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A Study on Modeling and Fault Diagnosis of Suspension Systems Using Neural Network  

이정호 (한국과학기술원 기계공학과)
박기홍 (국민대학교 자동차공학대학원)
허승진 (국민대학교 자동차공학대학원)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.11, no.1, 2003 , pp. 95-103 More about this Journal
Abstract
Driving safety of a vehicle is largely influenced by the damper and the tire. Developed in this research is a fault diagnosis algorithm for the two components so that the driver can be promptly informed when fault occurs in one or both of them. To this end, the damper and the tire were modeled using the neural network from their experimental data, and fault diagnosis was made using frequency responses of the damping force and the dynamic wheel force. The algorithm was tested via experiments, and it demonstrated successful diagnostic performance under various driving conditions.
Keywords
Neural network; Empirical dynamics modeling; Fault diagnosis; Suspension system;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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