CRYPTOREPORTCLUB
  • Crypto news
  • AI
  • Technologies
Friday, July 4, 2025
No Result
View All Result
CRYPTOREPORTCLUB
  • Crypto news
  • AI
  • Technologies
No Result
View All Result
CRYPTOREPORTCLUB

Motor safety: AI-powered warning system enhances capability to uncover hidden faults

July 3, 2025
155
0

July 3, 2025

The GIST Motor safety: AI-powered warning system enhances capability to uncover hidden faults

Related Post

Young children outperform state-of-the-art AI in visual object recognition

Young children outperform state-of-the-art AI in visual object recognition

July 3, 2025
One Tech Tip: Get the most out of ChatGPT and other AI chatbots with better prompts

One Tech Tip: Get the most out of ChatGPT and other AI chatbots with better prompts

July 3, 2025
Gaby Clark

scientific editor

Robert Egan

associate editor

Editors' notes

This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

fact-checked

proofread

A breakthrough in motor safety: AI-powered warning system enhances capability to uncover hidden winding faults
Architecture of a CNN. Credit: CES Transactions on Electrical Machines and Systems (2025). DOI: 10.30941/CESTEMS.2025.00019

A study, led by Dr. Wentao Huang, overcame a critical gap in five-phase permanent magnet synchronous motor (PMSM) diagnostics: conventional methods fail to assess inter-turn short-circuit (ITSC) severity. The method integrates two technologies: a real-time tracker that diagnoses faults, and an AI analyzer that processes signals to quantify damage while estimating short-circuit parameters.

For years, the challenge of quantifying inter-turn short-circuit severity in operating motors has stumped engineers, as traditional methods struggled to decouple complex fault parameters. Conventional diagnostic approaches fell short in real-time assessment, leaving critical risks like irreversible demagnetization undetected.

The method, based on extended state observer (ESO) and convolutional neural network (CNN), was developed at Jiangnan University and represents a fundamental leap forward. Critically, its ability to isolate short-circuit turn ratio from fault resistance eliminates a key roadblock in fault diagnostics, enabling precise real-time severity grading that dictates targeted protection responses.

The research is published in the journal CES Transactions on Electrical Machines and Systems.

This method delivers critical real-world protection: by enabling precise fault localization and real-time severity assessment, it provides sufficient information for implementing effective fault-tolerant measures. Furthermore, potential maintenance costs can be substantially reduced. For electric vehicles specifically, the technology serves as a crucial safeguard, preventing undetected motor short circuits from escalating into life-threatening electrical fires.

A breakthrough in motor safety: AI-powered warning system enhances capability to uncover hidden winding faults
Data processing uses the Fast Fourier transformation (FFT) to extract and normalize fault indicator amplitudes, forming sample data from ratios to normal steady-state values. A CNN is then trained on this data to deliver online short-circuit turn ratio estimation. Credit: Yijia Huang

Looking to the future: Smarter, self-protecting motors

Next-phase development will equip motors with self-protection capabilities: automatically reducing power during fault detection to prevent damage, while seamlessly integrating with factory networks for live fleet health monitoring.

Beyond industrial use, this technology could be adapted for critical infrastructure—potentially hardening wind turbines against generator failures in harsh environments and incorporating protective systems into aerospace electric propulsion to mitigate in-flight hazards.

This evolution leverages our core breakthrough in real-time fault decoupling, enabling machines to autonomously respond to electrical faults before they escalate. Imagine wind farms autonomously reporting issues during storms, or electric aircraft proactively containing component overheating in flight—all enabled by advanced diagnostic intelligence.

More information: Yijia Huang et al, Inter-Turn Short-Circuit Fault Diagnosis and Severity Estimation for Five-Phase PMSM, CES Transactions on Electrical Machines and Systems (2025). DOI: 10.30941/CESTEMS.2025.00019

Provided by CES Transactions on Electrical Machines and Systems Citation: Motor safety: AI-powered warning system enhances capability to uncover hidden faults (2025, July 3) retrieved 3 July 2025 from https://techxplore.com/news/2025-07-motor-safety-ai-powered-capability.html This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

More efficient monitoring of wind turbines and electric vehicles 0 shares

Feedback to editors

Share212Tweet133ShareShare27ShareSend

Related Posts

Young children outperform state-of-the-art AI in visual object recognition
AI

Young children outperform state-of-the-art AI in visual object recognition

July 3, 2025
0

July 3, 2025 The GIST Young children outperform state-of-the-art AI in visual object recognition Sadie Harley scientific editor Robert Egan associate editor Editors' notes This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: fact-checked peer-reviewed...

Read moreDetails
One Tech Tip: Get the most out of ChatGPT and other AI chatbots with better prompts

One Tech Tip: Get the most out of ChatGPT and other AI chatbots with better prompts

July 3, 2025
European companies urge EU to delay AI rules

European companies urge EU to delay AI rules

July 3, 2025
Key biases in AI models used for detecting depression on social media

Key biases in AI models used for detecting depression on social media

July 3, 2025
Hertz customer hit with $440 charge after AI inspection at Atlanta airport

Hertz customer hit with $440 charge after AI inspection at Atlanta airport

July 3, 2025
Distrust in AI is on the rise—but along with healthy skepticism comes the risk of harm

Distrust in AI is on the rise—but along with healthy skepticism comes the risk of harm

July 3, 2025
How AI is improving accounting efficiency—without replacing jobs

How AI is improving accounting efficiency—without replacing jobs

July 2, 2025

Recent News

Crunchyroll blames third-party vendor for AI subtitle mess

Crunchyroll blames third-party vendor for AI subtitle mess

July 4, 2025
Young children outperform state-of-the-art AI in visual object recognition

Young children outperform state-of-the-art AI in visual object recognition

July 3, 2025

IMF warns that Trump’s tax bill will make debt reduction difficult in the medium term

July 3, 2025
Here are the letters that let Apple and Google ignore the TikTok ban

Here are the letters that let Apple and Google ignore the TikTok ban

July 3, 2025

TOP News

  • Top 5 Tokenized Real Estate Platforms Transforming Property Investment

    Top 5 Tokenized Real Estate Platforms Transforming Property Investment

    536 shares
    Share 214 Tweet 134
  • Bitcoin Bullishness For Q3 Grows: What Happens In Every Post-Halving Year?

    534 shares
    Share 214 Tweet 134
  • Buying Art from a Gallery. A Guide to Making the Right Choice

    534 shares
    Share 214 Tweet 134
  • Nintendo Miis are post-gender on Switch 2

    532 shares
    Share 213 Tweet 133
  • How AI helps push Sweet Crush gamers by its most tough puzzles

    532 shares
    Share 213 Tweet 133
  • About Us
  • Contact Us
  • Privacy Policy
  • Terms of Use
Advertising: digestmediaholding@gmail.com

Disclaimer: Information found on cryptoreportclub.com is those of writers quoted. It does not represent the opinions of cryptoreportclub.com on whether to sell, buy or hold any investments. You are advised to conduct your own research before making any investment decisions. Use provided information at your own risk.
cryptoreportclub.com covers fintech, blockchain and Bitcoin bringing you the latest crypto news and analyses on the future of money.

© 2023-2025 Cryptoreportclub. All Rights Reserved

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Crypto news
  • AI
  • Technologies

Disclaimer: Information found on cryptoreportclub.com is those of writers quoted. It does not represent the opinions of cryptoreportclub.com on whether to sell, buy or hold any investments. You are advised to conduct your own research before making any investment decisions. Use provided information at your own risk.
cryptoreportclub.com covers fintech, blockchain and Bitcoin bringing you the latest crypto news and analyses on the future of money.

© 2023-2025 Cryptoreportclub. All Rights Reserved