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7 September 2022 Fault analysis of explosion-proof indicator lights based on Weibull distribution and fault tree
Zhiyang Liu, Kaizhen Geng, Yanlong Wang, Aizhong Qin
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Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123293D (2022) https://doi.org/10.1117/12.2647157
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China
Abstract
For the failure data of a certain type of explosion-proof indicator lights, after the cumulative distribution function of twoparameter Weibull distribution was linearized, and the least square method was used to perform linear regression analysis on the failure data, shape parameters could be obtained, which show the fault mode of the indicator lights was poor heat dissipation; Through fault tree analysis to determine the bottom events one by one, it was found the failure was caused by poor heat dissipation; Then the failure indicator lights were dissembled to analyze the cause behind the failure deeply. Lastly, specific improvement measures were put forward in the paper.
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Zhiyang Liu, Kaizhen Geng, Yanlong Wang, and Aizhong Qin "Fault analysis of explosion-proof indicator lights based on Weibull distribution and fault tree", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123293D (7 September 2022); https://doi.org/10.1117/12.2647157
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KEYWORDS
Failure analysis
Analytical research
Light emitting diodes
Reliability
Electronic components
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