Fault Diagnosis

2 articles · search the full text for this term

• Published Subscription Review Article 29 Oct 2026

  Real Time Ai Based Fault Detection in EV

  By Shruti S Magare, Divya R Jadhav, Pratiksha P Patil, N.B.Shaikh

  Abstract: Electric vehicles (EVs) are rapidly increasing in usage, but motor faults can affect their performance and safety. This paper presents a real- time AI-based fault detection system using sensor data and embedded processing. The system utilizes an ESP32 microcontroller along with current, vibration, and temperature sensors to continuously monitor motor conditions. An intelligent algorithm analyzes real-time data to detect abnormalities such as overheating, overcurrent, and mechanical faults. When a fault …

  Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 3, 2026 Read article →

• Published Subscription Review Article 27 Oct 2026

  Digital Twin and Machine Learning Framework for Predictive Maintenance of Nuclear Power Systems

  By Shweta Zambare, Shivani Shendage, Pratiksha Surve, Nilophar Shaikh, Vaibhav Godase

  Abstract: Nuclear power systems contain safety-critical components whose degradation can affect availability, reliability, and maintenance planning. Conventional maintenance strategies are largely based on scheduled inspection, threshold monitoring, and condition-based assessment, which may not fully exploit the large volume of continuously generated plant data. Digital Twin (DT) technology provides a mechanism for maintaining a synchronized virtual representation of a physical nuclear system, while machine learning (ML) can extract degradation patterns from multivariate …

  Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 2, 2026 Read article →