Noise-source identification of a high-speed train by noise source level analysis
In this study, noise-source identification of a high-speed train was conducted using a microphone array system. The actual sound pressure level analysis of the noise source was performed using scaling factors between the real sound pressure and the beam-power output based on the assumption that the integrated area of the main beam-power lobe is equal to half that of the actual sound pressure of the noise source. Then, the scaling factors for the 144-channel microphone array were derived from analysis of the array response function, and a verification experiment was conducted using a known noise source, an air horn, located on a high-speed train moving at 240 km/h. After the verification test, noise-source identification of the high-speed train was conducted. Based on the resulting noise map of the high-speed train moving at 390 km/h, the main noise sources were determined to be the inter-coach spacing, wheels, and pantograph. The noise generated by the pantograph was then investigated in more detail. It was concluded that the pan head of the pantograph was the main noise source at a frequency of 1000 Hz.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09544097
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Supplemental Notes:
- Reprinted by permission of Sage Publications, Ltd.
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Authors:
- Noh, Hee-Min
- Publication Date: 2017-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 717-728
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Serial:
- Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
- Volume: 231
- Issue Number: 6
- Publisher: Sage Publications Limited
- ISSN: 0954-4097
- EISSN: 2041-3017
- Serial URL: http://pif.sagepub.com/content/current
Subject/Index Terms
- TRT Terms: Effective sound pressure; High speed rail; Microphones; Noise sources; Pantographs; Scaling factor
- Subject Areas: Railroads; Vehicles and Equipment;
Filing Info
- Accession Number: 01642019
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 26 2017 4:21PM