Detection of defects in a bearing by analysis of vibration signals

Q3 Engineering Diagnostyka Pub Date : 2023-03-21 DOI:10.29354/diag/162230
Karim Bouaouiche, Yamima Menasria, D. Khalfa
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引用次数: 2

Abstract

This work presents the analysis of vibration signals by an approach consists of several mathematical tools more elaborate such as the Hilbert transform, kurtogram, which allows the detection of vibration defects in a simple and accurate way. The steps or methods inserted in the process one complementary to the other as scalar indicators generally used in monitoring to follow the evolution of the functioning of a machine when an abnormal functioning it must make a diagnosis to detect the failing element through the use of a process. The determination of the defective organs at an optimal time is a very important operation in the industrial maintenance, which keeps the equipment in a good condition and ensures the assiduity of work. To see the effectiveness of fault detection by the proposed approach by analyzing the real vibration signals of a bearing type 6025-SKF available on the Case Western Reserve University platform
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通过分析振动信号来检测轴承缺陷
这项工作通过一种由几种更精细的数学工具组成的方法来分析振动信号,如希尔伯特变换、kurtogram,它可以以简单准确的方式检测振动缺陷。插入过程中的步骤或方法,一个作为标量指标相互补充,通常用于监测,以跟踪机器功能的演变。当出现异常功能时,必须进行诊断,通过使用过程来检测故障元件。在工业维修中,在最佳时间确定缺陷器官是一项非常重要的操作,它可以保持设备的良好状态,确保工作的顺利进行。通过分析凯斯西储大学平台上可用的6025-SKF型轴承的实际振动信号,了解所提出的方法检测故障的有效性
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来源期刊
Diagnostyka
Diagnostyka Engineering-Mechanical Engineering
CiteScore
2.20
自引率
0.00%
发文量
41
期刊介绍: Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.
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