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A fuzzy-logic-based diagnosis system for the determination of acidification states on an anaerobic wastewater treatment plant was developed. The diagnosis system uses experts’ knowledge to determine the acidification state of the process. The information of several on-line measured variables, which are classified under linguistic labels, and the expert knowledge are implemented by means of a fuzzy-based rules structure. The acidification state of the system within the anaerobic reactor is determined by means of evaluating the fuzzy inference system for the given inputs. A representative experiment of application of the developed diagnosis system to a progressive acidification caused by a hydraulic overload in the digester is presented and discussed.