Using an LSTM network to monitor industrial reactors using electrical capacitance and impedance tomography - a hybrid approach

• Autorzy: Kłosowski Grzegorz , Rymarczyk Tomasz , Niderla Konrad , Kulisz Monika , Skowron Łukasz , Soleimani Manuchehr

Identyfikatory

DOI

10.17531/ein.2023.1.11

• Języki publikacji: EN

Abstrakty

EN

The article presents a new concept for monitoring industrial tank reactors. The presented concept allows for faster and more reliable monitoring of industrial processes, which increases their reliability and reduces operating costs. The innovative method is based on electrical tomography. At the same time, it is non-invasive and enables the imaging of phase changes inside tanks filled with liquid. In particular, the hybrid tomograph can detect gas bubbles and crystals formed during industrial processes. The main novelty of the described solution is the simultaneous use of two types of electrical tomography: impedance and capacitance. Another novelty is the use of the LSTM network to solve the tomographic inverse problem. It was made possible by taking the measurement vector as a data sequence. Research has shown that the proposed hybrid solution and the LSTM algorithm work better than separate systems based on impedance or capacitance tomography.

Słowa kluczowe

EN

electrical tomography; industrial system; process control; LSTM networks; machine learning

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2023
• Tom: Vol. 25, no. 1
• Strony: art. no. 11
• Opis fizyczny: Bibliogr. 49 poz., rys., tab., wykr.

Twórcy

autor

Kłosowski Grzegorz

• Lublin University of Technology, Department of Organization of Enterprise, ul. Nadbystrzycka 38D, 20-618 Lublin, Poland

• https://orcid.org/0000-0001-7927-3674

autor

Rymarczyk Tomasz

• WSEI University, ul. Projektowa 4, 20-209 Lublin, Poland
• Research and Development Center, Netrix S.A.

• https://orcid.org/0000-0002-3524-9151

autor

Niderla Konrad

• WSEI University, ul. Projektowa 4, 20-209 Lublin, Poland
• Research and Development Center, Netrix S.A.

• https://orcid.org/0000-0003-1280-0622

autor

Kulisz Monika

• Lublin University of Technology, Department of Organization of Enterprise, ul. Nadbystrzycka 38D, 20-618 Lublin, Poland

• https://orcid.org/0000-0002-8111-2316

autor

Skowron Łukasz

• Lublin University of Technology, Department of Organization of Enterprise, ul. Nadbystrzycka 38D, 20-618 Lublin, Poland

• https://orcid.org/0000-0002-9253-3474

autor

Soleimani Manuchehr

• University of Bath, Department of Electronic & Electrical Engineering, Claverton Down, Bath, BA2 7AY, United Kingdom

• https://orcid.org/0000-0002-6341-9592

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).