Paper
22 April 2022 Research on equipment reliability evaluation method based on information fusion
Jingde Huang
Author Affiliations +
Proceedings Volume 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021); 121740E (2022) https://doi.org/10.1117/12.2628510
Event: International Conference on Internet of Things and Machine Learning (IoTML 2021), 2021, Shanghai, China
Abstract
In engineering practice, during the gradual development of many equipment from normal state to fault state, they have to experience the three-level working state of "safety state - potential failure - functional failure". From the external performance of potential failure, the first is that the symptom is weak, non-stationary, and does not cause substantial damage to the system. The detected data is zero-failure data, Therefore, the characteristic information of potential failure is relatively small, which belongs to typical small sample information; Secondly, due to the lack of accurate judgment and health analysis of equipment working state, the unnecessary maintenance may aggravate the evolution speed from potential failure to failure; Third, when the equipment operates under overload or harsh conditions, it will promote the deterioration of potential failure to a certain extent. Aiming at the difficulty of reliability evaluation of multi state system, a reliability method based on information fusion is proposed by making rational use of prior information, which provides a technical way for equipment reliability evaluation.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingde Huang "Research on equipment reliability evaluation method based on information fusion", Proc. SPIE 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021), 121740E (22 April 2022); https://doi.org/10.1117/12.2628510
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KEYWORDS
Reliability

Information fusion

Failure analysis

Safety

Data fusion

Information technology

Instrument modeling

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