Research On Reliability Evaluation And Maintenance Decision Method For High-speed Train Control On-board Equipment

The construction of high-speed railway marks the arrival of a new situation in China's railway construction.With characteristics of high speed,convenience,and comfort,the high-speed railway has gradually become the priority choice for the people to travel.The rapid development of high-speed railways will greatly promote social and economic construction,improve the national strategic layout as well as people's livelihood and social conditions,and plays a leading role in supporting the building of a well-off society in an all-round way.As a large-scale ground transportation system that is critical to passengers' lives and property safety,the safety and reliability of high-speed train operations are critical.As one of the key technologies of the high-speed railway with safety-critical characteristics,the on-board equipment of the high-speed railway train control system is the principal part that handles and controls the high-speed train.It is the core system that guarantees the safety of high-speed railway traffic and improves transportation efficiency.Its safe and reliable operation is of great significance to passenger transportation safety,train operating efficiency,and railway economic benefits.Therefore,it is of great significance to carry out research on key technologies for reliability assessment of high-speed train control on-board equipment,to provide theoretical and technical support for the operation safety of high-speed trains,and to prevent the occurrence of major and malignant safety accidents.It has become one of the hot research issues in the field of high-speed train operation safety and reliability.Based on the related issues of reliability research of high-speed train control on-board equipment,this paper first proposes a multi-dimensional data model for the large-scale high-speed train control on-board equipment operation data to model and analyze the operation data.The fault risk assessment index system and evaluation method of high-speed train train-controlled on-board equipment are constructed for complex coupled faults to form an analysis of the importance of high-speed train control on-board equipment.The reliability assessment method is established based on Bayesian estimation aiming at the small sample fault data of high-speed train control on-board equipment.Based on the fault failure risk assessment and reliability evaluation,a comprehensive maintenance and repair strategy combining "failure repair" and "preventive repair" is formed.Based on the research work of the thesis,the innovations of this thesis are listed as follows.(1)A multi-dimensional data model for high-speed train control on-board equipment is proposed.The multi-dimensional data model is described,constructed,and analyzed using data cubes,and combined with the relevant operation modes of the data cube,the spatiotemporal characteristics of high-speed train control on-board equipment fault distribution are analyzed.It solves the problems related to the standardized management,storage,and analysis of the operation data of large and complex high-speed train control on-board equipment and realizes the effective analysis of the spatiotemporal characteristics of equipment failures under large-scale data.(2)A failure risk assessment structure is established for high-speed train control on-board equipment.Based on the structure of high-speed train control on-board equipment and the flow of information between various components,a fault transfer graph model was established and the fault impact index was calculated using the Page Rank algorithm.Based on the analysis of the multi-dimensional data model,the failure occurrence index and the failure hazard index were calculated.An on-board equipment failure risk assessment algorithm is proposed based on the grey correlation-TOPSIS algorithm,which solves the problem of failure risk assessment under complex coupling failures for the high-speed train control onboard equipment.(3)The reliability evaluation method of high-speed train control on-board equipment is proposed based on Bayesian estimation.which solves the under-fitting of the life distribution for high-speed train control on-board equipment under small sample failure information by the classic statistical inference algorithm.Considering the differences between different systems,a multi-device reliability evaluation method based on the Bayesian hierarchical model is proposed,which effectively analyzes the impact of system differences on device reliability evaluation.(4)A maintenance and repair strategy combining repair and preventive maintenance is established for the high-speed train control on-board equipment.Based on the failure risk assessment results the appropriate maintenance method is determined for different components.Using the reliability assessment results as constraints,the cost-optimized preventive maintenance model is established.And the calculation of maintenance and repair decisions is optimized based on the quantum genetic optimization algorithm,which effectively improves the operating time of high-speed train control on-board equipment and reduces the maintenance cost of equipment.The thesis validates the relevant model algorithm proposed in this paper by using the actual operation data of the high-speed train control on-board equipment.The research results can provide high theoretical reference value in terms of data management and analysis,failure analysis,reliability assessment,and maintenance and repair strategies for the high-speed train control on-board equipment.