@article{20152500960701 ,
language = {English},
copyright = {Compilation and indexing terms, Copyright 2023 Elsevier Inc.},
copyright = {Compendex},
title = {Statistical Pattern-Based Assessment of Structural Health Monitoring Data},
journal = {Mathematical Problems in Engineering},
author = {Islam, Mohammad S. and Bagchi, Ashutosh},
volume = {2014},
year = {2014},
issn = {1024123X},
abstract = {In structural health monitoring (SHM), various sensors are installed at critical locations of a structure. The signals from sensors are either continuously or periodically analyzed to determine the state and performance of the structure. An objective comparison of the sensor data at different time ranges is essential for assessing the structural condition or excessive load experienced by the structure which leads to potential damage in the structure. The objectives of the current study are to establish a relationship between the data from various sensors to estimate the reliability of the data and potential damage using the statistical pattern matching techniques. In order to achieve these goals, new methodologies based on statistical pattern recognition techniques have been developed. The proposed methodologies have been developed and validated using sensor data obtained from an instrumented bridge and road test data from heavy vehicles. The application of statistical pattern matching techniques are relatively new in SHM data interpretation and current research demonstrates that it has high potential in assessing structural conditions, especially when the data are noisy and susceptible to environmental disturbances.<br/> &copy; 2014 Mohammad S. Islam and Ashutosh Bagchi.},
key = {Structural health monitoring},
keywords = {Pattern matching;},
note = {Critical location;Data interpretation;Environmental disturbances;High potential;Statistical pattern;Statistical pattern recognition;Structural condition;Structural health monitoring (SHM);},
URL = {http://dx.doi.org/10.1155/2014/926079},
}

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Islam and Ashutosh Bagchi.","key":"20152500960701","keywords":"Pattern matching;","note":"Critical location;Data interpretation;Environmental disturbances;High potential;Statistical pattern;Statistical pattern recognition;Structural condition;Structural health monitoring (SHM);","url":"http://dx.doi.org/10.1155/2014/926079","bibtex":"@article{20152500960701 ,\nlanguage = {English},\ncopyright = {Compilation and indexing terms, Copyright 2023 Elsevier Inc.},\ncopyright = {Compendex},\ntitle = {Statistical Pattern-Based Assessment of Structural Health Monitoring Data},\njournal = {Mathematical Problems in Engineering},\nauthor = {Islam, Mohammad S. and Bagchi, Ashutosh},\nvolume = {2014},\nyear = {2014},\nissn = {1024123X},\nabstract = {In structural health monitoring (SHM), various sensors are installed at critical locations of a structure. The signals from sensors are either continuously or periodically analyzed to determine the state and performance of the structure. 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