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Long-Storage Performance Prediction Method for Complex Systems Based On Data Fusion

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Published:28 August 2019Publication History

ABSTRACT

For a long time, the protection and maintenance of complex equipment system mainly adopts periodic inspection, maintenance and fault diagnosis and emergency repair during service. However, it can't evaluate and forecast the overall quality and long-storage performance of the system, which has many inconveniences for regular inspection and maintenance, and may affect the reliability of mechanical equipment. According to the structure and use characteristics of complex equipment system, the application software engineering idea and object-oriented programming method, a complex system data fusion software and method were developed using data fusion technology. The method can analyze the data of the material layer, the component layer and the system layer, and respectively fuse the data of each layer to realize the corrosion analysis and prediction of various complex mechanical systems. Using the missile tank system as an example, the feasibility and accuracy of the data fusion method are verified.

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      cover image ACM Other conferences
      ICBDT '19: Proceedings of the 2nd International Conference on Big Data Technologies
      August 2019
      382 pages
      ISBN:9781450371926
      DOI:10.1145/3358528

      Copyright © 2019 ACM

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      Publication History

      • Published: 28 August 2019

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