Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring
The process of implementing a damage detection strategy for aerospace, civil and mechanical engineering infrastructure is referred to as structural health monitoring (SHM). The authors' approach is to address the SHM problem in the context of a statistical pattern recognition paradigm. In this...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2006-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2006/164382 |
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| _version_ | 1832554061391462400 |
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| author | Charles R. Farrar David W. Allen Gyuhae Park Steven Ball Michael P. Masquelier |
| author_facet | Charles R. Farrar David W. Allen Gyuhae Park Steven Ball Michael P. Masquelier |
| author_sort | Charles R. Farrar |
| collection | DOAJ |
| description | The process of implementing a damage detection strategy for aerospace, civil and mechanical engineering infrastructure is referred to as structural health monitoring (SHM). The authors' approach is to address the SHM problem in the context of a statistical pattern recognition paradigm. In this paradigm, the process can be broken down into four parts: (1) Operational Evaluation, (2) Data Acquisition and Cleansing, (3) Feature Extraction and Data Compression, and (4) Statistical Model Development for Feature Discrimination. These processes must be implemented through hardware or software and, in general, some combination of these two approaches will be used. This paper will discuss each portion of the SHM process with particular emphasis on the coupling of a general purpose data interrogation software package for structural health monitoring with a modular wireless sensing and processing platform. More specifically, this paper will address the need to take an integrated hardware/software approach to developing SHM solutions. |
| format | Article |
| id | doaj-art-089dc1393b9e48c7905742c5fbea6102 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2006-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-089dc1393b9e48c7905742c5fbea61022025-02-03T05:52:20ZengWileyShock and Vibration1070-96221875-92032006-01-01134-551953010.1155/2006/164382Coupling Sensing Hardware with Data Interrogation Software for Structural Health MonitoringCharles R. Farrar0David W. Allen1Gyuhae Park2Steven Ball3Michael P. Masquelier4Los Alamos National Laboratory, Engineering Sciences & Applications, MS T-001, Los Alamos, NM 87545, USALos Alamos National Laboratory, Engineering Sciences & Applications, MS T-001, Los Alamos, NM 87545, USALos Alamos National Laboratory, Engineering Sciences & Applications, MS T-001, Los Alamos, NM 87545, USAMotorola Labs, Los Alamos Research Park, 4200 West Jemez Road, Suite 300, Los Alamos, NM 87544, USAMotorola Labs, Los Alamos Research Park, 4200 West Jemez Road, Suite 300, Los Alamos, NM 87544, USAThe process of implementing a damage detection strategy for aerospace, civil and mechanical engineering infrastructure is referred to as structural health monitoring (SHM). The authors' approach is to address the SHM problem in the context of a statistical pattern recognition paradigm. In this paradigm, the process can be broken down into four parts: (1) Operational Evaluation, (2) Data Acquisition and Cleansing, (3) Feature Extraction and Data Compression, and (4) Statistical Model Development for Feature Discrimination. These processes must be implemented through hardware or software and, in general, some combination of these two approaches will be used. This paper will discuss each portion of the SHM process with particular emphasis on the coupling of a general purpose data interrogation software package for structural health monitoring with a modular wireless sensing and processing platform. More specifically, this paper will address the need to take an integrated hardware/software approach to developing SHM solutions.http://dx.doi.org/10.1155/2006/164382 |
| spellingShingle | Charles R. Farrar David W. Allen Gyuhae Park Steven Ball Michael P. Masquelier Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring Shock and Vibration |
| title | Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring |
| title_full | Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring |
| title_fullStr | Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring |
| title_full_unstemmed | Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring |
| title_short | Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring |
| title_sort | coupling sensing hardware with data interrogation software for structural health monitoring |
| url | http://dx.doi.org/10.1155/2006/164382 |
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