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在MATLAB中使用香农熵方法通过信号处理来识别汽车工业应用中圆锥滚子轴承(NBC_30205)的局部缺陷并估计故障尺寸

Identification of localized defects and fault size estimation of taper roller bearing (NBC_30205) with signal processing using the Shannon entropy method in MATLAB for automobile industries applications.

作者信息

Kumar Rajeev, Singh Jujhar, Sharma Shubham, Li Changhe, Królczyk Grzegorz, Eldin Elsayed Mohamed Tag, Wojciechowski Szymon

机构信息

School of Mechanical Engineering, Lovely Professional University, Phagwara-144411, India.

Department of Mechanical Engineering, IK Gujral Punjab Technical University, Kapurthala, India.

出版信息

Heliyon. 2022 Dec 5;8(12):e12053. doi: 10.1016/j.heliyon.2022.e12053. eCollection 2022 Dec.

Abstract

Rotating machine is a common class of machinery in most of the industry and the main root cause of machinery failure is a faulty bearing. Bearings are most widely used in various types of machine elements ranging from small to heavy machinery and the common cause of machinery failure is a fault in bearings. Bearing faults can be external or internal which mainly depends on different operating conditions and these faults may cause severe damage to rotating components in machinery. Signal processing methods have traditionally been used to diagnose faults in tapered roller element bearings. A wavelet transform is the most common and effective tool for understanding and analyzing the vibration signal of bearings as it is responded quickly and observed sudden changes along with the transient impulses in the signal caused by faults in the different parts of bearing elements. In this article, localized fault's position and size on the outer ring of tapered roller bearing were investigated. Three different real values wavelets (DB2, Meyer, and Morlet) are analyzed as per Simple Sensitivity index criteria. Finally, experiments are carried out with four sets of bearing having fault on outer racing of bearing, and for the estimation of fault size, the setup was misaligned at ranging (0.00mm-1.50 mm) with a uniform deviation of 0.50 mm for each experiment. Shannon entropy was calculated for the identification of localized size of the faults with wavelets nomenclature, the result of DB2, Morlet, and Meyer wavelets at high-frequency zone are presented.The scanning electron microscope (SEM) has been taken for the estimation of size of the fault. The proposed method has been successfully implemented for measuring defect width and size. Also, it has been observed that with increased magnification level from 0.00 mm to 0.50 mm, the crack width of the faulty bearing was increased by 0.813 mm, and whenever on further increase in magnification level of 0.50, 1.00 mm and 1.50 mm the crack width of the faulty bearing was increased by 2.568 mm and 3.856 respectively.

摘要

旋转机械是大多数行业中常见的一类机械,机械故障的主要根源是轴承故障。轴承在从小型到重型机械的各类机械元件中应用最为广泛,机械故障的常见原因是轴承故障。轴承故障可能是外部的或内部的,这主要取决于不同的运行条件,这些故障可能会对机械中的旋转部件造成严重损坏。传统上,信号处理方法一直用于诊断圆锥滚子轴承的故障。小波变换是理解和分析轴承振动信号最常用且有效的工具,因为它响应迅速,能够观察到信号中由轴承元件不同部位故障引起的瞬态脉冲以及突然变化。在本文中,研究了圆锥滚子轴承外圈局部故障的位置和尺寸。根据简单灵敏度指标标准分析了三种不同的实值小波(DB2、Meyer和Morlet)。最后,对四组外圈有故障的轴承进行了实验,为了估计故障尺寸,实验装置在0.00mm至1.50mm范围内错位,每次实验的均匀偏差为0.50mm。计算了香农熵以识别带有小波命名法的故障局部尺寸,给出了DB2、Morlet和Meyer小波在高频区的结果。使用扫描电子显微镜(SEM)来估计故障尺寸。所提出的方法已成功用于测量缺陷宽度和尺寸。此外,还观察到,随着放大倍数从0.00mm增加到0.50mm,故障轴承的裂纹宽度增加了0.813mm,而当放大倍数进一步增加到0.50mm、1.00mm和1.50mm时,故障轴承的裂纹宽度分别增加了2.568mm和3.856mm。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e733/9758410/f621bf8d48fd/gr1.jpg

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