Acoustic Analysis Techniques for Condition Monitoring of Roller Bearings

2014 ◽  
Author(s):  
M. Entezami ◽  
R. Ellis ◽  
J. Tutcher ◽  
T. Kono ◽  
Z. Zhang ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Acoustic Analysis ◽  
Analysis Techniques ◽  
Roller Bearings

scholarly journals Remote acoustic analysis for tool condition monitoring

2019 ◽  
Vol 38 ◽  
pp. 840-847
Author(s):  
James Coady ◽  
Daniel Toal ◽  
Thomas Newe ◽  
Gerard Dooly
Keyword(s):  
Condition Monitoring ◽  
Acoustic Analysis ◽  
Tool Condition Monitoring ◽  
Tool Condition

The Effect of Wear Evolution on Vibration-based Fault Detection in Tapered Roller Bearings

2019 ◽  
Vol 9 (1) ◽  
pp. 18-23
Author(s):  
K Rabeyee ◽  
X Tang ◽  
F Gu ◽  
A D Ball
Keyword(s):  
Condition Monitoring ◽  
Rolling Element Bearings ◽  
Rolling Bearings ◽  
Roller Bearings ◽  
Fault Type ◽  
Rolling Element ◽  
Tapered Roller ◽  
Magnitude Variation ◽  
Tapered Roller Bearings ◽  
The Impact

Rolling element bearings (REBs) are typical tribological components used widely in rotating machines. Their failure could cause catastrophic damage. Therefore, condition monitoring of bearings has always had great appeal for researchers. Usually, the detection and diagnostics of incipient bearing faults are achieved by characterising the weak periodic impacts induced by the collision of defective bearing components. However, race wear evolution, which is inevitable in bearing applications, can affect the contact between bearing elements and races, thereby decreasing the impact magnitudes and impeding detection performance. In this paper, the effect of wear evolution on the condition monitoring of rolling bearings is firstly analysed based on internal clearance changes resulting from the wear effect. Then, an experimental study is ingeniously designed to simulate wear evolution and evaluate its influence on wellknown envelope signatures according to measured vibrations from widely used tapered roller bearings. The fault type is diagnosed in terms of two indices: the magnitude variation of characteristic frequencies and the deviation of such frequencies. The experimental results indicate a signature decrease with regard to wear evolution, suggesting that accurate severity diagnosis needs to take into account both the wear conditions of the bearing and the signature magnitudes.

scholarly journals Condition Monitoring for Roller Bearings of Wind Turbines Based on Health Evaluation under Variable Operating States

Energies ◽  
2017 ◽  
Vol 10 (10) ◽  
pp. 1564 ◽  
Author(s):  
Lei Fu ◽  
Yanding Wei ◽  
Sheng Fang ◽  
Xiaojun Zhou ◽  
Junqiang Lou
Keyword(s):  
Condition Monitoring ◽  
Wind Turbines ◽  
Health Evaluation ◽  
Roller Bearings

scholarly journals Mapping of the electromagnetic environment on the railway: Condition monitoring of signalling assets

2018 ◽  
Vol 234 (3) ◽  
pp. 246-256
Author(s):  
Alexander Knight-Percival ◽  
Christopher Johnson ◽  
Benjamin Richards ◽  
Scott Palmer ◽  
Nicholas Bowring
Keyword(s):  
Condition Monitoring ◽  
Detection System ◽  
Low Cost ◽  
Capital Outlay ◽  
Electromagnetic Environment ◽  
Analysis Techniques ◽  
Track Circuits ◽  
Condition Monitoring Systems ◽  
Advanced Analysis ◽  
Track Circuit

Conventional track circuit condition monitoring systems are fixed at the wayside, with each installation reporting on a single track circuit. In this work, we present a custom-built, sensitive, magnetic field detection system, which can be fitted to the underside of a rail vehicle. With this system installed, some characteristics of an operating track circuit can be monitored from the vehicle whilst it is in motion. By using appropriate analysis techniques, it is possible to identify the signatures of equipment relating to audio frequency track circuits, the topic of this work. Analysing the signatures of track circuit equipment demonstrated that there were clear differences between track circuit assets. By building on other research into the behaviours of failing track circuits, and continuing to conduct this research, the authors believe that it is possible, and beneficial, to perform condition monitoring of track circuits from low-cost equipment mounted on the train. Coupling this with advanced analysis techniques will allow predictive maintenance of track circuits with very little capital outlay.

Condition Monitoring and Diagnostics in Heavy-Duty Wheels: A First Experimental Approach

2009 ◽  
Author(s):  
Marco Malago` ◽  
Emiliano Mucchi ◽  
Giorgio Dalpiaz
Keyword(s):  
Condition Monitoring ◽  
Frequency Analysis ◽  
Experimental Approach ◽  
Heavy Duty ◽  
Time Frequency ◽  
Acoustic Data ◽  
Analysis Techniques ◽  
Set Up ◽  
Monitoring And Diagnostics ◽  
Systematic Control

This paper assesses and compares the effectiveness of different analysis techniques for fault detection and diagnostics in heavy-duty wheels by using vibro-acoustic data. Firstly, different defect types have been artificially created on the wheels, trying to replicate anomalies that could really happen within the manufacturing process. Hence, different sensors and test conditions have been tested in order to determine the set up that at the best highlights the anomalies of the wheels; moreover the Time Synchronous Average (TSA) has been computed to reduce measurement noise. Kurtosis statistical coefficient has been used to detect defect presence (condition monitoring step), whereas frequency analysis, time-frequency analysis and signal trend have been performed for identifying the type of defect (diagnosis step). Finally, the effectiveness and the limitations of the above-mentioned techniques and diagnostics procedures are compared and discussed in order to define a systematic control at the end of the production line.

Comparison of Electroglottographic and Acoustic Analysis of Pitch Perturbation

1992 ◽  
Vol 107 (5) ◽  
pp. 617-621 ◽  
Author(s):  
Gary R. LaBlance ◽  
Michael D. Maves ◽  
Theresa M. Scialfa ◽  
Claudia M. Eitnier ◽  
Karen F. Steckol
Keyword(s):  
Statistical Analysis ◽  
Vocal Fold ◽  
Acoustic Analysis ◽  
Acoustic Signals ◽  
Intrasubject Variability ◽  
Analysis Techniques ◽  
Vocal Fold Vibration ◽  
Cycle Variation ◽  
Equivalent Measure

Pitch perturbation is a measure of the cycle-to-cycle variation in vocal fold vibration. Perturbation can be assessed by means of electroglottographic or acoustic signals. The purpose of this study was to determine if these two analysis techniques are equivalent measures. The Laryngograph, an electroglottograph, and the Visi-Pitch, an acoustic analyzer, were used to measure pitch perturbation in 80 dysphonic subjects. Both instruments use Koike's formula to calculate relative average perturbation. While intrasubject variability appeared erratic, statistical analysis of intersubject data indicated that the two instruments provided an equivalent measure of pitch perturbation.

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