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Development And Data Analysis Of Online Monitoring System For Catenary Compensation Device

Posted on:2021-05-08Degree:MasterType:Thesis
Country:ChinaCandidate:J Q ZhouFull Text:PDF
GTID:2392330614471178Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Catenary compensation device is the vital component to ensure the operational reliability of catenary by adjusting the catenary tension to improve the current collection quality between pantograph and catenary of high-speed railway.In order to improve the operational reliability and safety of catenary,monitoring the catenary compensation device online is a good way to find the hidden trouble and fault in time.The catenary state is mainly affected by the temperature and influenced by the wind,pantograph-catenary contact,free vibration and etc.which is reflected as the change of value b of the catenary compensation device.So far,nobody has done the job to predict and identify the state of catenary,this paper is going to design a set of online monitoring system of catenary compensation device to predict and identify the catenary state and alarm the fault.Firstly,to study the vibration characteristics of the value b changed with wind speed,the paper establishes a 12-spain catenary model on basis of Beijing-Tianjing catenary with COMSOL Multiphysics.Certainly,before finite element analysis,the paper uses the Davenport spectrum as the target spectrum to simulate the wind speed on count of autoregressive model from linear filtering method.By this way,we can obtain the variation law of the pendent displacement at different wind speed and conclude the vibration characteristic of catenary with different state such as frequency,waveform and last time with references.As the value b caused by the strong wind over 30m/s is similar to the change caused by the breakage of catenary suspension and the vibration frequency brought about by the wind includes the free vibration frequency and pantograph-catenary vibration frequency,so it is necessary to separate out the displacement caused by the wind with Fast ICA algorithm to identify the catenary state accurately.Simultaneously,a method of FFT-MDP is proposed to offset the uncertainty of amplitude,phase and rank of the separated signal,so that it is easier to identify the fault and vibration state of catenary from value b without wind affect.In order to monitor and alarm the fault timely,a set of the catenary compensation device online monitoring system is developed based on the above analysis.The lower computer is devised from the aspects of function design,power saving design,data communication design,power supply design and so on.According to the calculation,it can save approximately 9.989 Ah power when lower computer works with energy-saving scheme and the real power consumption is only 33.9% of the whole power consumption when energy-saving scheme is not adopted.According to the “Operation and maintenance regulations of catenary” issued by the Ministry of Railways,value a and value b shall not be smaller than 200 mm,so the lower computer will alarm the fault when the value b is abnormal.The upper computer realizes the function of remote cooperation with the lower computer,which is researched and developed from the aspects of command control,wireless communication,data storage and management,data processing and analysis,state identification and prediction.It can not only identify the breakage fault and vibration state of catenary,but also fit the value b to temperature from the measured data and adjust the fault of binding,parts loose or other faults by comparing the predicted curve and measured curve.The catenary compensation device online monitoring system which obtaines the calibration certificate of Chinese Institute of Metrology,has been installed at Beijing railway rolling stock depot and worked stably so far.It is of great significance in many fields,such as intelligent monitoring,fault alarm,data management and the construction of railway 6C system.
Keywords/Search Tags:Catenary compensation device, On-line monitoring system, Wind-induced vibration, Slit-step algorithm, State prediction and identification
PDF Full Text Request
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