Method and system for identifying noise source in high speed train

Abstract

A method for identifying a noise source in a high speed train is characterized in that each of a plurality of possible vibration exciting points is equipped with at least one measuring point sensor; a backup sensor is arranged at the same measuring point position in a different direction, or a plurality of sensors simultaneously acquiring signals are mounted at the same measuring point; before the test, an exciting hammer is used for knocking on each measuring point of an input signal, and the output response of all the other measuring points is tested at the same time so as to constitute a real transfer relation of the measuring points before mutual crosstalk; strongly coupled crosstalk data of an input channel are strongly decoupled through actual output signals of the measuring points; real exciting signals of the measuring points after the decoupling are used for the identification and analysis of a sound source in the train; and the exciting measuring points are ranked with respect to influence factors of response points to determine the main noise source of the noise in the train. According to the invention, the false frequency can be eliminated to accurately determine a noise source outside the train and a vibration source so as to facilitate the effective control and reduction of the noise in the high speed train.

Description

technical field [0001] The invention relates to a method and system for identifying noise sources in a high-speed train, in particular to a method and system for identifying strong and weak coupling noise sources in a high-speed train. Background technique [0002] The noise inside the high-speed train is affected by various noise sources and vibration sources outside the train. Therefore, the accurate determination of various noise sources and vibration sources outside the train can effectively control the noise inside the train, and then reduce the noise inside the high-speed train. However, there is coupling between various noise sources, which seriously affects the accuracy of sound source identification. Therefore, a method of decoupling between different source intensity inputs for sound source identification in high-speed trains is needed to improve the sound quality. Accuracy of sound source identification in the source car. However, in the prior art, until now, th...

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Problems solved by technology

[0012] In 2013, Guo Rong et al. believed that the OPTA method had some defects. Due to factors such as structural modes and other factors, there would be cross-coupling between the transfer paths, resulting in inaccurate transfer functions, and errors in the results of the transfer path analysis. However, it was not no solution given

[0017] However, in the prior art, those skilled in the art have not realized that there is a strong crosstalk between the noise sources of the high-speed train, so no one has ever thought of a noise source identification method through strong decoupling processing in advance, and no one can eliminate the false Frequency, therefore, the control technology of the noise in the car has not been able to make a major breakthrough

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