Automated active fault detection in fouled dissolved oxygen sensors. (1st December 2019)

• Record Type: Journal Article
• Authors: Samuelsson, Oscar; Zambrano, Jesús; Björk, Anders; Carlsson, Bengt
• Is Part Of: Water research. Volume 166(2019)
• Publication Date: 2019-12-01
• Subjects: Active fault detection -- Monitoring -- Receiver operating characteristics -- Gaussian process regression -- One-class classification; Water -- Pollution -- Research -- Periodicals; 363.7394
• DOI: 10.1016/j.watres.2019.115029
• Languages: English
• ISSNs: 0043-1354

Abstract

Abstract: Biofilm formation causes bias in dissolved oxygen (DO) sensors, which hamper their usage for automatic control and thereby balancing energy- and treatment efficiency. We analysed if a dataset that was generated with deliberate perturbations, can automatically be interpreted to detect bias caused by biofilm formation. We used a challenging set-up with realistic conditions that are required for a full-scale application. This included automated training (adapting to changing normal conditions) and automated tuning (setting an alarm threshold) to assure that the fault detection (FD)-methods are accessible to the operators. The results showed that automatic usage of FD-methods is difficult, especially in terms of automatic tuning of alarm thresholds when small training datasets only represent the normal conditions, i.e. clean sensors. Despite the challenging set-up, two FD-methods successfully improved the detection limit to 0.5 mg DO/L bias caused by biofilm formation. We showed that the studied dataset could be interpreted equally well by simpler FD-methods, as by advanced machine learning algorithms. This in turn indicates that the information contained in the actively generated data was more vital than its interpretation by advanced algorithms. Graphical abstract: Image 1 Highlights: Active fault detection can improve sensor maintenance. Sensor bias down to 0.5 mg DO/L caused by biofilm was detected. Lack of annotated training data hampered automatic alarm tuning.