A Comparison of the Mahalanobis-Taguchi System to A Standard Statistical Method for Defect Detection

نویسندگان
Cudney, Elizabeth A. ID 1
Drain, David ID 2
Paryani, Kioumars ID 3
Sharma, Naresh ID 4

1 Missouri University of Science and Technology, Rolla, Missouri 65409 USA

2 Missouri University of Science and Technology, Rolla, Missouri 65409 USA

3 Lawrence Technological University, Southfield, Michigan, 48075 USA

4 Missouri University of Science and Technology, Rolla, Missouri 65409 USA

doi
چکیده

The Mahalanobis-Taguchi System is a diagnosis and forecasting method for multivariate data. Mahalanobis distance is a measure based on correlations between the variables and different patterns that can be identified and analyzed with respect to a base or reference group. This paper presents a comparison of the Mahalanobis-Taguchi System and a standard statistical technique for defect detection by identifying abnormalities. The objective of this research is to provide a method for defect detection with acceptable alpha (probability of type I) and beta (probability of type II) errors.

کلیدواژه‌ها
Mahalanobis distance, Mahalanobis-Taguchi System, Multivariate, Diagnosis, Alpha (Probability of Type I) Error, Beta (Probability of Type II) error, Forecasting