Acoustical Source Tracing Using Independent Component Analysis and Correlation Analysis
Acoustical signals from mechanical systems reveal the operating conditions of mechanical components and thus benefit for machinery condition monitoring and fault diagnosis. However, the acoustical signals directly measured by the sensors in essential are the mixed signals of all the sources, and nor...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2015/571206 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832555467149148160 |
|---|---|
| author | Wei Cheng Zhousuo Zhang Jie Zhang Jiantao Lu |
| author_facet | Wei Cheng Zhousuo Zhang Jie Zhang Jiantao Lu |
| author_sort | Wei Cheng |
| collection | DOAJ |
| description | Acoustical signals from mechanical systems reveal the operating conditions of mechanical components and thus benefit for machinery condition monitoring and fault diagnosis. However, the acoustical signals directly measured by the sensors in essential are the mixed signals of all the sources, and normally it is very difficult to be used for source identification or operating feature extraction. Therefore, this paper studies the acoustical source tracing problem using independent component analysis (ICA) and identifies the sources using correlation analysis: the measured acoustical signals are separated into independent components by independent component analysis method, and thus all the independent information of all the sources is obtained; these independent components are identified based on the prior information of the sources and correlation analysis. Therefore, all the source information contained in the measured acoustical signals can be independently separated and traced, which can provide more purer source information for condition monitoring and fault diagnosis. |
| format | Article |
| id | doaj-art-5c72b569043347e69f1e8bd729b0f72f |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-5c72b569043347e69f1e8bd729b0f72f2025-02-03T05:48:09ZengWileyShock and Vibration1070-96221875-92032015-01-01201510.1155/2015/571206571206Acoustical Source Tracing Using Independent Component Analysis and Correlation AnalysisWei Cheng0Zhousuo Zhang1Jie Zhang2Jiantao Lu3State Key Laboratory for Manufacturing System Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory for Manufacturing System Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory for Manufacturing System Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaState Key Laboratory for Manufacturing System Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaAcoustical signals from mechanical systems reveal the operating conditions of mechanical components and thus benefit for machinery condition monitoring and fault diagnosis. However, the acoustical signals directly measured by the sensors in essential are the mixed signals of all the sources, and normally it is very difficult to be used for source identification or operating feature extraction. Therefore, this paper studies the acoustical source tracing problem using independent component analysis (ICA) and identifies the sources using correlation analysis: the measured acoustical signals are separated into independent components by independent component analysis method, and thus all the independent information of all the sources is obtained; these independent components are identified based on the prior information of the sources and correlation analysis. Therefore, all the source information contained in the measured acoustical signals can be independently separated and traced, which can provide more purer source information for condition monitoring and fault diagnosis.http://dx.doi.org/10.1155/2015/571206 |
| spellingShingle | Wei Cheng Zhousuo Zhang Jie Zhang Jiantao Lu Acoustical Source Tracing Using Independent Component Analysis and Correlation Analysis Shock and Vibration |
| title | Acoustical Source Tracing Using Independent Component Analysis and Correlation Analysis |
| title_full | Acoustical Source Tracing Using Independent Component Analysis and Correlation Analysis |
| title_fullStr | Acoustical Source Tracing Using Independent Component Analysis and Correlation Analysis |
| title_full_unstemmed | Acoustical Source Tracing Using Independent Component Analysis and Correlation Analysis |
| title_short | Acoustical Source Tracing Using Independent Component Analysis and Correlation Analysis |
| title_sort | acoustical source tracing using independent component analysis and correlation analysis |
| url | http://dx.doi.org/10.1155/2015/571206 |
| work_keys_str_mv | AT weicheng acousticalsourcetracingusingindependentcomponentanalysisandcorrelationanalysis AT zhousuozhang acousticalsourcetracingusingindependentcomponentanalysisandcorrelationanalysis AT jiezhang acousticalsourcetracingusingindependentcomponentanalysisandcorrelationanalysis AT jiantaolu acousticalsourcetracingusingindependentcomponentanalysisandcorrelationanalysis |