基于贝叶斯网络的短波发射机故障诊断研究

Research on fault diagnosis of short-wave transmitter based on bayesian network

短波发射机作为短波通信的关键组成设备,在各装备平台上具有广泛的应用,其故障诊断技术对于各装备的短波通信保障能力具有重要意义。本文以贝叶斯网络为基础,建立短波发射机贝叶斯网络故障诊断模型并对其进行分析计算,推理得出导致故障出现的各因素发生概率,以便科学、有效地对故障进行诊断定位,为快速排故、提升设备故障修复效率提供有力支撑。

As a significant component of short-wave communication system,short-wave transmitter is widely used in various weapons and equipment.Its fault diagnosis technology is of great importance to the short-wave communication capability.Based on Bayesian network,this paper establishes a fault diagnosis model of short-wave transmitter.By analyzing the model,the occurrence probability of various factors leading to the occurrence of faults is deduced.This method is helpful for diagnosing and locating faults scientifically and effectively,and provides strong support for fast troubleshooting and repairing.