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| Determination of Acceleration Coefficient of Complex Equipment Under InformationShortage—Based on Grey Correlation and Failure Similarity |
| Received:June 27, 2021 Revised:August 19, 2021 |
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| DOI：10.7643/issn.1672-9242.2021.10.016 |
| KeyWord:acceleration coefficient grey correlation failure analysis similarity measurement |
| Author | Institution |
| DONG Xue-ping |
School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing , China |
| ZOU Long-chun |
School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing , China |
| ZHANG Heng |
School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing , China |
| TAO Liang-yan |
School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing , China |
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| Abstract: |
| Due to the restrictions that the traditional method for determining the acceleration coefficient is overly dependent on the reliability growth model and the data fusion mechanism using subsystems is too vague, this paper proposes a method for comprehensively determining the acceleration coefficient of complex equipment using the failure similarity, environment, and failure. By using grey correlation and grey target methods to fully screen historically relevant samples for information fusion, the proposed method collects as much as possible relevant information in the case of small samples. Compared with the traditional method, this method requires less data which is easy to obtain and simple for calculation, also suitable for various new environments of various new equipment. Subsequently, the analysis of examples proves the simplicity and practicability of this method. Therefore, this method has both theoretical and practical values. |
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