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  Solutions: MTS

 

Mahalanobis-Taguchi System (MTS) provides a systematic method to evaluate and optimize a Multi-Variable Diagnosis or Pattern Recognition System. To use the system, data must be available on a "normal" or "healthy" group of items and an "unhealthy" or "abnormal" group of items. The abnormal items may be further classified into subgroups based on the severity of the type of abnormality. A Mahalanobis distance (MD) measure based on a set of descriptive variables for the items is used to separate normal and abnormal items. If it can be established that such an MD measure exists, the number of variables is reduced (if possible) using Taguchi-type orthogonal arrays (OA) and signal-to-noise (S/N) ratios. The MD scale using these variables is used as the basis for diagnosis and forecasting.

 

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