Work place: Department of Electrical Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, 43400, Selangor, Malaysia
Research Interests: Process Control System
Nor Hana Mamat holds a B.Eng in Telecommunication from Universiti Malaya and M. Eng. in Electrical (Mechatronics and Automatic Control) from Universiti Teknologi Malaysia. An academic staff in TATI Universiti College, Terengganu, Malaysia, she is currently on study leave doing PhD in Control Systems Engineering at Universiti Putra Malaysia. Her research interest is control system in soft-sensor modelling for bioprocess.
DOI: https://doi.org/10.5815/ijeme.2018.06.01, Pub. Date: 8 Nov. 2018
Physical sensors are used mostly to detect sludge and odour in wastewater. Black box modelling or data-derived model using the correlation of input-output parameters is the preferred method as we have assessed. This is due to the non-complex approach of such models as opposed to model-driven, mechanistic models. The latter is hard to be adopted for soft-sensor development due to the inherent complexities and uncertainties. The commonest methods for soft sensor model development are ANN and ANFIS. Many other improvements of these methods are achieved by combining with other techniques to enhance the prediction performance of the soft sensors. Accuracy and precision of data collected for soft sensor modelling has become a vital concern at present to ensure the reliability of wastewater quality indices predicted by the soft sensors. Reduction of the level of reliability of the sensor system in monitoring and controlling of WWTPs would lead to serious lapses in the wastewater quality management. In this backdrop we recommend SEVA soft sensor as one of the best potential solutions which could be offered by the existing technologies.[...] Read more.
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