高技术通讯2011，Vol.21Issue(12)：1305-1311,7.DOI:10.3772/j.issn.1002-0470.2011.12.014
设备状态智能诊断模型的自更新机制及其UML建模
A mechanism for self-updating of the intelligent diagnostic model for machine condition monitoring and its modeling based on UML
摘要
Abstract
A mechanism for self-updating of an intelligent diagnostic model for machine condition monitoring is proposed and modeled with the unified modeling language ( UML) to overcome the common problem that the historical sample space is always limited when building the intelligent diagnostic model. A framework for implementing such a mechanism is also presented. The mechanism is based on the common procedure in building an intelligent diagnostic model. The underlying idea is to update the intelligent diagnostic model with the monitored data under a new machine condition. An initial diagnostic model built with the limited historical sample space is about to be updated with the monitored data under a new machine condition when the current intelligent diagnostic model is detected not competent for the diagnosing tasks of the new machine condition. Finally, the proposed mechanism is verified by applying it to a bearing condition monitoring example.关键词
设备状态监测/基于状态的维护(CBM)/故障诊断/智能诊断模型/自更新Key words
machine condition monitoring/condition-based maintenance (CBM)/fault diagnosis/intelligent diagnostic model/self-updating引用本文复制引用
刘海宁,段斌华,李楠,刘成良..设备状态智能诊断模型的自更新机制及其UML建模[J].高技术通讯,2011,21(12):1305-1311,7.基金项目
国家科技重大专项(2009ZX04014-103),国家自然科学基金项目(61175038),机械系统与振动国家重点实验室课题(MSVMS201103)及上海市科委项目(11JC1405800,11dz1121500)资助. （2009ZX04014-103）
