Using fault tree analysis to analyze disputes in the new generation weather radar

There are many difficulties in the daily maintenance and support process of the new generation weather radar. A fault tree analysis method is proposed, which combines the working principle of weather radar to construct a fault tree for the new generation weather radar and designs qualitative and quantitative analysis methods to further achieve fault diagnosis. According to this method, the probability and importance of failure occurrence are obtained, and based on specific examples, the probability of system failure P(T)=0.65 is calculated when the probability of underlying events occurring is 5%. This study indicates that radar fault diagnosis algorithms based on fault trees can effectively improve the quality of radar support, thereby pushing the highest probability of faulty component maintenance based on fault codes, and improving fault diagnosis efficiency.

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Published
2024-09-26
DOI
https://doi.org/10.1117/12.3044462
Primary Topic
Power Systems Fault Detection
Type
article
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article

Using fault tree analysis to analyze disputes in the new generation weather radar

LI Fen
Power Systems Fault Detection
article

Using fault tree analysis to analyze disputes in the new generation weather radar

LI Fen
article en

Abstract

There are many difficulties in the daily maintenance and support process of the new generation weather radar. A fault tree analysis method is proposed, which combines the working principle of weather radar to construct a fault tree for the new generation weather radar and designs qualitative and quantitative analysis methods to further achieve fault diagnosis. According to this method, the probability and importance of failure occurrence are obtained, and based on specific examples, the probability of system failure P(T)=0.65 is calculated when the probability of underlying events occurring is 5%. This study indicates that radar fault diagnosis algorithms based on fault trees can effectively improve the quality of radar support, thereby pushing the highest probability of faulty component maintenance based on fault codes, and improving fault diagnosis efficiency.

Ningxia Meteorological Bureau (CN)
Climate action
Openalex Percentile: Top 82%
Power Systems Fault Detection
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