Title :
Fault Detection of Linear Bearings in Brushless AC Linear Motors by Vibration Analysis
Author :
Bianchini, Claudio ; Immovilli, Fabio ; Cocconcelli, Marco ; Rubini, Riccardo ; Bellini, Alberto
Author_Institution :
Dipt. di Sci. e Metodi dell´´Ing., Univ. of Modena & Reggio Emilia, Reggio Emilia, Italy
fDate :
5/1/2011 12:00:00 AM
Abstract :
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.
Keywords :
AC motors; acoustic signal processing; brushless machines; contamination; fault diagnosis; linear motors; machine bearings; vibrations; brushless AC linear motors; electric linear motors; electric machines; environmental contamination; fault detection; industrial automation; linear roller bearings; radial rotating bearing; trajectory generation; vibration analysis; Electric machines; Fault detection; Rails; Rolling bearings; Time frequency analysis; Transforms; Vibrations; Bearings; fault detection; linear electric machines; rough surface; signal processing; spectral analysis; wear;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2010.2098354