Bearing condition monitoring based on shock pulse method and improved redundant lifting scheme
Bearing condition monitoring based on shock pulse method and improved redundant lifting scheme
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DOI：
10.1016/j.matcom.2007.12.004
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发表时间：
2008-12-01
影响因子：
4.6
通讯作者：
Chen Xuefeng
中科院分区：
文献类型：
--
作者：
Li Zhen;He Zhengjia;Chen Xuefeng
由于滚动轴承的广泛应用，有必要对其健康状况进行有效监测。冲击脉冲法（SPM）作为轴承状态监测的一种定量方法，得到了广泛的应用。然而，通过SPM中的直接解调可能错误地估计指示轴承状况的冲击值。为了克服这一缺陷，提出了一种基于改进冗余提升格式（IRLS）的新方法。对经典的冗余提升格式进行了改进，增加了归一化因子，避免了分解结果的误差传播，并将IRLS应用于轴承振动信号的预处理。然后，分解结果中的细节信号的最大归一化冲击值被用作轴承状态的度量。通过对不同条件下的仿真信号和实际轴承振动信号的分析，验证了该方法的有效性。结果表明，该方法对轴承状态监测是有效的。(C)2008年IMACS。Elsevier B.V.出版，保留所有权利。
Due to the widespread application of rolling element bearings, it is necessary to effectively monitor their health status. The shock pulse method (SPM) has been widely used as a quantitative method for bearing condition monitoring. However, the shock value indicating the bearing condition may be mistakenly estimated by direct demodulation in the SPM. To overcome this deficiency, a new approach based on improved redundant lifting scheme (IRLS) is proposed. The classical redundant lifting scheme is improved by adding the normalization factors to avoid error propagation of decomposition results, and the IRLS is applied to preprocess the bearing vibration signals. Then the maximum normalized shock value of detail signals in decomposition results is used as a measure of the bearing condition. The effectiveness of the proposed method is demonstrated by applying it to both simulated signals and practical bearing vibration signals under different conditions. The results show that the proposed method is effective for bearing condition monitoring. (C) 2008 IMACS. Published by Elsevier B.V. All rights reserved.