TY - JOUR
T1 - Analysis of bearing faulty cage using non-intrusive condition monitoring techniques
AU - Irfan, Muhammad
AU - Alwadie, A.
AU - Saad, Nordin
AU - Sheikh, Muhammad Aman
N1 - Publisher Copyright:
© 2019, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.
PY - 2019/7
Y1 - 2019/7
N2 - — The cage is an important element of the bearing. The cage is used to support the bearing balls and it maintains the fix distance between rotating balls. The defected cage could create defects in the balls and race ways of the bearing. It could lead to premature failure of the bearing which causes machine down time, production loss and huge maintenance cost. Traditionally, periodic checks of the bearing health are performed in industry but they did not avoid the bearing cage failures. Thus, it is essential to develop some real-time health monitoring system to analyze the status of bearing cage. Recent research developments on the bearing fault diagnosis have that non-intrusive stator current and power analysis techniques are most economical and simple as compared to intrusive vibration analysis technique. However, a limited research has been conducted to check and confirm the effectivity of stator current and power analysis techniques for the diagnosis of cage faults. Thus, the aim of this paper is to analyze cage faults using non-intrusive stator current and power analysis. The comparison of both techniques have been performed experimentally and it has been concluded that power analysis is a most suitable technique to diagnose cage faults.
AB - — The cage is an important element of the bearing. The cage is used to support the bearing balls and it maintains the fix distance between rotating balls. The defected cage could create defects in the balls and race ways of the bearing. It could lead to premature failure of the bearing which causes machine down time, production loss and huge maintenance cost. Traditionally, periodic checks of the bearing health are performed in industry but they did not avoid the bearing cage failures. Thus, it is essential to develop some real-time health monitoring system to analyze the status of bearing cage. Recent research developments on the bearing fault diagnosis have that non-intrusive stator current and power analysis techniques are most economical and simple as compared to intrusive vibration analysis technique. However, a limited research has been conducted to check and confirm the effectivity of stator current and power analysis techniques for the diagnosis of cage faults. Thus, the aim of this paper is to analyze cage faults using non-intrusive stator current and power analysis. The comparison of both techniques have been performed experimentally and it has been concluded that power analysis is a most suitable technique to diagnose cage faults.
KW - Cage Faults
KW - Harmonics Analysis
KW - LabVIEW based Signal Processing
KW - Non-Intrusive Condition Monitoring
UR - http://www.scopus.com/inward/record.url?scp=85068777151&partnerID=8YFLogxK
U2 - 10.24084/repqj17.207
DO - 10.24084/repqj17.207
M3 - Article
AN - SCOPUS:85068777151
SN - 2172-038X
VL - 17
SP - 20
EP - 25
JO - Renewable Energy and Power Quality Journal
JF - Renewable Energy and Power Quality Journal
ER -