A sliding window feature extraction method for rotating machinery based on the lifting scheme
A sliding window feature extraction method for rotating machinery based on the lifting scheme
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DOI：
10.1016/j.jsv.2006.07.037
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发表时间：
2007-02-06
影响因子：
4.7
通讯作者：
Jiang Hongkai
中科院分区：
文献类型：
--
作者：
Duan Chendong;He Zhengjia;Jiang Hongkai
为了对旋转机械早期故障进行诊断和预测，提出了一种基于提升格式的滑动窗口特征提取方法，用于从原始信号中提取瞬态冲击信号。首先，利用提升格式对信号进行分解，构造具有冲击特性的小波。然后根据给定旋转机械的转速周期设计滑动窗口，对详细信号进行处理。通过提取这些窗口的模极大值，故障特征及其在原始信号中的位置被揭示。利用所提出的方法成功地检测出了一个由轴不对中、质量不平衡引起的早期碰撞故障和一个轴瓦断裂故障。(c)2006爱思唯尔有限公司保留所有权利。
In order to diagnose and predict incipient fault of rotating machinery, a new sliding window feature extraction method based on the lifting scheme is proposed for extracting transient impacts from original signals. Firstly, a wavelet with impact characteristics is constructed by using the lifting scheme to decompose signals. Then a sliding window designed according to the revolution cycle of given rotating machinery is applied to process detail signals. By extracting modulus maxima from these windows, fault features and their locations in the original signals are revealed. An incipient impact fault caused by axis misalignment, and mass imbalance and a bush broken fault have been successfully detected by using the proposed approach. (c) 2006 Elsevier Ltd. All rights reserved.