Dear Madhurjya Dev,

According to recent survey, rotating components can experience a number of failures during operation, where around 50% of failures are related to bearings, 10% are relevant to rotors, and 12% are related to other faults including unbalance in the induction motor. During my long study and research in this arena, I find bearing is the single most competent, which is account for maximum failure.

So, you may start with bearing fault detection and diagnosis (FDD). If you talk about approach, data-driven approach is the best alternative of model-based approach, specifically for large scale industries, due to the rapid development of data mining, data acquisition technique, and machine learning technique since last several decades.

I may share you recent articles relevant to your request.

Article Time–frequency envelope analysis-based sub-band selection an...

Article Reliable Multiple Combined Fault Diagnosis of Bearings Using...

Article A reliable technique for remaining useful life estimation of...

Thanks,

M M Manjurul Islam

University of Ulsan, South Korea

Dear Manjurul,

Thank you.

Dear Madhurjya,

Your first step must be to review the literature. I expect you will find gearbox and bearings to be components that cause a lot of issues.

A few years. Ago my colleague Bill and I undertook to demonstrate a model based approach to detecting bearing/gearbox issues. It was quite an unusual,, but simple approach. Have a look and then, let us know how you got on with ths research.

Article A model-based approach to wind turbine condition monitoring ...

Best wishes

Roger

Dear Roger,

Thank you for sharing your research. I will follow the lead.

Madhurjya

Here is the link of my article ,Hope is helpful :

Article SVM Multi-Classification of Induction Machine's bearings def...