NDLI: Data mining technique of Acoustic Emission signals under supervised and unsupervised mode

Content Provider	IEEE Xplore Digital Library
Author	Feifei Long Haifeng Xu
Copyright Year	2011
Description	Author affiliation: Mechanical Science and Engineering College, Northeast Petroleum University, Daqing City, Heilongjiang Province, China (Feifei Long; Haifeng Xu)
Abstract	Acoustic Emission (AE) can be used to discriminate the different types of damage occurring in a constrained metal material. However, the main problem associated with data analysis is the discrimination between the different acoustic emission sources, especially in a high-noise/interference environment. In this paper, cluster analysis, an important tool for investigating and interpreting data, was used to extract crack related signals from noise. More over, different kinds of noise signals were also classified successfully. On the basis of clustering analysis, the training samples quality of BP neural network was improved, also was the result of training. Well trained BP neural network has potential for a continuous on-line monitoring procedure to distinguish the initiation of severe damage from the AE signal even in a high-noise/ interference environment.
Starting Page	752
Ending Page	755
File Size	299274
Page Count	4
File Format	PDF
ISBN	9781424499502
ISSN	21579563
e-ISBN	9781424499533
DOI	10.1109/ICNC.2011.6022155
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training BP neural network Noise Clustering algorithms Acoustic emission k-means Feature extraction clustering Pattern recognition pattern recognize
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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