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8 channel vibration monitoring and analyzing system using LabVIEW

机译:8使用LabVIEW的通道振动监测和分析系统

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The prime objective of this paper is to present prompt 8 channel vibration monitoring and analyzing system using prevailing LabVIEW tools. Vibration measurement is very needful in mechanical and electrical industries to check the machine health & to take predictive maintenance steps before failure or major fault occur. A system based on virtual instrument is introduced that can measure vibration signals. The hardware-developing of the system includes vibration sensors, a signal conditioning circuit cum sensor exciter, a data acquisition device and a PC. Here for research, we are implementing vibration sensor on cantilever beam type arrangement and analyzing vibration signal using signal processing technique in LabVIEW. This methodology relies on the use of advanced methods for machine vibration analysis and health monitoring. Because of some issues encountered regarding traditional methods, for Fourier analysis of non stationary rotating machines the use of more advanced method using powerful software is required. FFT is a very powerful tool in frequency domain for analysis of vibration signal and it provides the information at which frequency the fault occurs? And according to that information we also predict the speed of rotating machine. For FFT analysis; it is necessary to convert vibration data (dynamic data 100mv/g) into EUs (Engineering Units) like acceleration, Velocity and displacement. Here we did the same. The main advantage of vibration monitoring with propose system is that it enables simultaneous monitoring of a number of machines of industries located at different places from a common point. The paper presents a scientific direction and development of vibration signals measurement.
机译:本文的主要目的是呈现出色的8通道振动监测和分析系统,使用普遍的LabVIEW工具。振动测量在机电行业中非常需要检查机器健康,并在发生故障或重大故障之前采取预测的维护步骤。介绍了一种基于虚拟仪器的系统,可以测量振动信号。系统的硬件开发包括振动传感器,信号调节电路CUM CUM传感器激励器,数据采集设备和PC。这里用于研究,我们在悬臂梁式布置上实施振动传感器,并在LabVIEW中使用信号处理技术分析振动信号。该方法依赖于使用先进的机器振动分析和健康监测方法。由于关于传统方法遇到的一些问题,对于非静止旋转机器的傅立叶分析,需要使用强大的软件使用更先进的方法。 FFT是频域中的一个非常强大的工具,用于分析振动信号,它提供了发生故障的频率的信息?根据该信息,我们还预测了旋转机器的速度。用于FFT分析;有必要将振动数据(动态数据100mV / g)转换为EUS(工程单位),如加速,速度和位移。在这里我们做了同样的事情。振动监测与提出系统的主要优点是它能够同时监控位于常见点的不同地方的许多行业机器。本文提出了一种科学方向和振动信号测量的发展。

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