Celebrating passion for Water, Science and Technology: Festschrift in Honour of Gustaf Olsson
Professor Gustaf Olsson has devoted countless hours over many years to Water Science and Technology, Water Supply and Water Practice and Technology as an author, reviewer, editor and Editor in Chief until finally stepping down from all functions in 2021. In order to honour Prof. Olsson's devotion and contribution to the journals, IWA Publishing has compiled a Festschrift: that is, a book made up of contributions from Prof. Olsson's former students, his colleagues (past and present), and of course his friends.
As the contributions testify, Gustaf's devotion and influence by far exceeds his work at Water Science and Technology. It has been a joy to read through the testimonies about Gustaf and how he has shaped and influenced lives and academic careers. They express an overwhelming gratitude for the way he has influenced and, in some cases, significantly formed both the professional and personal attitude of those he has touched. It also testifies to great scientific contributions, contributions that are strongly embedded in the water sector industry and with great impact at the time of publishing and clearly also well into the future. His leadership example is a source of inspiration to everybody in the water sector whether in academia or industry.
We urge you to read this Festschrift to celebrate Gustaf and get inspired about how to work in service for the greater good of water.
ISBN: 9781789063363 (print)
ISBN: 9781789063370 (eBook)
ISBN: 9781789063387 (ePUB)
Method for automatic correction of offset drift in online sensors
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Published:September 2022
Dhrubajit Chowdhury, Alexander Melin, Kris Villez, 2022. "Method for automatic correction of offset drift in online sensors", Celebrating passion for Water, Science and Technology: Festschrift in Honour of Gustaf Olsson, Wolfgang Rauch, Pernille Ingildsen
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Abstract
Successful operation and optimization of water treatment systems hinge on the availability of high-quality online sensor measurements. Ideally, the available measurements should be simultaneously accurate (i.e., unbiased and precise), representative, voluminous, and timely. This remains a pain-point in current water infrastructures, forming a barrier to a wider adoption of advanced and autonomous control systems. While short-lived symptoms, such as outliers and spikes, can be detected or corrected with state-of-the-art tools for fault detection and identification, it is much more difficult to detect, diagnose, and correct the symptoms of slow faults, such as changes in offset or sensitivity due to drift. The time scale of drift is often longer than the time scales of the system dynamics of interest. Moreover, sensor drift has been shown to occur at the same time and with similar rates when sensors are exposed to the same conditions. This challenges data quality management strategies based on redundancy. In this contribution, we develop a new method, including both a hands-off sensor calibration mechanism and an information-seeking control architecture that can handle the unique challenge of simultaneous and similar drift in online sensors.