基于贝叶斯网络的TSW2500型短波发射机故障诊断方法  

Fault diagnosis method of TSW2500 shortwave transmitter based on Bayesian network

作　　者：石珺磊 张军磊 Shi Junlei;Zhang Junlei(951 of the National Radio and Television Administration,PRC,Shijiazhuang 050400,China;Shijiazhuang Water Investment Group,Shijiazhuang 050051,China)

机构地区：[1]国家广播电视总局九五一台,河北石家庄050400 [2]石家庄水投集团,河北石家庄050051

出　　处：《无线互联科技》2024年第4期43-45,共3页Wireless Internet Technology

摘　　要：文章提出了一种基于贝叶斯网络的短波发射机故障诊断方法,通过采集TSW2500型短波发射机的故障数据,并结合已知的故障信息和系统知识构建故障诊断模型,以快速、准确地识别可能出现的故障。实验结果表明,与传统方法相比,基于贝叶斯网络的方法能够更快速地识别故障并提供有用的诊断信息,具有较高的可行性和准确性。这种方法在实际应用中有望帮助工程师迅速定位和解决短波发射机故障,提高设备可靠性和维护效率,具有重要的应用价值。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.

关 键 词：贝叶斯网络 短波发射机 故障诊断 数据采集 

分 类 号：D26.4[政治法律—政治学]