电机故障加速度数据统计与分析摘 要随着科技的进展，越来越多的领域涉与到电机，例如交通、生产、建筑等。当然，电机的普与使用也使电机故障日益增多，其故障原因也日渐复杂。如何快速有效地检测电机所发生的故障也成为了某些领域的讨论热点。 电机运转的振动信号包含了很多丰富的信息，这就是我们能获得电机信息的最有效途径。同时，这些信号也成为了我们评判一台电机好坏的重要依据。本文主要对基于LABVIEW 测控平台所采集到的电机振动信号数据，然后结合 MATLAB 仿真软件对电机加速度信号进行处理和分析。利用傅里叶变换，和时频分析等方法进行对电机信号的分析，最终来推断电机的好坏和故障类型。关键词 电机故障；振动信号；MATLAB；傅里叶变换；时频分析 AbstractWith the development of science and technology, more and more areas involved in motor, such as transportation, production, construction etc. Of course, the motor is widely used to increase motor fault, the fault reasons are complex. How to quickly and effectively detect fault motor has also become a hot topic in some areas.The vibration signal of motor contains a lot of rich information, the most effective way is that we can obtain the information of the motor. At the same time, these signals has become an important basis for us to judge the quality of a motor. This paper focuses on the motor vibration signal measurement and control platform based on the LABVIEW data collected, and then combined with MATLAB simulation software for processing and analyzing the motor acceleration signal. Using Fu Liye transform and time-domain analysis methods to analyze the electrical signal to judge the quality of the final or motor and fault type.Keywordsmotor faultthe vibration signalMATLABFu Liye transformtime domain analysis目 录摘 要 IAbstractII第 1 章 绪论 11.1 本课题讨论的背景和意义 11.2 电机故障常见类型 11.3 电机振动（测试与参数）的相关标准 21.4 电机故障特点与测试常用方法 31.4.1 故...
