Transactions of the Korean Society of Automotive Engineers (한국자동차공학회논문집)

The Korean Society of Automotive Engineers (한국자동차공학회)
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A Study on Modeling and Fault Diagnosis of Suspension Systems Using Neural Network

신경망을 이용한 현가시스템의 모델링 및 고장 진단에 관한 연구

  • 이정호 (한국과학기술원 기계공학과) ;
  • 박기홍 (국민대학교 자동차공학대학원) ;
  • 허승진 (국민대학교 자동차공학대학원)
  • Published : 2003.01.01
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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.

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References

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