First , several methods of processing traditional digital signal applied in the machine fault diagnosis are discussed in the paper . then it turns to the analysis on time and frequency , to the different sound signals of a rolling piston radial pump , under both in normal and abnormal conditions 首先讨论了机械设备故障诊断中所需的传统数字信号处理的几种方法,然后对一台柱塞泵在泄漏故障和正常状态下的声音信号进行了时、频域内的分析。
Application of emd and wavelet transform to diagnosis machine fault in this paper a signal singularity detection method is introduced , with which the signal is decomposed into imfs ( intrinsic mode function ) by the emd ( empirical mode decomposition ) and the singularity of the imfs is extracted by the wavelet transform 利用emd方法和小波变换进行机械故障诊断本文采用经验模式分解( emd )与小波变换相结合的方法分析非平稳机械故障信号的奇异性,进行机械故障诊断。
Compared with the performance of the two models , this paper selects the fit one for loading machine fault diagnosis . finally it designs and implements a software system named loading machine fault diagnosis system , its function includes data collection 、 signal preprocess 、 fault extraction 、 fault diagnosis 、 neural network training 、 knowledge management and user management 在此基础上,论文设计并实现了装载机故障诊断系统,其功能主要包括:数据采集、信号预处理、故障特征提取、故障诊断、神经网络训练、知识库管理和用户管理。
This paper research on loading machine fault diagnosis based on neural network . its purpose is to promote the high - tech content and market competition ability of loading machine through loading machine fault diagnosis using loading machine signal process 、 fault feature extraction and neural network . this paper begins with the analyzing of existing methods for fault diagnosis and their advantages and disadvantages 本文研究基于神经网络的装载机故障诊断的问题,其目的就是通过装载机信号处理,提取装载机现场工作信息中的故障特征,由神经网络模型来诊断装载机故障,以此增加装载机技术含量,提高其市场竞争力。
Based on the " research on the new method for rotating machine faults diagnosis based on independent component analysis " ( national nature science fund project , no : 50205025 ) and " study on the new method of corba - based distributed calculation tactics construction in remote condition monitoring and diagnosis " ( zhejiang province nature science fund project , no : 501061 ) , this paper aimed to the rotating machinery faults diagnosis oriented time - frequency analysis . the emd - based basic theories and methods were studied ; to weaken the emd method ' s end effect , some new data extention means were proposed ; to improve the emd method ' s precision and efficiency , some new algorithms were proposed ; the emd based time - frequency analysis software was designed and developed ; a experiment system at the base of rotor test bed was built to study the ro tor faults diagnosis using the new time - frequency analysis method , then studed several typical faults 本文结合“基于独立分量分析的旋转机械故障诊断新方法的研究”国家自然科学基金项目( 50205025 )和“基于corba分布计算策略构建远程监诊的新方法研究”省自然科学基金项目( 501061 ) ,以面向大型旋转机械故障诊断的时频分析为目标,研究了该方法的基本原理和算法:针对其端点效应等不足,提出了新的数据延拓技术;针对emd算法的精度和速度上的不足,提出了新的改进算法;设计和开发了基于emd时频分析的软件系统;以模拟转子实验台为基础构建了实验系统,并进行了实验研究。