Fault diagnosis of ball bearings using machine learning methods

PK Kankar, SC Sharma, SP Harsha - Expert Systems with applications, 2011 - Elsevier
Ball bearings faults are one of the main causes of breakdown of rotating machines. Thus,
detection and diagnosis of mechanical faults in ball bearings is very crucial for the reliable …

Fault diagnosis and investigation techniques for induction motor

A Almounajjed, AK Sahoo, MK Kumar… - International Journal of …, 2022 - Taylor & Francis
Induction motors are the most popular machines in industrial drive and power conversion
systems. This popularity makes the recent industries impose reliable and continuous work …

An Investigation of Fault Detection Techniques in Rolling Element Bearing

D Sahu, RK Dewangan, SPS Matharu - Journal of Vibration Engineering & …, 2024 - Springer
Purpose Every industry needs an effective predictive strategy to optimise resource
management and enhance plant economy by minimising wasteful expenditures and …

Vibration modeling of a rigid rotor supported on the lubricated angular contact ball bearings considering six degrees of freedom and waviness on balls and races

CK Babu, N Tandon, RK Pandey - 2012 - asmedigitalcollection.asme.org
Nonlinear vibration analysis of angular contact ball bearings supporting a rigid rotor is
presented herein considering the frictional moments (load dependent and load independent …

[HTML][HTML] Non-contact sensor placement strategy for condition monitoring of rotating machine-elements

D Goyal, BS Pabla, SS Dhami - Engineering Science and Technology, an …, 2019 - Elsevier
Careful selection and location of sensors are of key importance in the construction and
implementation of an effective condition monitoring system. There is a continual call for …

Vibration modelling of nonuniform surface waviness in a lubricated roller bearing

J Liu, Y Shao - Journal of Vibration and Control, 2017 - journals.sagepub.com
Surface waviness is one important source of vibrations in a roller bearing. When the surface
waviness occurs on the surface of the inner or outer race of a roller bearing, a time-varying …

Investigation techniques for rolling bearing fault diagnosis using machine learning algorithms

A Almounajjed, AK Sahoo, MK Kumar… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Fault's diagnosis prior to its existence and the entire shut-down is critically important for the
industry. Diagnosing the faults based on condition monitoring methods and artificial …

Models and measures for the diagnosis of electric power equipment

VP Babak, SV Babak, VS Eremenko, YV Kuts… - Models and Measures in …, 2021 - Springer
Examples of building models and measures in monitoring and diagnostics of electric power
objects are given. It is known that accuracy and reliability of results of diagnostics of …

Vibration-based fault diagnosis of a rotor bearing system using artificial neural network and support vector machine

PK Kankar, SC Sharma… - International Journal of …, 2012 - inderscienceonline.com
This paper presents the vibration analysis of the healthy and cracked rotor supported on
various faulty bearings. In rotating machines, one of the main causes of breakdown is faults …

Dynamic response analysis of unbalanced rotor-bearing system with internal radial clearance

VR Patil, PV Jadhav - SN Applied Sciences, 2020 - Springer
This paper presents a dynamic model to predict the rotor-bearing system's vibration
characteristics using Dimensional Analysis (DA). A small increment in rotor unbalance, and …