This paper reviews decision support methodologies that can be applied to treatment plants. Case studies of decision support systems (DSS) that have been developed and used or trialled are presented below. These include rule-based systems and systems based on digraphs of cause-and-effect relationships. Detection examples on real plant data are presented, in one case using direct measurements and simple detectors and in another using multivariate statistics and clustering.

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