A denoising algorithm based on ARIMA and competitive K-SVD for the diagnosis of rolling bearing faults

IF 3.4 2区物理与天体物理 Q1 ACOUSTICS

Applied Acoustics Pub Date : 2024-09-27 DOI:10.1016/j.apacoust.2024.110309

Zong Meng, Xiangyu Qin, Jingbo Liu, Jimeng Li, Fenjie Fan

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引用次数: 0

Abstract

Rolling bearings are extensively employed in industrial production as essential support components for rotating machinery. However, under conditions of high load and harsh operation, bearings are highly susceptible to failure. The weak vibration signals associated with these failures may be obscured by complex harmonic interference and strong noise, posing challenges for the accurate diagnosis of rolling bearing failures. In this paper, an autoregressive integrated moving average and competitive K-singular value decomposition (ARIMA-CK-SVD) algorithm is proposed to realize effective extraction of faulty pulse signals in a strong interference environment. First, the ARIMA model is used to preprocess the original signal to eliminate the interference of harmonic components. Second, a method is proposed for the adaptive selection of parameters in the ARIMA model, with consideration given to the characteristics of K-SVD. Subsequently, a competitive mechanism is introduced during the dictionary update phase of the algorithm to adjust the pattern of atomic updates and eliminate noise atoms. Finally, the effectiveness of the ARIMA-CK-SVD has been validated through simulation experiments and engineering tests.

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基于 ARIMA 和竞争性 K-SVD 的去噪算法用于滚动轴承故障诊断

滚动轴承作为旋转机械的重要支撑部件被广泛应用于工业生产中。然而，在高负荷和恶劣的运行条件下，轴承极易发生故障。与这些故障相关的微弱振动信号可能会被复杂的谐波干扰和强噪声所掩盖，这给滚动轴承故障的精确诊断带来了挑战。本文提出了一种自回归积分移动平均和竞争性 K-singular 值分解（ARIMA-CK-SVD）算法，以实现在强干扰环境下有效提取故障脉冲信号。首先，利用 ARIMA 模型对原始信号进行预处理，以消除谐波成分的干扰。其次，考虑到 K-SVD 的特点，提出了 ARIMA 模型中参数的自适应选择方法。随后，在算法的字典更新阶段引入了竞争机制，以调整原子更新模式并消除噪声原子。最后，通过模拟实验和工程测试验证了 ARIMA-CK-SVD 的有效性。

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

Applied Acoustics 物理-声学

CiteScore

7.40

自引率

11.80%

发文量

618

审稿时长

7.5 months

期刊介绍： Since its launch in 1968, Applied Acoustics has been publishing high quality research papers providing state-of-the-art coverage of research findings for engineers and scientists involved in applications of acoustics in the widest sense. Applied Acoustics looks not only at recent developments in the understanding of acoustics but also at ways of exploiting that understanding. The Journal aims to encourage the exchange of practical experience through publication and in so doing creates a fund of technological information that can be used for solving related problems. The presentation of information in graphical or tabular form is especially encouraged. If a report of a mathematical development is a necessary part of a paper it is important to ensure that it is there only as an integral part of a practical solution to a problem and is supported by data. Applied Acoustics encourages the exchange of practical experience in the following ways: • Complete Papers • Short Technical Notes • Review Articles; and thereby provides a wealth of technological information that can be used to solve related problems. Manuscripts that address all fields of applications of acoustics ranging from medicine and NDT to the environment and buildings are welcome.