Abstract
To solve the problem of maintenance lag caused by long-term ocean voyage, a health assessment method is proposed based on the testability model for diesel engine. Firstly, the testability model is applied to generate the “fault-test” correlation matrix and accurately describe the interaction of each module and the fault signal propagation in the system structure; Then, the current health state corresponding to the bottom fault mode can be quickly deduced by using the model to infer the test information entropy; Finally, the health status of the whole diesel engine is evaluated by mapping to the health status of the upper structure through the support vector machine algorithm. The method can be used to determine the maintenance requirements in advance and improve the accuracy of fault prediction.
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Acknowledgements
This paper is supported by the Key Research and Development Program from Hunan Province (No. 2018GK2073) and the Scientific Research Project from Hunan Education Department (No. 19B326).
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Xiao, R., Qin, G., Zhou, Z., Wang, M. (2023). Health Status Assessment of Marine Diesel Engine Based on Testability Model. In: Zhang, H., Feng, G., Wang, H., Gu, F., Sinha, J.K. (eds) Proceedings of IncoME-VI and TEPEN 2021. Mechanisms and Machine Science, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-030-99075-6_83
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DOI: https://doi.org/10.1007/978-3-030-99075-6_83
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