Research On Sound Field Analysis And Detection Methods Of Key Bogie Components

Bogie as an important member of the locomotive,complex structure,difficult to accurately achieve detection of its direct component,with the development of the acoustic sensor array technology,which is applied to the acoustic signal characteristic to identify the bogie good solution These problems.Therefore,studying the distribution law of the radiated sound field of a locomotive bogie under different conditions and extracting features that are sensitive to different modes is of research value for realizing the detection of bogie acoustic signals.In this paper,based on the principle of acoustic imaging,combined with the acoustic detection method of acoustic sensor array spatial sound field distribution characteristics,numerical simulation is applied to study the spatial distribution characteristics of the radiated sound field of the bogie under different operating conditions,so as to realize the acoustic detection of the bogie.Taking the locomotive bogie as the research object,firstly,the locomotive bogie is modeled and simplified,the grid is divided,and the acoustic boundary element method is used to establish the boundary element model of the bogie;secondly,the LMS Virtual.Lab acoustic software is applied,Analyze the sound field distribution of the bogie,analyze the impact of key components of the bogie such as gearbox and motor and sound source parameters,including sound source position,frequency,amplitude and number of sound sources on the sound field distribution of the bogie;Based on the sound field distribution cloud map,the sensor array distribution is studied to realize the detection of the bogie acoustic signal;finally,on the basis of the above,the different acoustic sensor array arrangements are compared and analyzed,and engineering examples are used to verify.The result proves that this method has a certain guiding and reference function for the health monitoring of bogies.