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Article

A Monitoring Method Based on FDALM and Its Application in the Sintering Process of Ternary Cathode Material

School of Automation, Central South University, Changsha 410083, China
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Author to whom correspondence should be addressed.
Academic Editors: Yuan Yao and Ruben Puche-Panadero
Sensors 2022, 22(19), 7203; https://doi.org/10.3390/s22197203
Received: 24 July 2022 / Revised: 31 August 2022 / Accepted: 15 September 2022 / Published: 22 September 2022
In industrial processes, the composition of raw material and the production environment are complex and changeable, which makes the production process have multiple steady states. In this situation, it is difficult for the traditional single-mode monitoring methods to accurately detect the process abnormalities. To this end, a multimode monitoring method based on the factor dynamic autoregressive hidden variable model (FDALM) for industrial processes is proposed in this paper. First, an improved affine propagation clustering algorithm to learn the model modal factors is adopted, and the FDALM is constructed by combining multiple high-order hidden state Markov chains through the factor modeling technology. Secondly, a fusion algorithm based on Bayesian filtering, smoothing, and expectation-maximization is adopted to identify model parameters. The Lagrange multiplier formula is additionally constructed to update the factor coefficients by using the factor constraints in the solving. Moreover, the online Bayesian inference is adopted to fuse the information of different factor modes and obtain the fault posterior probability, which can improve the overall monitoring effect of the model. Finally, the proposed method is applied in the sintering process of ternary cathode material. The results show that the fault detection rate and false alarm rate of this method are improved obviously compared with the traditional methods. View Full-Text
Keywords: multimodality; factor modeling; process monitoring; FDALM multimodality; factor modeling; process monitoring; FDALM
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MDPI and ACS Style

Chen, N.; Hu, F.; Chen, J.; Wang, K.; Yang, C.; Gui, W. A Monitoring Method Based on FDALM and Its Application in the Sintering Process of Ternary Cathode Material. Sensors 2022, 22, 7203. https://doi.org/10.3390/s22197203

AMA Style

Chen N, Hu F, Chen J, Wang K, Yang C, Gui W. A Monitoring Method Based on FDALM and Its Application in the Sintering Process of Ternary Cathode Material. Sensors. 2022; 22(19):7203. https://doi.org/10.3390/s22197203

Chicago/Turabian Style

Chen, Ning, Fuhai Hu, Jiayao Chen, Kai Wang, Chunhua Yang, and Weihua Gui. 2022. "A Monitoring Method Based on FDALM and Its Application in the Sintering Process of Ternary Cathode Material" Sensors 22, no. 19: 7203. https://doi.org/10.3390/s22197203

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