Development of New Failure Analysis Methods of Current Collection Systems Based on Bayesian Detection

초록

Developing a condition diagnosis system that assesses structural health and analyzes failure by monitoring the current condition of overhead lines and structures is currently a very competitive field. According to the needs of electric railways, condition-based monitoring systems have constantly been improved to increase equipment functionality and evaluate failure analysis. Our basic proposal is to present a method that processes large amounts of data and accurately determines and locates abnormal behavior of overhead line current. We propose a probability based criteria measurement system to monitor dynamic and electrical properties of catenary systems in electric railways.