A Partial Robust M-Regression-Based Prediction and Fault Detection Method
Due to its simplicity and easy implementation, partial least squares (PLS) serves as an efficient approach in large-scale industrial process. However, like many data-based methods, PLS is quite sensitive to outliers, which is a common abnormal characteristic of the measured process data that can sig...
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Main Authors: | Jianfang Jiao, Jingxin Zhang, Hamid Reza Karimi |
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Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
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Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2014/304754 |
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