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Analysis of Bearing
Faulty Cage using Non-Intrusive Condition Monitoring Techniques
Muhammad
Irfan, Alwadie. A, Nordin Saad, Muhammad Aman Sheikh
2019/07/15
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Abstract
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.
| Published in: Renewable Energy
& Power Quality Journal (RE&PQJ, Nº. 17) |
| Pages: 20-25 |
Date of Publication: 2019/07/15 |
| ISSN: 2172-038X |
Date of Current Version:2019/04/10 |
| REF: 207-19 |
Issue Date: July 2019 |
| DOI:10.24084/repqj17.207 |
Publisher: EA4EPQ |
Authors and affiliations
Muhammad Irfan1, Alwadie. A2, Nordin Saad3, Muhammad
Aman Sheikh4
1,2. College of Engineering, Electrical Engineering Department, Najran
University. King Abdulaziz Road, Najran, Saudi Arabia
3,4. Electrical and Electronic Engineering Department, Universiti Teknologi
PETRONAS. Bandar Seri Iskandar, Tronoh, Malaysia
Key words
Cage Faults, Non-Intrusive Condition Monitoring, Harmonics
Analysis, LabVIEW based Signal Processing.
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