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Filter Surveillance Improves Performance
Author(s) -
Martin Bard,
Linder Kevin
Publication year - 2016
Publication title -
opflow
Language(s) - Uncategorized
Resource type - Journals
eISSN - 1551-8701
pISSN - 0149-8029
DOI - 10.5991/opf.2016.42.0069
Subject(s) - filter (signal processing) , computer science , business , computer vision
Filter surveillance involves assessing a variety of water quality and operational parameters to evaluate filter performance as part of an ongoing, plant‐specific program.