Design about Monitoring and Diagnosis System Structure of Rotating Machinery Based on LabVIEW

2011 ◽  
Vol 383-390 ◽  
pp. 1792-1796 ◽  
Author(s):  
Yan Jun Lu ◽  
Ying Liu
Keyword(s):  
Condition Monitoring ◽  
Virtual Instrument ◽  
Rotating Machinery ◽  
System Structure ◽  
Diagnosis System ◽  
Main Research ◽  
Object A ◽  
Monitoring And Diagnosis ◽  
Machinery Condition Monitoring ◽  
High Degree

Rotating machinery becomes more and more large and complex, increasingly high degree of automation. Rotating machinery fault could easily lead to heavy losses. Therefore, the requirements of monitoring and diagnosis systems are increasing high. In this paper, the superiority of the application of virtual instrument on condition monitoring and diagnosis system building in the industrial production is described. And then, the rotor system as the main research object, a rotating machinery condition monitoring and diagnosis system is built by using Virtual Instrument technology. At the same time, the structure of the condition monitoring and diagnosis system is discussed. Besides, data acquisition process and fault features recognition method are discussed as well. Finally, the correctness and accuracy of fault detection are verified by means of experiments.

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

2018 ◽  
Vol 2 (2) ◽  
pp. 49
Author(s):  
Qiyuan Fan
Keyword(s):  
Data Acquisition ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Virtual Instrument ◽  
Hot Spot ◽  
Nonlinear Dynamic Analysis ◽  
Rotating Machinery ◽  
Machinery Condition Monitoring ◽  
Condition Monitoring System ◽  
Machinery System

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.

Remote Condition Monitoring and Diagnosis Technology for Rotating Tower of Continuous Casting Machine

2012 ◽  
Vol 462 ◽  
pp. 850-854
Author(s):  
Quan Sheng Jiang ◽  
Hua Rong Li
Keyword(s):  
Continuous Casting ◽  
Condition Monitoring ◽  
Continuous Casting Machine ◽  
Casting Machine ◽  
Diagnostic Technique ◽  
Reliable Operation ◽  
Diagnosis System ◽  
Monitoring And Diagnosis ◽  
Steel Making ◽  
Key Techniques

To meet the requirement of condition monitoring and fault diagnosis for the rotating tower of continuous casting machine (RTCCM) in a steel-making plant, the technology of remote monitoring and diagnosis system (RMDS) for RTCCM is developed in the paper. The architecture of the system is presented, and the key techniques in the system implementation are discussed in detail, including the B/S structure, Java technique and Web diagnostic technique. The developed RMDS can implement truly portability and provide a good solution for designing a remote diagnosis system based on network environment. The outcome of locale running indicates that the system possesses complete function with reliable operation and friendly consumer interface.

scholarly journals Equipment Condition Monitoring and Diagnosis System Based on Evidence Weight

2018 ◽  
Vol 14 (02) ◽  
pp. 143 ◽  
Author(s):  
Xuemei Yao ◽  
Shaobo Li ◽  
Ansi Zhang
Keyword(s):  
Condition Monitoring ◽  
Fusion Rule ◽  
Original Data ◽  
Prototype System ◽  
Centrifugal Pumps ◽  
Fusion Algorithm ◽  
Diagnosis System ◽  
Monitoring And Diagnosis ◽  
Safety And Reliability ◽  
Basic Probability

To ensure the safety and reliability of equipment and effectively prevent the occurrence of major accidents, a monitoring and diagnosis system of equipment condition is proposed in this paper. First, a perceptual model of four layers, which can collect the original data of equipment by sensors and analyze the real-time information with intelligent algorithms and display the decision making on the screen, is designed. Second, a method of condition monitoring and diagnosis based on evidence weight is proposed. The basic probability assignment of evidence is corrected by Mahalanobis distance and sensor weight. A threshold is introduced to select the appropriate fusion rule by comparing the relationship between threshold and conflict factor. In order to verify the effectiveness and practicability of the method, the improved fusion algorithm is applied to the monitoring and diagnosis of centrifugal pumps. Finally, a prototype system is implemented to illustrate the validity of the system in practice.

A New Cepstral Analysis Procedure of Recovering Excitations for Transient Components of Vibration Signals and Applications to Rotating Machinery Condition Monitoring

2001 ◽  
Vol 123 (2) ◽  
pp. 222-229 ◽  
Author(s):  
G. T. Zheng ◽  
W. J. Wang
Keyword(s):  
Condition Monitoring ◽  
Rotating Machinery ◽  
Analysis Procedure ◽  
Transient Signal ◽  
Rotor Vibration ◽  
Vibration Signals ◽  
Machinery Condition Monitoring ◽  
Cepstral Analysis ◽  
Cepstrum Analysis ◽  
Complex Cepstrum

A new cepstral analysis procedure with the complex cepstrum for recovering excitations causing multiple transient signal components from vibration signals, especially from rotor vibration signals, has been developed. Along with the problem of singularity, a major problem of the cepstrum is that it cannot provide a correct distribution of the excitations. To solve these problems, a signal preprocessing method, whose function is to provide a definition for the distribution of the excitations along the quefrency axis and remove singular points from the transform, has been added to the cepstrum analysis. With this procedure, a correct distribution of the excitations can be obtained. An example of application to the condition monitoring of rotor machinery is also presented.

Study on Networking and Intelligent Fault Diagnosis System for Large-Scale Rotating Machinery

2012 ◽  
Vol 588-589 ◽  
pp. 178-184
Author(s):  
Jie Liu ◽  
Fang Xia Hu
Keyword(s):  
Fault Diagnosis ◽  
Remote Monitoring ◽  
Large Scale ◽  
Online Monitoring ◽  
Rotating Machinery ◽  
Functional Modules ◽  
Mixed Structure ◽  
Diagnosis System ◽  
Monitoring And Diagnosis ◽  
Fault Diagnosis System

A networking and intelligent online monitoring and fault diagnosis system for large-scale rotating machinery is developed according to requirements of an iron & steel enterprise. On the aspect of networking, a mixed structure of C/S and B/S is adopted, and the system integrates local online monitoring and diagnosis, remote monitoring and diagnosis, and remote diagnosis center. On the aspect of intelligent diagnosis, a multi-symptom comprehensive parallel diagnosis technology is adopted based on expert system, neural network and fuzzy logic. Finally, main functional modules and its realization are introduced. Application shows that the system runs normally, and the expected objective is achieved.

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