【作者】 冯海涛；

【导师】 杨世锡； 严拱标；

【作者基本信息】 浙江大学 ， 机械制造及其自动化， 2002， 硕士

【摘要】 本论文结合浙江省自然科学基金项目“基于盲分离技术的机械噪声故障诊断研究”(5001004)，对机械噪声检测、诊断技术进行了探讨，分析了信号盲分离(BSS)技术及算法在故障诊断中的应用，并在此基础上进行了仿真实验研究；同时，论文还结合横向项目“多机组分布式监测与故障诊断系统”的研究与开发工作，分析了状态监测与故障诊断系统的功能与结构，并对其中的关键模块进行了实现。论文的主要内容如下： 第一章论述了机械故障监测与诊断领域的发展现状及趋势，分析了机械噪声诊断技术的原理及其国内外研究现状、存在的问题和发展趋势；针对机械噪声诊断技术存在的问题，在分析国内、外对信号盲处理的研究及应用现状的基础上，初步引入信号盲分离概念及模型。 第二章介绍了噪声的特性，提出了基本的噪声监测方法；在查阅了有关噪声测量标准的基础上，针对盲分离(BSS)技术的特点，设计机械噪声监测与故障诊断系统的方案。 第三章介绍了基于最小互信息量(MMI)的盲源分离理论及其算法，并用C++实现了该算法，对该算法进行了仿真研究，得到了令人满意的信号分离效果。 第四章分析了基于最大熵的盲源分离(ME)原理与算法，并将其与基于最小互信息量(MMI)算法进行比较；随后，应用多个实例进行仿真研究，对分离效果进行了分析。 第五章分析了机械故障诊断系统结构与功能，阐述了“多机组状态监测与故障诊断”网络系统的解决方案、软硬件功能与结构及其实现，并设计基于盲分离(BSS)技术的噪声监测诊断软件模块。 第六章总结全文的工作，指出信号盲分离技术的应用局限性及其改进方向；同时，分析了其他技术为辅助手段应用可能性，展望了机械噪声故障诊断系统的发展方向。更多还原

【Abstract】 Based on the "Study on Faulty Diagnosis over Mechanical Noises Based on Blind Source Separation"(Nature Science Fund Project of Zhejiang Province, No. 5001004), this paper researches on techniques of mechanical noises monitoring and fault diagnosis. Theory of Blind Source Separation and its application in the field of faulty diagnosis are analyzed, and some simulations are carried through. This paper also studies the structure and its important modules of the fault Monitoring and Diagnosis System for large rotating machinery, which was developed by our research group.In the first chapter, the developmental actuality and its trends in the field of fault monitoring and diagnosis on mechanicals are expressed. Principles and actuality inside and outside country of noises diagnosis on mechanicals are analyzed. Some problems of this method are issued. Then, the concept and mathematic model of BSS are introduced aimed at these problems. Some applications and research works inside and outside China are set forth.In the second chapter, the characteristics of noises are introduced. Some basic methods of supervision and monitoring are issued. On the basis of some guideline about measurement, the method of construction of faulty monitoring system on mechanical noises is brought forward aiming at requirement of BSS.In the third chapter, the article emphasized on the one of two kinds of mature BSS arithmetic, that is, BBS arithmetic based on Minimum Mutual Information. The flow chart of this arithmetic are given, and some simulations on imitate signals are worked out. Then, the results of BSS are expressed.In the fourth chapter, the other kind of BSS arithmetic, which is based on Maximum Entropy, are discussed. These two kinds of arithmetic are compared. After then, several simulations and results are demonstrated.In the fifth chapter, some research works are done on the system of faulty diagnosis. Precepts of monitoring and faulty diagnosis system on large rotary equipments are figure out. Its hardware configuration and software modules are discussed. The sub-system of BSS on faulty diagnosis over noises is designed briefly.In the last chapter, all of the works in this dissertation are summed up. Some limits and improvement in application of BSS are figured out. The future research of BSS on faulty diagnosis over mechanical noises is prospected.更多还原