徐振黔. 变负载下的特征提取与基于CHMM算法的齿轮故障诊断[J]. 失效分析与预防, 2014, 9(2): 61-66. DOI: 10.3969/j.issn.1673-6214.2014.02.001
    引用本文: 徐振黔. 变负载下的特征提取与基于CHMM算法的齿轮故障诊断[J]. 失效分析与预防, 2014, 9(2): 61-66. DOI: 10.3969/j.issn.1673-6214.2014.02.001
    shu
    XU Zhen-qian. Feature Extraction under Varying Load and Fault Diagnosis Based on CHMM[J]. Failure Analysis and Prevention, 2014, 9(2): 61-66. DOI: 10.3969/j.issn.1673-6214.2014.02.001
    Citation: XU Zhen-qian. Feature Extraction under Varying Load and Fault Diagnosis Based on CHMM[J]. Failure Analysis and Prevention, 2014, 9(2): 61-66. DOI: 10.3969/j.issn.1673-6214.2014.02.001
    shu

    变负载下的特征提取与基于CHMM算法的齿轮故障诊断

    Feature Extraction under Varying Load and Fault Diagnosis Based on CHMM

      摘要
    • 摘要: 为了对变负载工况下齿轮故障特征进行有效的提取，提出了基于ARX模型的特征提取方法，并用利用连续隐Markov模型（CHMM）对齿轮的故障进行了识别。实例分析中，对正弦性变化负载的齿轮箱进行了全寿命实验，采用基于ARX模型的方法提取特征，输入到CHMM对故障进行了准确的识别，验证了该方法的有效性。

       

      Abstract: In order to extract gear fault feature under the condition of various load effectively, a novel feature extraction method based on ARX model was proposed and was identified successfully by using continuous hidden Markov model (CHMM). The performance of the feature extraction method is validated by using full lifetime data obtained from the gearbox operating from a new condition to a breakdown under varying load.

       

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