A Biochemical Fault Detection Method Based on Stack Noise Reduction Sparse Automatic Encoder
A method based on stack noise reduction sparse automatic coder is proposed for biochemical process fault detection. Based on SDSA, softmax classifier is introduced to build a deep neural network model, and particle swarm optimization algorithm is used to optimize the parameters of the model to impro...
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| Vydáno v: | Chinese Control and Decision Conference s. 5344 - 5349 |
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| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
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IEEE
01.08.2020
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| ISSN: | 1948-9447 |
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| Abstract | A method based on stack noise reduction sparse automatic coder is proposed for biochemical process fault detection. Based on SDSA, softmax classifier is introduced to build a deep neural network model, and particle swarm optimization algorithm is used to optimize the parameters of the model to improve the sensitivity of the model in fault detection. The effectiveness of the proposed method is verified by the simulation of Eastman process in Tennessee. |
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| AbstractList | A method based on stack noise reduction sparse automatic coder is proposed for biochemical process fault detection. Based on SDSA, softmax classifier is introduced to build a deep neural network model, and particle swarm optimization algorithm is used to optimize the parameters of the model to improve the sensitivity of the model in fault detection. The effectiveness of the proposed method is verified by the simulation of Eastman process in Tennessee. |
| Author | Sun, Lupeng Wang, Ping Chu, Zhigang |
| Author_xml | – sequence: 1 givenname: Ping surname: Wang fullname: Wang, Ping organization: Zhengzhou normal university,Academy of Information Science and Technology,Henan,450044 – sequence: 2 givenname: Zhigang surname: Chu fullname: Chu, Zhigang organization: Zhengzhou normal university,Academy of Information Science and Technology,Henan,450044 – sequence: 3 givenname: Lupeng surname: Sun fullname: Sun, Lupeng organization: Zhengzhou normal university,Academy of Information Science and Technology,Henan,450044 |
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| Snippet | A method based on stack noise reduction sparse automatic coder is proposed for biochemical process fault detection. Based on SDSA, softmax classifier is... |
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| SubjectTerms | Biological system modeling Classification algorithms Deep Neural Network Encoding Fault detection Noise reduction Stacked Denoising Sparse Autoencoder Support vector machines Training |
| Title | A Biochemical Fault Detection Method Based on Stack Noise Reduction Sparse Automatic Encoder |
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