An Improved Lempel–Ziv Complexity for Bearing Fault Diagnosis Based on the Time–Frequency Encoding Method

IF 5.6 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-04-08 DOI:10.1109/TIM.2025.3558777

Jiancheng Yin;Wentao Sui;Xuye Zhuang;Yunlong Sheng;Yongbo Li

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引用次数: 0

Abstract

Lempel-Ziv complexity (LZC) is extensively utilized in the identification of bearing faults. The present enhancement in LZC encoding relies on time-domain information. When the magnitude of fluctuation is minimal, LZC utilizing time-domain information encoding is unable to properly differentiate signals with varying frequency components. Thus, an improved LZC based on the time-frequency encoding method is proposed. Initially, the time-domain encoding is obtained according to the quartile of the amplitude. Then, the frequency-domain encoding is calculated based on the statistic value at each frequency along the frequency direction of the Wigner Trispectrum. Finally, the ultimate encoding is derived from both time-domain encoding and frequency-domain encoding. The proposed method is validated through the actual data of bearing. The time-frequency encoding technique can significantly augment the capacity of encoding sequences to depict signal variations and boost the LZC representation of signal complexity.

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基于时频编码的轴承故障诊断改进Lempel-Ziv复杂度

Lempel-Ziv 复杂性（LZC）被广泛用于轴承故障的识别。目前 LZC 编码的改进依赖于时域信息。当波动幅度很小时，利用时域信息编码的 LZC 无法正确区分频率成分变化的信号。因此，我们提出了一种基于时频编码方法的改进型 LZC。首先，根据振幅的四分位数获得时域编码。然后，根据 Wigner Trispectrum 频率方向上每个频率的统计值计算频域编码。最后，根据时域编码和频域编码得出最终编码。通过轴承的实际数据验证了所提出的方法。时频编码技术可以显著增强编码序列描述信号变化的能力，并提高 LZC 表示信号的复杂性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Instrumentation and Measurement 工程技术-工程：电子与电气

CiteScore

9.00

自引率

23.20%

发文量

1294

审稿时长

3.9 months

期刊介绍： Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.