A Preliminary Study On The Health Monitoring System For Key Equipment Of Suspension Frame Of Medium And Low Speed Maglev Train

As a new type of urban rail vehicle,higher requirements have been put forward for the safety and reliability of the medium and low speed maglev train with the continuous promotion of its commercial operation.Therefore,accurate and reasonable fault diagnosis system has become an important guarantee for the safe operation of maglev trains.Many fault diagnosis methods require the on-line monitoring system to provide certain system status information,which served as a basis for judgment.This paper takes the key functional equipment such as suspension electromagnet and linear motor installed on the suspension frame of medium and low speed maglev vehicles as an example,and designs an online monitoring system for longterm tracking and monitoring of equipment operation status.The collected data can serve as a reference for technical optimization and feasibility demonstration.On the other hand,it can also be applied to the creation of knowledge base of maglev train and the theoretical research of maglev technology,which will lay a foundation for realizing the networking of operation and maintenance system of maglev train in the future.The main contents and results include the following aspects:(1)The basic causes of vibration of maglev vehicle were introduced here,and the necessity analysis of measuring point arrangement of monitored objects w carried out,and then the concrete position of sensor is determined.(2)The objectives and principle of the system design are analyzed,and the overall design scheme of the system is proposed in combination with the commonly used analog quantity acquisition module.Based on the principle of sensor selection and the requirements of the overall design scheme,the hardware configuration of the monitoring system is determined,including microprocessor,vibration sensor,temperature sensor and serial communication chip.And then the hardware configuration is explained the aspects of working principle,pin function,communication connection method and communication protocol architecture in detail,which provides a good hardware platform for the whole system operation.(3)Based on the Microsoft.NET software platform,a health monitoring system with multi-parameters and multi-measuring points for key components of medium and low speed maglev train is designed,which can monitor the running status of key components of maglev train and realize the functions of data waveform display,data information display and fault alarm.On this basis,the daily database,historical database and fault database are established for the monitoring system.(4)Adopting the idea of modular design,a one-click analysis system for monitoring data is developed,including the eigenvalue analysis in time domain,the amplitude spectrum and power spectrum analysis in frequency domain.Thus,the internal composition of the signal is revealed,which will provide a preliminarily reference for technicians to determine the location and type of the fault.In this paper,a visual software platform for condition monitoring and fault comprehensive evaluation of maglev train is established,and the system is tested and verified on a singlepoint suspension test bench.The whole system has advantages of low design cost,low power consumption and many measurable parameters.Furthermore,the function of intelligent fault diagnosis and the monitoring of more parameters can be realized by expanding additional modules and software upgrade.The results of single suspension frame test show that each module can achieve the corresponding functions and meet the system design requirements,which can provide corresponding technical support for the monitoring of key components of maglev train.