Analysis of Outer Race Bearing Damage by Calculation of Sound Signal Frequency Based on the FFT Method

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY

International Journal of Engineering and Technology Innovation Pub Date : 2023-01-01 DOI:10.46604/ijeti.2023.9411

Iradiratu Diah Prahmana Karyatanti, Ananda Noersena, Firsyaldo Rizky Purnomo, Rafli Setiawan Zulkifli, Ardik Wijayanto

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引用次数: 0

Abstract

This study aims to identify the outer race bearing needed to protect an induction motor from severe damage. Faults are diagnosed using a non-invasive technique through the sound signal from an induction motor. The diagnosis aims to assess the damage to the bearings on the fan or main shaft. Moreover, this study discusses the type of damage, loading variations, and the diagnostic accuracy with the damage to the outer race bearing placed on the fan or main shaft rotor. The disturbance detection approach is used to analyze the sound spectrum to identify the harmonic components near the disturbance frequency. The damage frequency characteristics are also calculated to determine the sound spectrum peak value. The results show that the detection is slightly affected by the damage severity and the incorrect placement of the bearings on the rotor shaft. The lowest detection accuracy in testing the outer race bearing damage on the fan shaft is 91.66%. However, the accuracy percentage is 100% with the outer race bearing damage on the main shaft.

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基于FFT法计算声信号频率的外滚道轴承损伤分析

本研究旨在确定保护感应电机免受严重损坏所需的外圈轴承。故障诊断使用非侵入性技术通过声音信号从感应电机。诊断的目的是评估风机或主轴上轴承的损坏情况。此外，本文还讨论了风机或主轴转子外圈轴承损伤的类型、载荷变化以及诊断的准确性。采用干扰检测方法对声谱进行分析，识别干扰频率附近的谐波成分。计算损伤频率特性，确定声谱峰值。结果表明，检测受损坏严重程度和转子轴上轴承位置不正确的影响较小。对风机轴外滚道轴承损伤检测的最低检测精度为91.66%。然而，在主轴上的外滚道轴承损坏时，精度百分比为100%。

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

International Journal of Engineering and Technology Innovation ENGINEERING, MULTIDISCIPLINARY-

CiteScore

2.80

自引率

0.00%

发文量

审稿时长

12 weeks

期刊介绍： The IJETI journal focus on the field of engineering and technology Innovation. And it publishes original papers including but not limited to the following fields: Automation Engineering Civil Engineering Control Engineering Electric Engineering Electronic Engineering Green Technology Information Engineering Mechanical Engineering Material Engineering Mechatronics and Robotics Engineering Nanotechnology Optic Engineering Sport Science and Technology Innovation Management Other Engineering and Technology Related Topics.