基于FastICA的阶次倒谱分析在齿轮箱故障诊断中的应用研究
田昊1，尚利民1，康小勇1，贾云非1，胡尚夫2
（1.军械工程学院 火炮工程系，河北 石家庄 050003；2.武汉军械士官学校 教勤团，湖北 武汉 430075）
摘要：声测法作为一种非接触测量，应用于齿轮箱故障诊断时有着极大优势，但由于声信号易受到环境干扰从而影响诊断精度。将FastICA与阶次倒谱相结合，提出了一种基于FastICA的阶次倒谱方法。首先对瞬态声信号运用FastICA算法进行分离处理，分离出包含故障信息的有用源信号，然后对估计的源信号进行角域重采样，得到角域伪稳态信号，再通过倒谱分析得到基于FastICA的阶次倒谱，最终可得到故障的特征参量。应用于齿轮箱瞬态过程中的故障声信号分析，增强了信噪比，找到了故障特征，提高了齿轮箱声测故障诊断的精度。
关键词：FastICA；阶次分析；倒谱分析；齿轮箱；故障诊断
中图分类号：TH165+.3 文献标志码：A doi：10.3969/j.issn.1006-0316.2016.12.013
文章编号：1006－0316 (2016) 12－0065－05
Study on Gearbox Fault Diagnosis Using Order Cepstrum Analysis Based on FastICA
TIAN Hao1，SHANG Limin1，KANG Xiaoyong1，JIA Yunfei1，HU Shangfu2
( 1.Department of Guns Engineering, Ordnance Engineering College, Shijiazhuang 050003, China;
2.Teaching and Training Service Group, Wuhan Ordnance N.C.O Academy of PLA, Wuhan 430075, China )
2.Teaching and Training Service Group, Wuhan Ordnance N.C.O Academy of PLA, Wuhan 430075, China )
Abstract：As a non-contact measurement technique, acoustic measure has great advantage when applied in gearbox fault diagnosis, but it can be interfered by environment easily, thus affect the diagnosis accuracy. This paper combined the FastICA with the order cepstrum analysis, proposed the order cepstrum method based on FastICA, Firstly, the transient acoustic signal is separated and processed by FastICA algorithm, separate the useful source signal containing the fault information, then resampling the estimated source signal in the angular domain, obtain angular domain pseudo-stationary signals, get order cepstrum based on FastICA through cepstrum analysis, thus obtained fault characteristic parameters. Applied in the gearbox fault acoustic signal analysis, enhanced the signal-to-noise ratio, found the fault character, and thus improved the accuracy of gearbox fault diagnosis finally.
Key words：FastICA；order analysis；order cepstrum analysis；gearbox；fault diagnosis
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收稿日期：2016－07－12
作者简介：田昊（1981－），男，河北石家庄人，博士，讲师，主要研究方向为机械故障诊断与信号处理。
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