![](/images/graphics-bg.png)
PTS-FNN-Based Health Prediction Method for Flexible Photoelectric Film Material Processing Equipment
Joint Authors
Deng, Yaohua
Yao, Kexing
Jin, Tuo
Feng, Zhaoxi
Liu, Xiali
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Roll-to-Roll (R2R) processing is a common processing method for flexible photoelectric film materials.
Due to the physical properties of the materials, the change in the performance of the R2R processing equipment can easily cause deformation of the flexible film material, it is particularly important to predict the performance degradation of the processing equipment.
Based on the accuracy and real-time requirements of performance degradation prediction, a PTS-FNN model for performance degradation prediction was proposed in this paper, which combines the Possibilistic C-Means (PCM) fuzzy clustering and Takagi–Sugeno Fuzzy Neural Network (TS-FNN).
We also studied the PCM classification algorithm of input data of PTS-FNN model, the predecessor network of TS-FNN prediction model and the construction method of post-component network.
Finally, the implementation process of PCM classification algorithm and TS-FNN prediction model were given.
The R2R processing equipment health prediction experiment system was built and the PTS-FNN model experiment was carried out.
The experimental results showed that the training time of PTS-FNN model was 50.37% less than the standard TS-FNN prediction model.
The prediction accuracy increased by 5.48%, and the PTS-FNN had no error in the judgment of state 1 and state 4.
American Psychological Association (APA)
Deng, Yaohua& Yao, Kexing& Jin, Tuo& Feng, Zhaoxi& Liu, Xiali. 2020. PTS-FNN-Based Health Prediction Method for Flexible Photoelectric Film Material Processing Equipment. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1202083
Modern Language Association (MLA)
Deng, Yaohua…[et al.]. PTS-FNN-Based Health Prediction Method for Flexible Photoelectric Film Material Processing Equipment. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1202083
American Medical Association (AMA)
Deng, Yaohua& Yao, Kexing& Jin, Tuo& Feng, Zhaoxi& Liu, Xiali. PTS-FNN-Based Health Prediction Method for Flexible Photoelectric Film Material Processing Equipment. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1202083
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202083