LEVERAGING OPEN TELEMETRY AND AI FORPREDICTING AND OPTIMIZING WHEEL LIFEAND PERFORMANCE FOR RAILROADS
Keywords:
iot, Artificial Intelligence (AI), Prognostic, Health Management, Wheel Polygonization, Wheel Profile Measurement SystemsAbstract
Prognostic and health management (PHM) is a rapidly developing field that leverages sensors, real-time monitoring, advanced cameras, and drones to enhance the performance and safety of rail systems. Wheel replacements account for about 60% of railcar maintenance costs, and wheel profile data is crucial for determining wheel life productivity. This paper demonstrates how artificial intelligence (AI) can be applied to analyze wheel profile data and optimize wheel maintenance strategies. The paper shows how AI can reduce maintenance costs, improve operating ratio, detect wheel wear in a timely manner, and prevent accidents and derailments. The paper also discusses the future opportunities and challenges of using AI for PHM in the rail industry.
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Copyright (c) 2024 Subhadip (Translator); Kumar (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
