scholarly journals Design and Realization of Rotating Machinery Conditions Monitoring System Based on LabVIEW

2018 ◽  
Vol 2 (2) ◽  
pp. 49
Author(s):  
Qiyuan Fan

Abstract: Nonlinear dynamic analysis of rotating machinery system has always been the hot spot of the rotational dynamics research. This article sets up a rotating machinery condition monitoring system to realize the measurement of system dynamic characteristic parameters based on NI(National Instruments) virtual instruments technology. The measurement of vibration signal of rotating machinery system is achieved by using NI company general data acquisition module of NI Company. Meanwhile, by analyzing and processing the acquired data using LabVIEW 2012, the dynamic characteristics, such as .the speed of the rotating machinery system, the axis trajectory, spectrum parameters, are attained. The measurement results show that the rotating machinery condition monitoring system based on LabVIEW is easy to operate, easy to realize the function extension and maintenance, and that it can be used in the industrial engineering projects with rotation characteristics. LabVIEW as the development tools used by virtual instrument function is very powerful data acquisition software products support is one of the features of it, so using LabVIEW programming and data acquisition is simple and convenient.

2011 ◽  
Vol 474-476 ◽  
pp. 735-738
Author(s):  
Ya Jun Fan ◽  
Yu Guo ◽  
Chuan Hui Wu

In order to change the current status that machine condition monitoring system is only generally applied to key equipments of large-scaled and high-end business, a low-cost mini condition monitoring system of rotating machinery based on LabVIEW is proposed and designed in this paper. The system is not only of advantages of lower cost, stronger expandability and higher applicability, but also changes the condition that current systems emphasize too much on the comprehensiveness, universality and complexity. It is capable of meeting the wide range of condition monitoring of common rotating machinery, for faults diagnosis and predictive maintenance needs better, then, its potential application can be foreseen.


2011 ◽  
Vol 105-107 ◽  
pp. 2235-2238
Author(s):  
Zuo Chao Lv ◽  
Bai Jing Qiu ◽  
Yi Jun Fang

Data acquisition in fields, especially yield data acquisition, is an important step in precision agriculture.To obtain the yield information, a grain mass flow condition monitoring system is developed. which consists of impulse-type grain mass flow sensor, grain mass flow condition monitor, CPR transmitter and power supply component. The grain mass flow condition monitor collects data from grain mass flow sensor;displays and stores them after processing. On the basis of test rig experiments with wheat, wheat field experiments are finished in June 2010 .The experimental results show that the accuracy of this monitor syterm is within 3% in test rig experiments and within 5% in field experiments while the grain flow rate is 0~ 2 .5kg / s, which met the precision agriculture production accuracy.


Author(s):  
Thomas Van Hardeveld

Over the past few years, there has been accelerated development in predictive maintenance techniques such as condition monitoring. This paper describes the development of a condition monitoring system which monitors gas compression equipment for a major gas transmission company. A stand-alone system, featuring a data collector and PC-based software, was implemented first to allow for medium to longer-term trending. Subsequently, an on-line system has been developed to facilitate automatic acquisition of data and enhanced monitoring capabilities. Various diagnostic techniques have been included in both the stand-alone and on-line systems to aid in data interpretation and analysis.


2014 ◽  
Vol 898 ◽  
pp. 738-742
Author(s):  
Fan Qiu ◽  
Quan Liu ◽  
Jing Song Li ◽  
Fan Zhang

FBG (Fiber Bragg Grating) is especially suitable for the shafting operation condition monitoring of rotating machinery under the harsh working environment for a long time with its advantages of anti-electromagnetic interference, easy reuse, good stability, environmental adaptability and so on. The overall architecture of the shafting operation condition monitoring system based on FBG sensing network is proposed. In the system, FBG multi-channel distributed sensing network is used to fully apperceive the real-time operation condition information of the equipment. While the Windows Presentation Foundation (WPF) and 3-Dimensional Studio Max (3DMAX) technologies are used to realize the intuitive 3-Dimensional (3D) virtual display to monitor the equipment. Besides, the sensing information data stream is processed in real time to display the running state of the equipment. Also, mass sensing information is analyzed and stored by the real-time processing method. The stability and reliability of the proposed framework and key technology is verified by the system long-time implementation results.


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