Abstract
Railway switch and crossing (S&C) systems have a very complex structure that requires not only a large number of components (such as rails, check rails, switches, crossings, turnout bearers, slide chair, etc.) but also different types of components and technologies (mechanical devices to operate switches, electrical and/or electronic devices for control, etc.). This complexity of railway S&C systems makes them vulnerable to failures and malfunctions that can ultimately cause delays and even fatal accidents. Thus, it is crucial to develop suitable condition monitoring techniques to deal with fault detection and diagnosis (FDD) in railway S&C systems. The main contribution of this paper is to present a comprehensive review of the existing FDD techniques for railway S&C systems. The aim is to overview the state of the art in rail S&C and in doing so to provide a platform for researchers, railway operators, and experts to research, develop and adopt the best methods for their applications; thereby helping ensure the rapid evolution of monitoring and fault detection in the railway industry at a time of the increased interest in condition based maintenance and the use of high-speed trains on the rail network.
Highlights
The railway market is growing stronger worldwide
Good prospects are expected from this growth; high performance of rail-based transport systems should be guaranteed since a number of uncertainties could greatly challenge this fast development, especially with the introduction of long-term strategy objectives such as a step change in behavior and organization in railways to benefit from e-mobility and electrification [2]
The fault detection and diagnosis (FDD) methods applied for switch and crossing (S&C) systems whereas in this paper, the FDD methods developed/applied to railway S&C systems are classified were classified into non-dynamic and dynamic algorithms in the previous review paper, whereas in this into model-based and data-driven methods. Another difference of this review paper is that it paper, the FDD methods developed/applied to railway S&C systems are classified into model-based considers all research papers
Summary
The railway market is growing stronger worldwide. The 2018 Worldwide Market for Railway. The FDD applied for S&C aforementioned review will just focus on giving an overview ofmethods the recent published papers systems were classified into non-dynamic and dynamic algorithms in the previous review paper, related to the CM of railway S&C systems. Another difference of this review paper is that it paper, the FDD methods developed/applied to railway S&C systems are classified into model-based considers all research papers (that deal with detection and diagnosis (and sometimes prognosis) of and data-driven Another difference this review paper is that it considers all research different S&Cmethods. A traditional railway S&C system consists of several individual elements such as the switch layout, actuation mechanism, sensor and control system, and detection and locking mechanism.
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