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A Spatiotemporal Industrial Soft Sensor Modeling Scheme for Quality Prediction With Missing Data
IEEE Transactions on Instrumentation and MeasurementQuality 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
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Information Sciences, 2021
Recently, deep learning has attracted increasing attention for soft sensor applications in industrial processes. Hierarchical features can be learned from massive process data by deep learning, which is the key step for quality variable prediction ...
Chenliang Liu +4 more
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Recently, deep learning has attracted increasing attention for soft sensor applications in industrial processes. Hierarchical features can be learned from massive process data by deep learning, which is the key step for quality variable prediction ...
Chenliang Liu +4 more
semanticscholar +1 more source
IEEE Transactions on Industrial Informatics, 2020
Deep learning is a recently developed feature representation technique for data with complicated structures, which has great potential for soft sensing of industrial processes. However, most deep networks mainly focus on hierarchical feature learning for
Xiaofeng Yuan +5 more
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Deep learning is a recently developed feature representation technique for data with complicated structures, which has great potential for soft sensing of industrial processes. However, most deep networks mainly focus on hierarchical feature learning for
Xiaofeng Yuan +5 more
semanticscholar +1 more source
Uncertainty-aware soft sensor using Bayesian recurrent neural networks
Advanced Engineering Informatics, 2021Data-driven soft sensors have been widely used to measure key variables for industrial processes. Soft sensors using deep learning models have attracted considerable attention and shown superior predictive performance.
Minjung Lee, Jinsoo Bae, S. Kim
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Soft Thermal Sensor with Mechanical Adaptability
Advanced Materials, 2016A 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 +6 more
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Soft tactile sensor and curvature sensor for caterpillar-like soft robot's adaptive motion
Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence, 2019Soft robots are designed to interact safely with their environment and move through narrow place in a way a rigid robot cannot. In order for the soft robot to be completely soft, it should consist of as more as soft component. In this paper, a PneuNet soft robot imitating bionic caterpillar are fabricated.
Xin Yuan +4 more
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Soft-sensor development for monitoring the lysine fermentation process.
Journal of Bioscience and Bioengineering, 2021Monitoring cell growth and target production in working fermentors is important for stabilizing high level production. In this study, we developed a novel soft sensor for estimating the concentration of a target product (lysine), substrate (sucrose), and
Kento Tokuyama +10 more
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Heterogeneous sensing in a multifunctional soft sensor for human-robot interfaces
Science Robotics, 2020Heterogeneous sensing mechanisms enabled a multifunctional compact soft sensor to decouple multiple deformation modes. Soft sensors have been playing a crucial role in detecting different types of physical stimuli to part or the entire body of a robot ...
Taekyoung Kim +5 more
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Scientists Develop Soft Tactile Sensor
New Electronics, 2021SENSOR WITH SKIN-COMPARABLE CHARACTERISTICS COULD HELP ROBOTS ACCOMPLISH MORE CHALLENGING TASKS.
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An intrinsically embedded pressure-temperature dual-mode soft sensor towards soft robotics
Sensors and Actuators A: Physical, 2021Soft sensing is indispensable for precisely manipulate and recognize objects in soft robotics. However, it is a challenge to better integrate soft robots with soft sensors because the sensing performances of soft sensors will be induced by mechanical ...
Qiang Zou, Yaodong Wang, Fengrui Yang
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