Intelligent Prediction And Integrated Health Management Of Typical Faults In Traction Power Supply Of Beijing-shanghai High-speed Railway

The Beijing-Shanghai high-speed railway is the world’s highest technical standard high-speed railway.In the context of the mega traffic of the Beijing-Shanghai high-speed railway,the traction power supply network failure will result in a large number of people stranded in the station,which will also cause a bad social impact,therefore,the BeijingShanghai high-speed railway needs more scientific and complete maintenance management and guarantee measures than the general speed railway.At the same time,the development status of fault diagnosis and fault location methods for the power supply system of the former high-speed railway is still far from the ambitious blueprint of developing intelligent high-speed railway put forward by China National Railway Group Corporation,and it is important to carry out research on more effective intelligent fault warning and more accurate fault ranging methods for the traction power supply system.This paper analyses the factors that may lead to faults in the traction power supply system,such as ice and snow,dangerous trees,light body floating objects,lightning strikes,bird damage and foreign object intrusion,in the light of the actual development of high-speed railway power supply system safety.Based on this,this paper investigates intelligent fault warning and more accurate fault ranging methods for traction power supply systems,based on which predictions can be made in advance,saving time for organising maintenance forces and fault repair.Firstly,based on the analysis of typical fault ranging and fault feature identification of traction power supply of high-speed railways at home and abroad,combined with the statistical analysis of traction power supply data of Beijing-Shanghai high-speed railways for many years,this paper identifies the typical fault ranging matching method according to the change law of electrical quantity in the traction power supply network during faults,establishes fault inference model,fault knowledge base,fault rule base and plausibility fault inference method,and provides a basis for the later paper to propose This paper provides a pavement for proposing intelligent fault warning and fault ranging methods for traction power supply systems.Secondly,based on the analysis of the operation of the traction power supply lines of the Beijing-Shanghai High-speed Railway,this paper summarises the faults of the power supply equipment and bow network caused by tree encroachment on the lines,foreign objects hanging on the network,and bird nesting,and proposes methods and measures for intelligent early warning.By analysing the phase angle between voltage and current in the autotransformer at both ends of the segment,the segment and the positive or negative conductor where the earth fault occurred are identified,and finally the fault location is determined by comparing the measured current in the autotransformer with the previously recorded value.In addition,this paper proposes a new method for locating earth faults in 2 x 25 k V traction power systems based on measuring the current and voltage in an autotransformer on a section of the line.According to the AT supply fault ranging principle,the determination of the fault point is not related to the fault current size,but only to the ratio between the current drawn on each,according to which the AT supply fault ranging accuracy correction compensation method is proposed.Finally,combining the defect images of the equipment of the traction power supply system of the Beijing-Shanghai high-speed railway,two deep learning methods are adopted to locate the equipment parts and classify and identify the defects,and the calculation and evaluation model of high reliability is derived.Applying the above models and theoretical methods to the 6C system of high-speed railway,it has proved to be important for improving equipment quality,reducing the failure rate and shortening the repair time,verifying the effectiveness of intelligent fault identification and ranging,and providing an important reference for the application of intelligent operation and maintenance engineering of high-speed railway in China.