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Fault Detection using NLMS Adaptive Filtering for a Wastewater Treatment Process

Authors:
Mihaela Miron
Anisia Culea-Florescu
Mihai Culea

Keywords: wastewater treatment process; adaptive Kalman filter; fault detection; process diagnosis

Abstract:
In this paper, a method based on adaptive filtering is proposed for actuator, sensor and toxicity faults detection in a biological wastewater treatment process. Improving water quality in such treatment plants is an important and growing problem so monitoring performance and conditions, optimization and fault diagnosis for biotechnological processes are important as is fault detection. Such detection is performed here using state-parameter estimation where the detection algorithm compares the outputs of an analytical model with those estimated by the normalized least mean square adaptive filter in order to calculate the residual value for each output of the process. Numerical examples are presented in order to illustrate the performance of the proposed method.

Pages: 40 to 45

Copyright: Copyright (c) IARIA, 2019

Publication date: September 22, 2019

Published in: conference

ISSN: 2326-9383

ISBN: 978-1-61208-740-5

Location: Porto, Portugal

Dates: from September 22, 2019 to September 26, 2019