Fault diagnosis method of TSW2500 shortwave transmitter based on Bayesian network
This article proposes a Bayesian network-based method for diagnosing faults in shortwave transmitters.The method collects fault data from the TSW2500 model and combines it with known fault information and system knowledge to quickly and accurately identify potential faults.Experimental results show that compared to traditional methods,the Bayesian network-based method can identify faults faster and provide useful diagnostic information with higher feasibility and accuracy.This method is expected to help engineers quickly locate and resolve faults in shortwave transmitters,improving equipment reliability and maintenance efficiency,and has important practical applications.
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