The application of big data analysis in ship mechanical fault diagnosis system

Jinliang Zhang

doi:10.1117/12.2670497

1 June 2023 The application of big data analysis in ship mechanical fault diagnosis system

Jinliang Zhang

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 1262527 (2023) https://doi.org/10.1117/12.2670497
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

In the context of the development of the new era, although a large number of data information has emerged in the development of China's shipping industry, the overall trend is decentralized and has no practical application value. In order to master more valuable data information in the intelligent development of shipbuilding industry, researchers put forward the use of big data technology to process and store massive data. In the shipbuilding industry, big data analysis is widely used to collect and diagnose mechanical faults, and a standard mechanical fault diagnosis system is built, which can not only start from a macro perspective, discover the rules, but also obtain valuable content according to the collected information. Therefore, on the basis of understanding the development status of big data analysis and ship machinery fault diagnosis, this paper deeply discusses how to build a ship machinery fault diagnosis system according to the main content of big data analysis. The final results show that the application of big data analysis in the ship mechanical fault diagnosis system meets the technical requirements of the ship industry innovation in the new era.

Citation Download Citation

Jinliang Zhang "The application of big data analysis in ship mechanical fault diagnosis system", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 1262527 (1 June 2023); https://doi.org/10.1117/12.2670497

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