This book summarizes the findings of several research projects on high-speed Overhead Catenary Systems (OCS). It covers the system's functions, key components and failure modes, as well as reliability, availability, maintainability, and safety metrics, along with methods for component-level design and system-level reliability allocation. It also presents dynamic models and simulation analyses for single and double pantograph operations, introduces exogenous failure prediction under conditions such as lightning, strong wind, and haze, and explores endogenous fault and risk prediction using Bayesian networks. Additionally, it outlines availability assessment methods based on Markov processes and stochastic Petri nets, and proposes health management strategies focused on optimizing maintenance and inspection cycles.

This book summarizes the findings of several research projects on high-speed Overhead Catenary Systems (OCS). It covers the system's functions, key components and failure modes, as well as reliability, availability, maintainability, and safety metrics, along with methods for component-level design and system-level reliability allocation. It also presents dynamic models and simulation analyses for single and double pantograph operations, introduces exogenous failure prediction under conditions such as lightning, strong wind, and haze, and explores endogenous fault and risk prediction using Bayesian networks. Additionally, it outlines availability assessment methods based on Markov processes and stochastic Petri nets, and proposes health management strategies focused on optimizing maintenance and inspection cycles.

This book summarizes the findings of several research projects on high-speed Overhead Catenary Systems (OCS). It covers the system's functions, key components and failure modes, as well as reliability, availability, maintainability, and safety metrics, along with methods for component-level design and system-level reliability allocation. It also presents dynamic models and simulation analyses for single and double pantograph operations, introduces exogenous failure prediction under conditions such as lightning, strong wind, and haze, and explores endogenous fault and risk prediction using Bayesian networks. Additionally, it outlines availability assessment methods based on Markov processes and stochastic Petri nets, and proposes health management strategies focused on optimizing maintenance and inspection cycles.