摘要
故障预报技术是近十年来发展起来的一种高技术,为提高复杂系统的可靠性和可维护性开辟了一条新的途径,但相关的研究成果还比较少.介绍了船艇柴油机运行状态监测故障预报系统的结构及各功能模块的设计,特别提出了船艇柴油机运行状态征兆值的提取、监测数据的逻辑运算与数值分析、故障预报的对比与判断以及系统学习机制的具体方法,以增强本系统的实用性.
Fault prediction is a kind of high technology developed in the past decade, which provides a new way to improve the reliability and maintainability of complex systems. But there are relatively fewer related results in this field. The mechanism and all functional modules of fault prediction system for monitoring the operation state of a watercraft diesel are iotroduced. In order to make the system more practical, we also introduce the extraction of operation symptom, the Boolean calculation and the numerical analysis of the monitored data, the comparison and judgment of fault prediction as well as some detailed schemes of learningmechanism for the system.
出处
《山东大学学报(工学版)》
CAS
2005年第3期9-12,共4页
Journal of Shandong University(Engineering Science)
基金
国家自然科学基金项目(60234010)
国家973计划资助项目(2002CB312200)
关键词
船艇
状态监测
故障预报
专家系统
watercraft
operation state monitoring
fault prediction
expert system