Fault diagnosis and structure optimization of engine based on signal feature and CFD

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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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Wang, X., Zhu, H., & Liu, Z. (2018). Fault diagnosis and structure optimization of engine based on signal feature and CFD. Advances in Intelligent Systems and Computing, 613, 464–471. https://doi.org/10.1007/978-3-319-60744-3_50

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