舰船电力系统故障诊断综述  

A survey of marine power system fault diagnosis

作　　者：张海艳[1] 夏飞[1] 

机构地区：[1]中国舰船研究设计中心,湖北武汉430068

出　　处：《舰船科学技术》2010年第4期134-137,共4页Ship Science and Technology

摘　　要：故障诊断对于故障后的维护以及系统恢复,尤其是对舰船这种特殊结构的军用船只而言具有重要的意义。综述了舰船电力系统故障诊断的各种基本的研究方法,包括数学模型、专家系统、故障树、人工神经网络和数据融合技术等。分析了这些方法的特点并指出各个诊断方法的优缺点。最后,以实际应用为目标,指出了随着全船信息化时代的到来,舰船电力系统故障诊断领域所需解决的关键技术问题和主要的发展趋势,以促进该研究领域进一步向实用化以及深度和广度相结合的方向发展。Fault diagnosis have the significant meanings for the system maintenance and service restoration after system fault occurring,especially for marine,one kind of the warship with special configuration.The main methods for the marine power system fault diagnosis were summarized,including mathematical model,expert system,fault tree,artificial neural network and data fusion algorithm etc.The characteristics of such methods were analysis separately,the virtues and shortcomings of each method were pointed out.Finally,aiming at the application,with the coming of the information-based age on the ship,the key technologies to be settled and the main development trend in the field of marine power system fault diagnosis were introduced,which will to accelerate the farther development on the engineering application together with the depth and width on such research field.

关 键 词：舰船电力系统 故障诊断 专家系统 故障树 神经网络 

分 类 号：TM711[电气工程—电力系统及自动化]