Abstract
Propeller shaft is one of main sources to arouse vehicle noise. To decrease development cost and shorten development cycle, BP Neural Network model of influence of propeller shaft to vehicle noise was established using MATLAB software, combined with historical data. Then, the model was trained, results showed that it was stable and credible and the error of this model was between −4 and 4, which could be acceptable. Last, noise of the developing vehicle in the company was predicted using the model, offering theoretical reference to related people.
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References
Qian Z, Yuekui S, Yue S (2011) Study on automobile noise & vibration of causing by transmission shaft with cross-type universal joint. J Mech Transm 35(10):70–76
Ma D, Yu Z, Liu Y (2014) Research on application of BP neural network in predicting employment rate of college graduates. J Jiamusi Univ (Nat Sci Ed) 32(5):751–753
Liu H, Ren XZ, Zhang LP (2006) Prediction on grinding error of inner-bore of bearing ring based on BP neural network. J Henan Univ Sci Technol Nat Sci 27(2):13–15
Zhou J, Gu B (2006) Lifetime prediction of mechanical seal based on artificial neural networks. Fluid Mach 34(3):19–22
Kiani MKD, Ghobadian B, Tavakoli T et al (2010) Application of artificial neural networks for the prediction of performance and exhaust emissions in SI engine using ethanol-gasoline blends. Energy 35:65–69
Lee HH, Lee SK (2009) Objective evaluation of interior noise booming in a passenger car based on sound metrics and artificial neural networks. Appl Ergon 40(5):860–869
Chen ZY, Li SC, Zhai CY (2008) Application of improved BP network to leak-detecting system of pipeline. J Henan Univ Sci Technol Nat Sci 29(3):44–47
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Liu, Y., Xu, C., Niu, W., Zhang, X., Wei, J. (2017). Prediction and Study on the Influence of Propeller Shaft to Vehicle Noise Based on BP Neural Network. In: Proceedings of SAE-China Congress 2016: Selected Papers. SAE-China 2016. Lecture Notes in Electrical Engineering, vol 418. Springer, Singapore. https://doi.org/10.1007/978-981-10-3527-2_31
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DOI: https://doi.org/10.1007/978-981-10-3527-2_31
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-10-3527-2
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