RETRACTED ARTICLE: Development and application of intensified envelope analysis for the condition monitoring system using acoustic emission signal

2014 ◽  
Vol 28 (11) ◽  
pp. 4431-4439 ◽  
Author(s):  
YoungSu An ◽  
DongSik Gu ◽  
JongMyeong Lee ◽  
JungMin Ha ◽  
YongHwi Kim ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Acoustic Emission Signal ◽  
Envelope Analysis ◽  
Emission Signal ◽  
Retracted Article ◽  
Condition Monitoring System

Acoustic Emission Signal Acquisition and Analysis on Tool Wear

2014 ◽  
Vol 621 ◽  
pp. 171-178
Author(s):  
Hui Yu Huang ◽  
Yang Hong
Keyword(s):  
Acoustic Emission ◽  
Tool Wear ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Acoustic Emission Signal ◽  
Cutting Tool ◽  
Signal Acquisition ◽  
Monitoring Methods ◽  
Damage State ◽  
Emission Signal

In the field of machinery manufacture, broken state at the time of the cutting tool in cutting metal, recognition has always been a study is of great significance. Currently, for the state of tool wear and collapse edge damage identification method already has a mature experience. However the existing condition monitoring methods are often used in accuracy and convenience has limitations, this paper USES the acoustic emission technology, as a kind of integrated online test sys tem design lay the foundation. This paper aimed at the sensor in the wireless transmission module, the performance characteristics of tool condition monitoring system of the main structure was designed, and then by acoustic emission signal from the cutting tool in cutting process as the research object, studies the cutting tool characteristics of acoustic emission signal under different damage state, for the on-line monitoring system design and calibration to provide theoretical support.

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

Acoustic Emission Signal Analysis and Artificial Intelligence Techniques in Machine Condition Monitoring and Fault Diagnosis: A Review

2014 ◽  
Vol 69 (2) ◽  
Author(s):  
Yasir Hassan Ali ◽  
Roslan Abd Rahman ◽  
Raja Ishak Raja Hamzah
Keyword(s):  
Artificial Intelligence ◽  
Acoustic Emission ◽  
Fault Diagnosis ◽  
Condition Monitoring ◽  
Acoustic Emission Signal ◽  
Signal Analysis ◽  
Machine Condition ◽  
Artificial Intelligence Techniques ◽  
Emission Signal ◽  
Machine Condition Monitoring

Acoustic Emission technique is a successful method in machinery condition monitoring and fault diagnosis due to its high sensitivity on locating micro cracks in high frequency domain. A recently developed method is by using artificial intelligence techniques as tools for routine maintenance. This paper presents a review of recent literature in the field of acoustic emission signal analysis through artificial intelligence in machine conditioning monitoring and fault diagnosis. Many different methods have been previously developed on the basis of intelligent systems such as artificial neural network, fuzzy logic system, Genetic Algorithms, and Support Vector Machine. However, the use of Acoustic Emission signal analysis and artificial intelligence techniques for machine condition monitoring and fault diagnosis is still rare. Although many papers have been written in area of artificial intelligence methods, this paper puts emphasis on Acoustic Emission signal analysis and limits the scope to artificial intelligence methods. In the future, the applications of artificial intelligence in machine condition monitoring and fault diagnosis still need more encouragement and attention due to the gap in the literature.

Research and Development of Acoustic Emission Signal Monitoring System for Hydraulic Turbine Cavitation

2012 ◽  
Vol 212-213 ◽  
pp. 1267-1270
Author(s):  
Zhong Liu ◽  
Shu Yun Zou ◽  
Feng Hua Jin ◽  
Zhi Cong Xie
Keyword(s):  
Acoustic Emission ◽  
Monitoring System ◽  
Acoustic Emission Signal ◽  
Low Frequency ◽  
Hydraulic Turbine ◽  
Francis Turbine ◽  
Test Results ◽  
Monitoring Methods ◽  
Emission Signal ◽  
Signal Monitoring

The existance of cavitation threatens hydraulic turbines’ safe and economical operation. Traditional caviation monitoring methods are inclined to be contaminated by low-frequency environmental disturbances and strong background noises. An acoustic emission signal monitoring system for hydraulic turbine cavitation is proposed. Its hardware and software configurations are described in details, as well as the main functional modules. The test results on an 8000 kW Francis turbine with cavitations in the draft tube have shown the merits of this proposed system.

Sign in / Sign up

Export Citation Format

Share Document