Research on equipment dynamic failure feature analysis method based on edge computing

Jingde Huang

doi:10.1117/12.2611395

22 October 2021 Research on equipment dynamic failure feature analysis method based on edge computing

Jingde Huang

Proceedings Volume 11928, International Conference on Image Processing and Intelligent Control (IPIC 2021); 119280C (2021) https://doi.org/10.1117/12.2611395
Event: International Conference on Image Processing and Intelligent Control (IPIC 2021), 2021, Lanzhou, China

Abstract

The statistical characteristics of industrial big data contain the dynamic failure information of equipment, which is related to the operation safety and maintenance performance of equipment, especially the randomness of recessive or intermittent faults, the instability of state and the uncertainty of duration, which are the key factors leading to the changeable abnormal state and sudden failure of equipment, and are difficult to detect and diagnose. Therefore, aiming at the industrial data source fusion technology, this paper analyzes the information allosteric effect of unit structure visual image, and explores the physical meaning and identification method of characteristic parameter representation of equipment unit structure visual strain image; it is helpful to improve the recognition accuracy of hidden or intermittent fault features of equipment by optimizing the algorithm of fault feature recognition based on edge computing and clarifying the key theoretical problems of dynamic fault feature recognition and prediction algorithm based on edge computing. The above research has laid a theoretical foundation and technical support for improving equipment reliability level and ensuring safe operation and maintenance efficiency, and has important social benefits and engineering practical value.

Citation Download Citation

Jingde Huang "Research on equipment dynamic failure feature analysis method based on edge computing", Proc. SPIE 11928, International Conference on Image Processing and Intelligent Control (IPIC 2021), 119280C (22 October 2021); https://doi.org/10.1117/12.2611395

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KEYWORDS

Failure analysis

Statistical analysis

Data modeling

Signal detection

Data processing

Image visualization

Feature extraction

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