Abstract
In view of the close correlations between the working state of engine moving parts and the whole machine structure with the characteristics of the engine vibration noise problem, in analysis of engine vibration noise, and start from the noise signal characteristic in the engine working process, the engine structure and performance has been analyzed, the engine fault types have been obtained by the fault diagnosis prediction method, which has been applied in structural optimization. In order to explore the high efficient and environment protection of the engine structure model, the model and analysis of the whole engine, fan cooling system and combustion chamber were carried out by using the model of sound and vibration coupling and premixed combustion, which is verified to improve the efficiency of the engine and environmental protection by the comparison of different models.
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Acknowledgments
The work was also supported by The science and technology research project of the Education Department of Jiangxi Province in 2015 with the project number GJJ150156 and the project name Prediction of Forest Fire Spread Based on Grey GM (1,1) Model. The work was also supported by the Post Doctoral Orientation Funding Project of Yunnan Province in 2015. The work was supported by the Project of Youth Science Foundation of National Natural Science Foundation with the project number 41505015 and the project name Measurement Method of Atmospheric High-resolution Microwave Radiometric Based on Virtual Mirror Antenna.
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Wang, X., Zhu, H., Liu, Z. (2018). Fault Diagnosis and Structure Optimization of Engine Based on Signal Feature and CFD. In: Mizera-Pietraszko, J., Pichappan, P. (eds) Lecture Notes in Real-Time Intelligent Systems. RTIS 2016. Advances in Intelligent Systems and Computing, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-60744-3_50
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DOI: https://doi.org/10.1007/978-3-319-60744-3_50
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