Quality-Related Fault Detection Approach Based on Orthogonal Signal Correction and Modified PLS

  title={Quality-Related Fault Detection Approach Based on Orthogonal Signal Correction and Modified PLS},
  author={Guang Wang and Shen Yin},
  journal={IEEE Transactions on Industrial Informatics},
Partial least squares (PLS) is an efficient tool widely used in multivariate statistical process monitoring. Since standard PLS performs oblique projection to input space X, it has limitations in distinguishing quality-related and quality-unrelated faults. Several postprocessing modifications of PLS, such as total projection to latent structures (T-PLS), have been proposed to solve this issue. Further studies have found that these modifications fail to reduce false alarm rates (FARs) of quality… CONTINUE READING
Highly Cited
This paper has 113 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 49 extracted citations

Deep Coupling Autoencoder for Fault Diagnosis With Multimodal Sensory Data

IEEE Transactions on Industrial Informatics • 2018
View 2 Excerpts

Fault Detection and Classification Using Quality-Supervised Double-Layer Method

IEEE Transactions on Industrial Electronics • 2018
View 1 Excerpt

114 Citations

Citations per Year
Semantic Scholar estimates that this publication has 114 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 20 references

Improved PLS algorithms

B. Dayal
J. Chemom., vol. 11, no. 1, pp. 73–85, 1997. • 1997
View 5 Excerpts
Highly Influenced

Data-Based Techniques Focused on Modern Industry: An Overview

IEEE Transactions on Industrial Electronics • 2015
View 1 Excerpt

A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark tennessee eastman process

S. Yin, S. Ding, A. Haghani, H. Hao, P. Zhang
J. Process Control, vol. 22, no. 9, pp. 1567–1581, 2012. • 2012
View 2 Excerpts

Similar Papers

Loading similar papers…