Vibration Analysis & Condition Monitoring for Rotating Machines: A Review

被引：1

作者：

Vishwakarma, Manish ^{[1
]}

Purohit, Rajesh ^{[1
]}

Harshlata, V. ^{[2
,3
]}

Rajput, P. ^{[1
]}

机构：

[1] MANIT, Dept Mech Engn, Bhopal 462051, India

[2] Ctr Remote Sensing, Bhopal 462051, India

[3] MANIT, GIS, Bhopal 462051, India

来源：

MATERIALS TODAY-PROCEEDINGS | 2017年 / 4卷 / 02期

关键词：

Time sphere; frequency domain; wavelet; ROLLING ELEMENT BEARINGS; FAULT-DIAGNOSIS; WAVELET; SIGNALS; DEFECTS; FAILURE;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The protection, consistency and effectiveness of rotating machinery are of a key apprehension in industries. Condition monitoring of a machines helps to retain the effectiveness and performance of a machine to its optimal level. The condition monitoring of a rotating machine is efficient, but often it is difficult and labour intensive task for maintenance crew to troubleshoot the machine. Vibration analysis is a method used for condition monitoring of the machine. Effective vibration signal extracting techniques have a critical part in diagnosing a rotating machine. Many vibration signal extracting techniques have been proposed during past some years. The paper presents review of some vibration feature extraction methods applied to different types of rotating machines. (C) 2017 Published by Elsevier Ltd.

引用

页码：2659 / 2664

页数：6

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