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旋转机械故障智能诊断系统研究

发表时间:2014-09-30  浏览量:1778  下载量:507
全部作者: 杨梅,陈思汉,余建波
作者单位: 上海大学机电工程与自动化学院;同济大学机械与能源工程学院
摘 要: 对大型旋转机械的实时状态监控、设备故障智能预诊、设备性能评估进行研究。开发了可有效进行数据分析处理的故障诊断算法工具箱,该工具箱包含大量时域、频域及时频域的计算分析算法。通过建立性能退化评估模型,在线分析设备运行过程中的状态参数信息,评估设备的性能衰退过程,实现对设备状态实时监控、健康状况评估、剩余寿命预测和维护计划管理等功能。并成功开发了一套集多传感信号处理、特征提取、性能评估与预测技术于一体的旋转设备智能预诊维护系统,并为进一步制定维护计划提供了重要的设备健康信息。
关 键 词: 机械制造自动化;旋转机械;故障诊断工具箱;性能评估;性能衰退预测
Title: Study of intelligent fault diagnosis system for rotating machinery
Author: YANG Mei, CHEN Sihan, YU Jianbo
Organization: School of Mechatronic Engineering and Automation, Shanghai University; School of Mechanical Engineering, Tongji University
Abstract: This paper aims to develop a monitoring and intelligent prognosis maintenance system for rotating machinery. Multilayer software hierarchical architecture-based designing scheme is adopted in this system. The key technique is the diagnosis toolbox including a large amount of time domain, frequency domain and time & frequency domain analysis algorithm which is used to realize condition-based monitoring, performance degradation assessment, performance degradation prediction and maintenance plan management. This research provides important equipment healthy information for further maintenance plan.
Key words: mechanical manufacturing and automation; rotating machinery; fault diagnosis toolbox; performance assessment; performance degradation prediction
发表期数: 2014年9月第18期
引用格式: 杨梅,陈思汉,余建波. 旋转机械故障智能诊断系统研究[J]. 中国科技论文在线精品论文,2014,7(18):1802-1816.
 
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