Amirkabir University of Technology AUT Journal of Electrical Engineering 2588-2910 50 1 2018 06 01 Application of Signal Processing Tools for Fault Diagnosis in Induction Motors-A Review-Part II 3 12 1971 10.22060/eej.2017.13220.5143 EN J. J. Faiz Center of Excellence on Applied Electromagnetic Systems, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran 0000-0003-0844-8523 A. M. Takbash Center of Excellence on Applied Electromagnetic Systems, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran E. Mazaheri-Tehrani Center of Excellence on Applied Electromagnetic Systems, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran Journal Article 2017 07 31 <span class="A1"><span>The use of efficient signal processing tools (SPTs) to extract proper indices for the fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The 2</span></span><span class="A2"><span>nd </span></span><span class="A1"><span>part of this two-part paper is, in turn, divided into two parts. Part two covers the signal processing techniques which can be applied to non-stationary conditions. In this paper, all utilized SPTs for non-stationary conditions have been employed in details for fault detection in IMs. Then, their competency and their drawbacks to extract indices in the transient state modes are investigated from different aspects. The considerable experimental results are given to certify the present discussion. Different kinds of faults including eccentricity, broken bar, and bearing faults as major internal faults in IMs are investigated.</span></span> https://eej.aut.ac.ir/article_1971_de73998802680548b916f1947ffbad76.pdf