Application of sensor fusion and signal classification techniques in a distributed machinery condition monitoring system

2000 ◽  
Author(s):  
Karl M. Reichard ◽  
Mike Van Dyke ◽  
Ken Maynard
Keyword(s):  
Monitoring System ◽  
Sensor Fusion ◽  
Condition Monitoring ◽  
Signal Classification ◽  
Classification Techniques ◽  
Machinery Condition Monitoring ◽  
Condition Monitoring System

The Development of a Machinery Condition Monitoring System for Gas Transmission

1989 ◽  
Author(s):  
Thomas Van Hardeveld
Keyword(s):  
Monitoring System ◽  
Condition Monitoring ◽  
Data Interpretation ◽  
Diagnostic Techniques ◽  
Line System ◽  
Machinery Condition Monitoring ◽  
Gas Compression ◽  
On Line ◽  
Maintenance Techniques ◽  
Condition Monitoring System

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.

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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