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http://dx.doi.org/10.5391/JKIIS.2006.16.3.383

Operation diagnostic based on PCA for wastewater treatment  

Jun Byong-Hee (강원대학교건설방재공학과)
Park Jang-Hwan (특허청)
Chun Myung-Geun (충북대학교 전기전자 컴퓨터공학부, 컴퓨터 정보통신 연구소)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.16, no.3, 2006 , pp. 383-388 More about this Journal
Abstract
SBR is one of the most general sewage/wastewater treatment processes and, particularly, has an advantage in high concentration wastewater treatment like sewage wastewater. A Kernel PCA based fault diagnosis system for biological reaction in full-scale wastewater treatment plant was proposed using only common bio-chemical sensors such as ORP(Oxidation-Reduction Potential) and DO(Dissolved Oxygen). During the SBR operation, the operation status could be divided into normal status and abnormal status such as controller malfunction, influent disturbance and instrumental trouble. For the classification and diagnosis of these statuses, a series of preprocessing, dimension reduction using PCA, LDA, K-PCA and feature reduction was performed. Also, the diagnosis result using differential data was superior to that of raw data, and the fusion data show better results than other data. Also, the results of combination of K-PCA and LDA were better than those of LDA or (PCA+LDA). Finally, the fault recognition rate in case of using only ORP or DO was around maximum 97.03% and the fusion method showed better result of maximum 98.02%.
Keywords
PCA; LDA; SBR; Wastewater treatment; Fault diagnosis;
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