Rotating Machinery Condition Monitoring Methods for Applications with Different Kinds of Available Prior Knowledge

2021 ◽  
pp. 103-115
Author(s):  
Stephan Schmidt ◽  
P. Stephan Heyns
Keyword(s):  
Prior Knowledge ◽  
Condition Monitoring ◽  
Rotating Machinery ◽  
Monitoring Methods ◽  
Machinery Condition Monitoring

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.

scholarly journals Vibration Source Signal Separation of Rotating Machinery Equipment and Robot Bearings Based on Low Rank Constraint

2021 ◽  
Vol 11 (11) ◽  
pp. 5250
Author(s):  
Zhiyang He ◽  
Weidong Cheng ◽  
Jiqiang Xia ◽  
Weigang Wen ◽  
Meng Li
Keyword(s):  
Prior Knowledge ◽  
Condition Monitoring ◽  
Rotating Machinery ◽  
Industrial Robots ◽  
Separation Method ◽  
Signal Separation ◽  
Low Rank ◽  
Vibration Source ◽  
Source Signal ◽  
Source Signals

With the development of industrial robots and other mechanical equipment to a higher degree of automation, mechanical systems have become increasingly complex. This represents a huge challenge for condition monitoring. The separation of vibration source signals plays an important role in condition monitoring and fault diagnosis. The key to the separation method of the vibration source signal is prior knowledge, such as of the statistical features of the vibration source signal, the number of vibration sources, and so forth. However, effective prior knowledge is difficult to obtain in engineering applications. This study found that low rank is a common feature of rotating machinery vibration source signals. To address the problem of the difficulty obtaining the signal feature of a vibration source, the multi-low-rank constrained vibration source signal separation method was proposed. Its advantages and effectiveness have been verified through simulations and experimental tests. Compared with the blind source separation method of independent component analysis (BSS-ICA) and the ensemble empirical mode decomposition (EEMD) methods, it obtained better clustering results and higher signal-to-signal ratio (SSR) values.

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.

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