基于免疫原理和油谱分析的无级变速器故障诊断

2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI:10.1109/BICTA.2010.5645100

Shuai Gao, Ying An, Yun-Shan Zhou, C. Song

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引用次数: 1

摘要

将人工免疫原理引入CVT故障诊断中，采用负选择方法，生成初始检测器集，再将其激励为成熟检测器集。利用成熟的检测装置对无级变速器的故障状态进行诊断。实验证明，该检测器组对无级变速器的故障诊断和故障识别是有效的。

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CVT fault diagnosis based on immune principle and oil spectrum analysis

By introducing the artificial immune principle into CVT fault diagnosis, using the negative selection method, generate the initial detectors set, then stimulate the set into mature detectors set. Utilizing the mature detectors set to diagnose CVT fault status. And it is proved that the detectors set are effective on CVT fault diagnosis and Fault identification.

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2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)

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