1 publication

• Published Subscription Original Research 25 Feb 2026

  AI-Driven Predictive Maintenance Framework for Intelligent Vehicle Health Monitoring

  By Chandani S. Bartakke, Patil Sarang Maruti, Mukesh Kumar Gupta, Amit Tiwari

  Abstract: The accelerated development of smart and connected car systems made the necessity to find the accurate and real-time predictive maintenance solutions which would minimize the number of unexpected failures as well as increase the cars on-road safety. The current paper proposes an artificial intelligence-based hybrid predictive maintenance system that combines Long Short-Memory (LSTM) networks and the XGBoost predictor to provide a potent vehicle fault diagnosis, Remaining Useful Life (RUL) prediction, …

  Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–17 Read article →