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Intelligent Warning of Membrane Fouling Based on Robust Deep Neural Network

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Abstract

The warning of membrane fouling is of great important to maintain the stable operation of membrane bioreactor (MBR). However, traditional methods are so error-prone that probably do not acquire reliable solutions of membrane fouling due to its uncertainties. To overcome this problem, an intelligent warning method is proposed to monitor the status of MBR in this paper. The main advantages in this paper are as follows. First, an identification method, based on robust deep neural network (RDNN), is developed to diagnose the different types of membrane fouling. Second, a decision-making method, based on the restricted Boltzmann machine (RBM), is designed to distinguish the operational suggestion. Third, an intelligent warning system, based on the above two methods and some sensors, is developed to mitigate the membrane fouling in real wastewater treatment plants. Finally, the simulation and experimental results demonstrate the proposed warning method can obtain the higher identification accuracy of membrane fouling than other methods.

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Funding

Manuscript received Hong-Gui Han for his work was supported by the National Key Research and Development Project under Grant No. 2018YFC1900800-5, National Natural Science Foundation of China under Grant No. 61890930–5 and 61622301, Beijing Natural Science Foundation under Grant No. 4172005. Asterisk indicates corresponding author.

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Authors and Affiliations

  1. Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China

    Xiao-Long Wu, Hong-Gui Han, Hui-Juan Zhang & Jun-Fei Qiao

  2. Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China

    Xiao-Long Wu, Hong-Gui Han, Hui-Juan Zhang & Jun-Fei Qiao

  3. Engineering Research Center of Digital Community, Ministry of Education, Beijing, 100124, China

    Xiao-Long Wu, Hong-Gui Han, Hui-Juan Zhang & Jun-Fei Qiao

Authors
  1. Xiao-Long Wu
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  2. Hong-Gui Han
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  3. Hui-Juan Zhang
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  4. Jun-Fei Qiao
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Correspondence to Hong-Gui Han.

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Wu, XL., Han, HG., Zhang, HJ. et al. Intelligent Warning of Membrane Fouling Based on Robust Deep Neural Network. Int. J. Fuzzy Syst. 24, 276–293 (2022). https://doi.org/10.1007/s40815-021-01134-6

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  • DOI: https://doi.org/10.1007/s40815-021-01134-6

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