THE ROLE OF ARTIFICIAL INTELLIGENCE IN PREDICTING AND PREVENTING AUTOMOTIVE FAILURES IN HIGH-STAKES ENVIRONMENTS

Vishwanadham Mandala; Dilip Kumar Vaka

doi:10.17605/OSF.IO/UBFPW

Authors

Vishwanadham Mandala Enterprise Data Integration Architect, USA. Author
Dilip Kumar Vaka Supply Chain Architect, USA Author

DOI:

https://doi.org/10.17605/OSF.IO/UBFPW

Keywords:

Predictive Analytics, Supply Chains, Industry 4.0, Internet Of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Smart Manufacturing (SM)

Abstract

Artificial intelligence mimics human-like intelligence and is used to predict and prevent critical automotive failures. These failures often occur in testing situations and can be dangerous. Understanding component behavior is crucial for implementing effective defenses against failure. Currently, it is challenging to predict random component failures. AI allows for predictive failure simulation by intelligently emulating real-world conditions. By comparing simulated component behavior with actual data, failure prediction becomes possible. This is valuable for maintenance and spare provisioning plans. AI technology in automotive systems is growing, making it essential to address current problems and prevent future failures. Simulation and preventative maintenance are crucial for understanding system behavior and preventing failures.

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