Fault Detection of Linear Bearings in Brushless AC Linear Motors by Vibration Analysis

被引：100

作者：

Bianchini, Claudio ^{[1
]}

Immovilli, Fabio ^{[1
]}

Cocconcelli, Marco ^{[1
]}

Rubini, Riccardo ^{[1
]}

Bellini, Alberto ^{[1
]}

机构：

[1] Univ Modena & Reggio Emilia, Dipartimento Sci & Metodi Ingn, I-42100 Reggio Emilia, Italy

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2011年 / 58卷 / 05期

关键词：

Bearings; fault detection; linear electric machines; rough surface; signal processing; spectral analysis; wear; TRANSFORM; DIAGNOSTICS; AMPLITUDE; FAILURE; HILBERT;

D O I：

10.1109/TIE.2010.2098354

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Electric linear motors are spreading in industrial automation because they allow for direct drive applications with very high dynamic performances, high reliability, and high flexibility in trajectory generation. The moving part of the motor is linked to the fixed part by means of linear bearings. As in many other electric machines, bearings represent one of the most vulnerable parts because they are prone to wear and contamination. In the case of linear roller bearings, this issue is even more critical as the rail cannot be easily fully enclosed and protected from environmental contamination, unlike the radial rotating bearing counterpart. This paper presents a diagnostic method based on vibration analysis to identify which signature is related to a specific fault.

引用

页码：1684 / 1694

页数：11

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