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Digital twin enhanced fault prediction for the autoclave with insufficient data
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- Wang, Yucheng (author)
- Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China.
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- Tao, Fei (author)
- Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China.
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- Zhang, Meng (author)
- Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China.
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- Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China. (creator_code:org_t)
- Elsevier BV, 2021
- 2021
- English.
- In: Journal of manufacturing systems. - : Elsevier BV. - 0278-6125 .- 1878-6642. ; 60, s. 350-359
- Journal article (peer-reviewed)
Abstract
Subject headings
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- Since any faulty operations could directly affect the composite property, making early prognosis is particularly crucial for complex equipment. At present, data-driven approach has been typically used for fault prediction. However, for part of complex equipment, it is difficult to access reliable and sufficient data to train the fault prediction model. To address this issue, this paper takes autoclave as an example. A Digital Twin (DT) model containing multiple dimensions for the autoclave is firstly constructed and verified. Then the characteristics of autoclave under different conditions are analyzed and presented with specific parameters. The data in normal and faulty conditions are simulated by using the DT model. Both the simulated data and extracted historical data are applied to enhance fault prediction. A convolutional neural network for fault prediction will be trained with the generated data which matches the feature of the autoclave in faulty conditions. The effectiveness of the proposed method is verified through result analysis.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Digital twin
- Modelling
- Fault prediction
- Autoclave
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
- Wang, Yucheng
- Tao, Fei
- Zhang, Meng
- Wang, Lihui
- Zuo, Ying
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