Development of a Condition Monitoring system for tidal stream generators rotating components combining Acoustic Emission and vibration analysis

2015 ◽  
pp. 341-346
Author(s):  
Juan Chacon ◽  
Vassilios Kappatos ◽  
Cem Selcuk ◽  
Antonio Romero ◽  
Jesus Jimenez ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Vibration Analysis ◽  
Tidal Stream ◽  
Condition Monitoring System

Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling

2014 ◽  
Vol 255 ◽  
pp. 121-134 ◽  
Author(s):  
Qun Ren ◽  
Marek Balazinski ◽  
Luc Baron ◽  
Krzysztof Jemielniak ◽  
Ruxandra Botez ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Tool Condition Monitoring ◽  
Tool Condition ◽  
Condition Monitoring System

A Method of Training Technical Condition Monitoring Systems in Construction

2021 ◽  
Vol 27 (7) ◽  
pp. 350-358
Author(s):  
V. A. Kats ◽  
◽  
A. A. Volkov ◽  
Keyword(s):  
Acoustic Emission ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Accurate Estimate ◽  
Technical Condition ◽  
Monitoring Systems ◽  
Technical Diagnostics ◽  
Hazard Class ◽  
Condition Monitoring System ◽  
Current Monitoring

Technical condition estimation of the constructions is a relevant problem. In order to acquire comprehensive information of the testing object monitoring should be complex, providing effective and accurate estimate of the hazard class of the defects and forecasting its failure. Most of the current monitoring systems are based on acquiring and handling diagnostic via acoustic emission (AE) method. However, importantly, parameters of the acoustic emission propagated by defects depend on multiple factors such as type of the defect and its origin and the presence of noise on the testing object during data acquisition. In this regard, the problem of training the technical condition monitoring system is particularly important. In current work, we proposed a training method of monitoring systems for technical diagnostics of the constructions based on four subsequent stages: features extraction from AE data on two-time scales, features' dimensionality reduction, outliers detection and anomalies detection. Proposed method provides trained model for the detection of defects evolution in the building constructions. It has been tested on real constructions of the oil reservoir. The verification of the proposed method was provided by estimation of the accuracy metric of the trained model. Based on cross-validation, the mean error was 1.4 %. This confirms that proposed method can be effectively utilized as a part of technical condition monitoring system for more accurate forecasting hazard class of the defects and their evolution inside constructions.

An experimental investigation into the detection of internal leakage of gases through valves by vibration analysis

1997 ◽  
Vol 211 (3) ◽  
pp. 195-207 ◽  
Author(s):  
G Thompson ◽  
G Zolkiewski
Keyword(s):  
Experimental Investigation ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Vibration Analysis ◽  
Empirical Relationship ◽  
Internal Diameter ◽  
Widespread Application ◽  
Valve Leakage ◽  
Condition Monitoring System

The theme of the paper is the detection of through-valve leakage by vibration analysis. Experiments have been performed which demonstrate that a valve leaking internally excites the downstream pipework at particular frequencies in the range below 20 kHz. Several frequencies are excited. However, of note is that certain frequencies appear to depend only on the internal diameter of the pipe and the properties of the gas leaking through the valve. The results of extensive experiments are presented and an empirical relationship is suggested to predict the frequencies excited by the leakage. Thus, there is potential for the use of this method in a valve condition monitoring system to augment the range of methods presently available, none of which find widespread application.

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