Blind Source Separation Applied to Rotating Machine Monitoring and Fault Detection

2001 ◽  
Vol 32 (9) ◽  
pp. 11-16 ◽  
Author(s):  
Guillaume Gelle ◽  
Maxime Colas
Keyword(s):  
Fault Detection ◽  
Blind Source Separation ◽  
Source Separation ◽  
Processing Technique ◽  
Fault Detection And Diagnosis ◽  
Vibration Monitoring ◽  
Rotating Machine ◽  
Machine Monitoring ◽  
Pre Treatment ◽  
Detection And Diagnosis

This article presents a processing technique called “Blind Source Separation” initially developed for telecommunication applications and now applied to vibration monitoring of mechanical systems. Experimental results illustrate the potential of blind source separation as a pre-treatment to free the signal from its environment (denoising), so as to improve fault detection and diagnosis. An example of bearing faults detection on an experimental test bench is presented.

Rotating Machine Monitoring Based on Blind Source Separation of Correlated Source Signals

2013 ◽  
Vol 321-324 ◽  
pp. 1299-1302
Author(s):  
Ning Li ◽  
Hai Ting Chen ◽  
Shao Peng Liu
Keyword(s):  
Signal Processing ◽  
Blind Source Separation ◽  
Cross Correlation ◽  
Source Separation ◽  
Processing Technique ◽  
Test Stand ◽  
Signal Processing Technique ◽  
Rotating Machine ◽  
Machine Monitoring ◽  
Source Signals

Blind source separation (BSS) which separate the unknown sources from the observed signals is a new signal processing technique. The most methods for solving this problem rely on assumptions of independence or uncorrelation of source signals at least. However, the observed signal is always interfered by signals with common frequency in the rotating machine, and difficult to be separated by the conventional BSS method. In this paper, it is proved that the source signals with common frequencies are correlative, and the separating error brought by the cross-correlation of the source signals is analyzed. A new separating method for the correlated source signals with frequency overlapping is presented and it is successfully applied to separate the monitoring signals of rotor test stand.

Design of a Wireless Sensor Node for Vibration Monitoring of Industrial Machinery

2016 ◽  
Vol 6 (2) ◽  
pp. 639 ◽  
Author(s):  
Alaa Abdulhady Jaber ◽  
Robert Bicker
Keyword(s):  
Fault Detection ◽  
Condition Monitoring ◽  
Industrial Robot ◽  
Industrial Applications ◽  
Base Station ◽  
Fault Detection And Diagnosis ◽  
Vibration Monitoring ◽  
Wireless Sensor Node ◽  
Vibration Signal Analysis ◽  
Detection And Diagnosis

Machine healthy monitoring is a type of maintenance inspection technique by which an operational asset is monitored and the data obtained is analysed to detect signs of degradation, diagnose the causes of faults and thus reducing the maintenance costs. Vibration signals analysis was extensively used for machines fault detection and diagnosis in various industrial applications, as it respond immediately to manifest itself if any change is appeared in the monitored machine. However, recent developments in electronics and computing have opened new horizons in the area of condition monitoring and have shown their practicality in fault detection and diagnosis processes. The main aim of using wireless embedded systems is to allow data analysis to be carried out locally at field level and transmitting the results wirelessly to the base station, which as a result will help to overcome the need for wiring and provides an easy and cost-effective sensing technique to detect faults in machines. So, the main focuses of this research is to design and develop an online condition monitoring system based on wireless embedded technology that can be used to detect and diagnose the most common faults in the transmission systems (gears and bearings) of an industrial robot joints using vibration signal analysis.

scholarly journals Design of a Wireless Sensor Node for Vibration Monitoring of Industrial Machinery

2016 ◽  
Vol 6 (2) ◽  
pp. 639
Author(s):  
Alaa Abdulhady Jaber ◽  
Robert Bicker
Keyword(s):  
Fault Detection ◽  
Condition Monitoring ◽  
Industrial Robot ◽  
Industrial Applications ◽  
Base Station ◽  
Fault Detection And Diagnosis ◽  
Vibration Monitoring ◽  
Wireless Sensor Node ◽  
Vibration Signal Analysis ◽  
Detection And Diagnosis

Machine healthy monitoring is a type of maintenance inspection technique by which an operational asset is monitored and the data obtained is analysed to detect signs of degradation, diagnose the causes of faults and thus reducing the maintenance costs. Vibration signals analysis was extensively used for machines fault detection and diagnosis in various industrial applications, as it respond immediately to manifest itself if any change is appeared in the monitored machine. However, recent developments in electronics and computing have opened new horizons in the area of condition monitoring and have shown their practicality in fault detection and diagnosis processes. The main aim of using wireless embedded systems is to allow data analysis to be carried out locally at field level and transmitting the results wirelessly to the base station, which as a result will help to overcome the need for wiring and provides an easy and cost-effective sensing technique to detect faults in machines. So, the main focuses of this research is to design and develop an online condition monitoring system based on wireless embedded technology that can be used to detect and diagnose the most common faults in the transmission systems (gears and bearings) of an industrial robot joints using vibration signal analysis.

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