Skip to main content
The Institution of Engineering and Technology iet.tv
Site name
  • Videos
  • Channels
  • Events
  • Series

Access and Account

Access your personal account

Log in to see your favourites, lists and progress.

IET Login

Access via institution

Not currently connected to any institutions

Connect via

Access Code

Redeem Access Code
Log in to redeem access code

This video isn’t available to you right now

Login to check your access and watch the full session.
To redeem an access code, first log in.

Login
  1. Videos
  2. Video

Acoustic-based detection of stator faults in three-phase induction motors using machine learning techniques

  • WhatsApp
  • Facebook
  • Email
  • LinkedIn
  • Bluesky
Conference
  • Session
  • Duration: 2 mins
  • Publication date: 13 Apr 2026
  • Location: London, UK
  • Part of event PEMD 2026

About the session

Acoustic-based detection of stator faults in three-phase induction motors using machine learning techniques


Co-Authors:

Dr Marcelo Castoldi

Julia Smaniotto

Dr Gustavo Bazan

Dr Wesley Souza

Dr Alessandro Geodtel


Federal University of Technology - Parana


Channels

Power

Power

Electronics

Electronics

Speaker

  • MC

    Marcelo Castoldi

    Federal University of Technology

The Institution of Engineering and Technology iet.tv

Address: Futures Place, Kings Way, Stevenage, SG1 2UA

Telephone: +44 (0)33 049 9123

Email:  iet.tv@theiet.org

© 2026 The Institution of Engineering and Technology.

The Institution of Engineering and Technology is registered as a Charity in England & Wales (no 211014) and Scotland (no SC038698). Futures Place, Kings Way, Stevenage, Hertfordshire, SG1 2UA, United Kingdom

  • LinkedIn
  • Instagram
  • YouTube
Privacy statement Cookie Preferences Accessibility About us theiet.org Help

Powered by Cadmore Media

Embed Code

<script type="text/javascript" src="https://play.cadmore.media/js/EMBED.js"></script> <div class="cmpl_iframe_div"> <iframe src="https://play.cadmore.media/Player/72e7029e-1514-4cc6-b8bc-1bfc8afa4ba2" scrolling="no" allowtransparency="true" allowautoplay="true" frameborder="0" allow="encrypted-media;autoplay;fullscreen" class="cmpl_iframe" allowfullscreen="" style="overflow: hidden;border: 0px; margin: 0px; height: 100%; width:100%;"></iframe> </div>

Are you sure you want to reset your password?

If so, you will be redirected to the Authentication Service

Title

Prompt