A comparison of some condition monitoring techniques for the detection of defect in induction motor ball bearings

2007 ◽  
Vol 21 (1) ◽  
pp. 244-256 ◽  
Author(s):  
N. Tandon ◽  
G.S. Yadava ◽  
K.M. Ramakrishna
Keyword(s):  
Induction Motor ◽  
Condition Monitoring ◽  
Ball Bearings ◽  
Monitoring Techniques

A brief review of condition monitoring techniques for the induction motor

2019 ◽  
Vol 43 (4) ◽  
pp. 499-508
Author(s):  
Dileep Kumar Soother ◽  
Jawaid Daudpoto
Keyword(s):  
Fault Detection ◽  
Induction Motor ◽  
Condition Monitoring ◽  
State Of The Art ◽  
Low Cost ◽  
Cost Effective ◽  
Simple Construction ◽  
Monitoring Techniques ◽  
Effective Functioning ◽  
Production Processes

The induction motor is widely used in industry owing to its simple construction and low cost. In this paper, we present a state-of-the-art review of condition monitoring techniques for the induction motor. As the induction motor is used in many production processes, its uninterrupted and cost-effective functioning is of prime importance. Condition monitoring of the induction motor enables detection and prediction of different developing faults. Various techniques have been reported in literature for induction motor fault detection. In this paper, a brief review of these techniques is presented. Major induction motor faults and their sources are also described.

Detectivity: A combination of Hjorth’s parameters for condition monitoring of ball bearings

2022 ◽  
Vol 164 ◽  
pp. 108247
Author(s):  
Marco Cocconcelli ◽  
Matteo Strozzi ◽  
Jacopo Cavalaglio Camargo Molano ◽  
Riccardo Rubini
Keyword(s):  
Condition Monitoring ◽  
Ball Bearings

scholarly journals Fault Detection and Severity Identification of Ball Bearings by Online Condition Monitoring

2019 ◽  
Vol 66 (10) ◽  
pp. 8136-8147 ◽  
Author(s):  
Osama Abdeljaber ◽  
Sadok Sassi ◽  
Onur Avci ◽  
Serkan Kiranyaz ◽  
Abdelrahman Aly Ibrahim ◽  
...  
Keyword(s):  
Fault Detection ◽  
Condition Monitoring ◽  
Ball Bearings

scholarly journals Condition Monitoring of Blade in Turbomachinery: A Review

2014 ◽  
Vol 6 ◽  
pp. 210717 ◽  
Author(s):  
Ahmed M. Abdelrhman ◽  
Lim Meng Hee ◽  
M. S. Leong ◽  
Salah Al-Obaidi
Keyword(s):  
Condition Monitoring ◽  
Fatigue Failure ◽  
Signal Analysis ◽  
Health Condition ◽  
Diagnostic Methods ◽  
Monitoring Techniques ◽  
Analysis Methods

Blade faults and blade failures are ranked among the most frequent causes of failures in turbomachinery. This paper provides a review on the condition monitoring techniques and the most suitable signal analysis methods to detect and diagnose the health condition of blades in turbomachinery. In this paper, blade faults are categorised into five types in accordance with their nature and characteristics, namely, blade rubbing, blade fatigue failure, blade deformations (twisting, creeping, corrosion, and erosion), blade fouling, and loose blade. Reviews on characteristics and the specific diagnostic methods to detect each type of blade faults are also presented. This paper also aims to provide a reference in selecting the most suitable approaches to monitor the health condition of blades in turbomachinery.

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