This paper builds on work presented in the first paper, Part 1  and is of equal significance. The paper proposes a novel compensation method to preserve the integrity of step-fault signatures prevalent in various processes that can be masked during the removal of both auto- and cross correlation. Using industrial data, the paper demonstrates the benefit of the proposed method, which is applicable to chemical, electrical, and mechanical process monitoring. This paper, (and Part 1 ), has led to further work supported by EPSRC grant GR/S84354/01 involving kernel PCA methods.
ASJC Scopus subject areas
- Chemical Engineering (miscellaneous)
- Environmental Science(all)
- Polymers and Plastics