Paper Title:
Application of Signal Processing for Motor Condition Monitoring Based on Filtered-Signals and Eliminated-Signals
  Abstract

This paper proposes new procedures of motor fault detection. The proposed methods are based on filtered-signals and eliminated-signals. Generally, the raw stator phase currents collected from the motors are firstly filtered in order to get rid of measurement noises. If the new signals are called “Filtered-Signals” and the signals eliminated from the raw stator phase currents are called “Eliminated-Signals”. The first proposed procedure is to detect the motor faults by spectrum of PSD slope from the filtered-signals. The second proposed procedure is to detect the motor faults by spectrum of the eliminated-signals. The both methods are tested on 3 different motor conditions: healthy, stator fault, and rotor fault motor at full load condition. The experiments show that the both methods can differentiate conditions clearly and they also can indicate the levels of fault severity. Thus, it can be effective when the both methods are applied simultaneously to analyze the faults

  Info
Periodical
Advanced Materials Research (Volumes 378-379)
Chapter
Chapter 5: Electronic Materials and Applications
Edited by
Brendan Gan, Yu Gan and Y. Yu
Pages
557-560
DOI
10.4028/www.scientific.net/AMR.378-379.557
Citation
J. Treetrong, "Application of Signal Processing for Motor Condition Monitoring Based on Filtered-Signals and Eliminated-Signals", Advanced Materials Research, Vols. 378-379, pp. 557-560, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Hua Qing Wang, Yong Wei Guo, Jin Ji Gao, Feng Wang
Vibration, Noise Analysis and Control
Abstract:Bearing faults signal is very weak under a low rotating speed, and therefore fault diagnosis for bearings under a low rotating speed, is more...
2006
Authors: Juggrapong Treetrong
Chapter 7: Dynamics of Mechanisms and Systems
Abstract:This paper proposes a new method of motor fault detection. ML Estimation is proposed as a key technique for signal processing. The stator...
1958
Authors: Shu’e Li, Feng Lv, Chao Fu
Chapter 7: Dynamics of Mechanisms and Systems
Abstract:Wavelet analysis is a kind of time-frequency analysis method, It is particularly effective to analyze signal singularity, singular point...
2127
Authors: Zeng Qiang Wang, Hua Jie Zhang, Xu Hui Zhang, Xian Gang Cao, Hong Wei Ma
Chapter 3: Techniques for Measurement, Detection and Monitoring
Abstract:Exploring a proper wavelet base function to characterize fault information of mechanical equipment is a big problem when wavelet analysis is...
515
Authors: Yong Xin Li, Ya Fei Wang, Xing Lai Ge, Yang Lu
Chapter 10: CAD / CAM / CAE and Applications
Abstract:The calculation model of motor operating on asymmetric rotor was defined taking a traction squirrel-cage induction motor in Electric Multiple...
841