engineering
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Stability Control and Simulation of Wheel-Legged Mobile Robot in Mechanical Engineering
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Control Simulation for Two-Wheeled Self-Balancing Robot Linear Move Based on Active Disturbance Rejection Controller
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 644Research on Extracting Vehicle Fault Symptoms...

Research on Extracting Vehicle Fault Symptoms Based on Rough Sets Theory in Mechanical Engineering

Abstract:

This paper gives a brief introduction of rough sets theory. Taking the fault diagnosis of the diesel engine valve clearance for example, it discusses about the basic algorithms and methods to extract fault symptoms based on rough sets theory. The conclusion shows the possibility to develop intelligent fault diagnosis with the combined application of fuzzy theory and neural network theory.