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The self-diagnosis function is one of main research contents of smart structures. And it is the foundation of other functions realization of smart structures. Aiming at the localization of present structural damage detection methods and the virtue of Least Square Support Vector Machine arithmetic, Least Square Support Vector Machine (LS-SVM) used to detect damages in fiber smart structures was proposed...
In this paper, a novel approach combining kernel principal component analysis (KPCA) and least square support vector machine (LSSVM) is proposed for HVAC fan machinery status monitoring and fault diagnosis, which combines KPCA for fault feature extraction and multiple SVMs (MSVMs) for identification of different fault sources. KPCA is used as a preprocessor of LSSVM, which maps the original input...
Vibrational spectroscopy (Raman and FTIR microspectroscopy) is an attractive modality for the analysis of biological samples since it provides a complete non-invasive acquisition of the biochemical fingerprint of the sample. Studies in our laboratory have applied vibrational spectroscopy to the analysis of biological function in response to external agents (chemotherapeutic drugs, ionising radiation,...
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