Results 311 to 320 of about 3,415,717 (388)

Novel Transformer Based on Gated Convolutional Neural Network for Dynamic Soft Sensor Modeling of Industrial Processes

IEEE Transactions on Industrial Informatics, 2021
Industrial process data are usually time-series data collected by sensors, which have the characteristics of high nonlinearity, dynamics, and noises. Many existing soft sensor modeling methods usually focus on dominant variables and auxiliary variables ...
Zhiqiang Geng, Zhiwei Chen, Qingchao Meng, Yongming Han   +3 more
semanticscholar   +1 more source

A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data

IEEE Transactions on Neural Networks and Learning Systems, 2021
Soft sensors have been extensively developed and applied in the process industry. One of the main challenges of the data-driven soft sensors is the lack of labeled data and the need to absorb the knowledge from a related source operating condition to ...
Zheng Chai, Chunhui Zhao, B. Huang, Hongtian Chen   +3 more
semanticscholar   +1 more source

Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications

IEEE Transactions on Cybernetics, 2022
In industrial processes, the sampling rates of process variables are discrepant because of the nature of instruments and measuring demands, which forms the challenging issue, that is, the multirate modeling in the data-driven soft sensor development.
Bingbing Shen, Le Yao, Zhiqiang Ge
semanticscholar   +1 more source

Knowledge Automation Through Graph Mining, Convolution, and Explanation Framework: A Soft Sensor Practice

IEEE Transactions on Industrial Informatics, 2022
In industrial processes, data-driven soft sensors have played an important role for the effective process control, optimization, and monitoring. Deep learning technique has been widely used in soft sensor field in recent years for its excellent feature ...
Zhichao Chen, Zhiqiang Ge
semanticscholar   +1 more source

Soft haptics using soft actuator and soft sensor

2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2016
In this paper, we presented fabric-based soft tactile actuator and soft sensor. The force characterization result indicates that the actuator is able to produce force up to about 2.20(±0.017)N, when it is supplied with 80kPa of pressurized air. Hence it is capable of producing sufficient amount of force, which surpasses the human's haptic perception ...
P.M. Khin, J.H. Low, W.W. Lee, S.L. Kukreja, H.L. Ren, N.V. Thakor, C.H. Yeow   +6 more
openaire   +1 more source

Frame-Dilated Convolutional Fusion Network and GRU-Based Self-Attention Dual-Channel Network for Soft-Sensor Modeling of Industrial Process Quality Indexes

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
Due to technical or economic limitations, timely measuring quality-relevant key performance indicators (KPIs) of complex industrial processes (CIPs), especially the chemical composition-related indexes, is intractable. Process monitoring image sequences (
Jinping Liu, Jiezhou He, Zhaohui Tang, Yongfang Xie, W. Gui, Tianyu Ma, H. Jahanshahi, A. Aly   +7 more
semanticscholar   +1 more source

Domain Adaptation Mixture of Gaussian Processes for Online Soft Sensor Modeling of Multimode Processes When Sensor Degradation Occurs

IEEE Transactions on Industrial Informatics, 2022
Sensor degradation seriously hinders the practical application of soft sensors. To reduce the negative effect of sensor degradation, in this article, we propose a robust domain adaptation mixture of Gaussian processes (DA-MGP) for online soft sensor ...
Xiangrui Zhang, Chunyue Song, Jun Zhao, Xiaogang Deng   +3 more
semanticscholar   +1 more source

Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

IEEE Transactions on Industrial Informatics, 2020
Soft sensor has been extensively utilized in industrial processes for prediction of key quality variables. To build an accurate virtual sensor model, it is very significant to model the dynamic and nonlinear behaviors of process sequential data properly.
Xiaofeng Yuan, Lin Li, Yalin Wang
semanticscholar   +1 more source

SVAE-WGAN-Based Soft Sensor Data Supplement Method for Process Industry

IEEE Sensors Journal, 2022
Challenges of process industry, which is characterized as hugeness of process variables in complexity of industrial environment, can be tackled effectively by the use of soft sensor technology.
Shiwei Gao, Sulong Qiu, Zhongyu Ma, Ran Tian, Yanxing Liu   +4 more
semanticscholar   +1 more source

Soft Sensor of the Key Effluent Index in the Municipal Wastewater Treatment Process Based on Transformer

IEEE Transactions on Industrial Informatics
Data-driven soft sensor methods have been widely used in municipal wastewater treatment processes to achieve efficient monitoring of effluent indicators.
Peng Chang, Shirao Zhang, Zichen Wang
semanticscholar   +1 more source