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Accurate and effective fault detection and diagnosis of modern engineering systems is crucial for ensuring reliability, safety and maintaining the desired product quality. In this work, we propose an innovative method for detecting small faults in the highly correlated multivariate data. The developed method utilizes partial least square (PLS) method as a modelling framework, and the symmetrized Kullback-Leibler...
ETSIAT was employed in the quantitative structure-activity relationship (QSAR) modeling on the aliphatic alcohol toxicities to the Tetrahymena, tomato, spider, and bacterial luciferases et al.. The QSAR models were established by partial least squares and further validated by both internal and external validations. The results showed that ETSIAT can characterize the structural information relevant...
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