Results 321 to 330 of about 3,415,717 (388)

A Spatiotemporal Industrial Soft Sensor Modeling Scheme for Quality Prediction With Missing Data

IEEE Transactions on Instrumentation and Measurement
Quality prediction is important for precise control of industrial processes and improvements of product quality. The nonlinear and dynamic features of time-series data can be effectively extracted by the appropriate soft sensor models for quality ...
Liang Ma, Mengwei Wang, Kai-xiang Peng
semanticscholar   +1 more source

Self‐Powered and 3D Printable Soft Sensor for Human Health Monitoring, Object Recognition, and Contactless Hand Gesture Recognition

Advanced Functional Materials
A new galvanic cell design of a self‐powered and 3D‐printable soft sensor showing health monitoring, object recognition, and contactless hand gesture recognition, is reported.
Jingzhi Tang, Kai Gou, Chong Wang, Minghui Wei, Qiuli Tan, Gengsheng Weng   +5 more
semanticscholar   +1 more source

Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

IEEE transactions on industrial electronics (1982. Print), 2020
Industrial process data are naturally complex time series with high nonlinearities and dynamics. To model nonlinear dynamic processes, a long short-term memory (LSTM) network is very suitable for soft sensor model development.
Xiaofeng Yuan, Lin Li, Yuri A. W. Shardt, Yalin Wang, Chunhua Yang   +4 more
semanticscholar   +1 more source

A review of just‐in‐time learning‐based soft sensor in industrial process

Canadian Journal of Chemical Engineering
Data‐driven soft sensing approaches have been a hot research field for decades and are increasingly used in industrial processes due to their advantages of easy implementation and high efficiency. However, nonlinear and time‐varying problems widely exist
Weiwei Sheng, Jinchuan Qian, Zhihuan Song, Xinmin Zhang   +3 more
semanticscholar   +1 more source

A Novel Bidirectional Gated Recurrent Unit-Based Soft Sensor Modeling Framework for Quality Prediction in Manufacturing Processes

IEEE Sensors Journal, 2022
Quality prediction is very important for improving the accuracy of quality control and the stability of product quality in manufacturing processes. However, the complex time series with high dimension, nonlinearity, and dynamics brings great challenges ...
Liang Ma, Mengwei Wang, Kai-xiang Peng
semanticscholar   +1 more source

Augmented flame image soft sensor for combustion oxygen content prediction

Measurement science and technology, 2022
Oxygen content is one of the most critical factors for high-efficiency combustion. Online measurement of oxygen content from flame images is important but still challenging.
Shuang Gao, Yun Dai, Yingjie Li, Yuxin Jiang, Yi Liu   +4 more
semanticscholar   +1 more source

Deep Subdomain Learning Adaptation Network: A Sensor Fault-Tolerant Soft Sensor for Industrial Processes

IEEE Transactions on Neural Networks and Learning Systems, 2022
Sensor faults are non-negligible issues for soft sensor modeling. However, existing deep learning-based soft sensors are fragile and sensitive when considering sensor faults.
Xiangrui Zhang, Chunyue Song, Jun Zhao, Zuhua Xu, Xiaogang Deng   +4 more
semanticscholar   +1 more source

Consistent-Contrastive Network With Temporality-Awareness for Robust-to-Anomaly Industrial Soft Sensor

IEEE Transactions on Instrumentation and Measurement, 2022
The semisupervised soft sensor has gradually become a more practical solution due to the difficulty in collecting labels for the industrial soft sensors.
Shuchao Chang, Chunhui Zhao, Ke Li
semanticscholar   +1 more source

Soft Thermal Sensor with Mechanical Adaptability

Advanced Materials, 2016
A soft thermal sensor with mechanical adaptability is fabricated by the combination of single-wall carbon nanotubes with carboxyl groups and self-healing polymers. This study demonstrates that this soft sensor has excellent thermal response and mechanical adaptability.
Hui, Yang, Dianpeng, Qi, Zhiyuan, Liu, Bevita K, Chandran, Ting, Wang, Jiancan, Yu, Xiaodong, Chen   +6 more
openaire   +2 more sources

Collaborative Apportionment Noise-Based Soft Sensor Framework

IEEE Transactions on Instrumentation and Measurement, 2022
Recently, feature extraction-based soft sensor techniques have developed rapidly in the control, optimization, and detection processes of industrial production.
Shiwei Gao, Qingsong Zhang, Ran Tian, Zhongyu Ma, Yanxing Liu, Ziqian Hao   +5 more
semanticscholar   +1 more source