Precision fault prediction in motor bearings with feature selection and deep learning
Journal Title: International Journal of Experimental Research and Review - Year 2023, Vol 32, Issue 3
Abstract
In the disciplines of industrial machinery, mechanical engineering is beneficial to recognize motor performance for motors with HP power, torque transducer, dynamometer, and control electronics. The motivation is to address the need for more accurate and efficient fault prediction in machinery to prevent breakdowns, reduce maintenance costs, and improve overall reliability. In this work, deep learning classifiers used to classify ball defect inner race fault, outer race fault and normal motor performance in testing. With the aid of three distinct classifiers CNN, FFNN, and RBN; these suggested relative characteristics are assessed. In comparison to other current algorithms, the suggested methodology for classifying motor performance achieved maximum accuracy in each CNN test at 95.4% and 97.7%. The correlation and chi-square algorithms are used to find out the added characteristics and rank of features. The correlation technique provides relations between attributes, and the chi-square offers the optimal balance between precision and feature space. We discovered that the performance is enhanced overall by relative power characteristics. The suggested models might offer rapid responses with less complexity.
Authors and Affiliations
Deep Prakash Singh, Sandip Kumar Singh
Keywords
Related Articles
- EP ID EP720685
- DOI 10.52756/ijerr.2023.v32.035
- Views 47
- Downloads 0
Educators’ Perceptions of the Use of Virtual Reality in the Classroom: Psychometric Validation of Scale in Indian Context
With ample evidence supporting the benefits of using Virtual Reality (VR) in education, teachers' perceptions of such educational innovations decide whether they are accepted or rejected and, if accepted, how successfull...
First record of tail bifurcation in Tokey Gecko (Gekko gecko) from the Kaziranga, Assam, India : a field observation
The Tokay Gecko (Gekko gecko) is the second largest surviving Gecko species and are distributed across much of South-East Asia, Southern China and Northeastern India and Nepal. In Kaziranga landscape Tokay Gecko are fair...
A two-arm open labeled randomized controlled prospective clinical study to assess the efficacy of ‘Kumbhak Kriya-selected from Kumbhak Paddhati Text’ in the management of anxiety neurosis of working women with ayurvedic perspective
The mild to severe stress of juggling work and family that eventually develops into Anxiety Neurosis is something every working woman has to deal with. The mental and physical effects of prolonged stress are known as Ras...
Efficacy of Dry Needling in Enhancing Hand Function and Reducing Spasticity in MCA Stroke Patients: A Prospective Case Report
Stroke, particularly involving the middle cerebral artery (MCA), often leads to persistent disability, significantly impairing hand function and inducing severe spasticity in the forearm flexors due to complex motor path...
Impact of Pulmonary Rehabilitation on Fatigue and Quality of Life in Patients of Interstitial Lung Disease
Individuals with interstitial lung diseases (ILDs) often experience debilitating fatigue, impacting their quality of life. Pulmonary rehabilitation (PR), comprising tailored exercise, education, and behaviour change, ai...