Abstract
A new method of diesel engine fault diagnosis based on BP network is introduced. The method is as follows: firstly, draws up the fuel pressure waveforms and extract eigenvalues according to the fuel pressure signal; secondly, treats these eigenvalues as input samples to train the established BP nerve network; finally, use the well-trained nerve network to carries on diesel engine fault diagnosis and drawn the result. The simulation experiment indicated, fault diagnosis based on BP neural network is in good agreement with measured values.
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© 2012 Springer-Verlag London Limited
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Yuan, K., Guo, X. (2012). Fault Diagnosis of Diesel Engine based on BP Neural Network. In: Zhu, R., Ma, Y. (eds) Information Engineering and Applications. Lecture Notes in Electrical Engineering, vol 154. Springer, London. https://doi.org/10.1007/978-1-4471-2386-6_115
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DOI: https://doi.org/10.1007/978-1-4471-2386-6_115
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2385-9
Online ISBN: 978-1-4471-2386-6
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