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Graph convolutional network soft sensor for process quality prediction

Journal of Process Control, 2023
Mingwei Jia   +4 more
semanticscholar   +1 more source

Nonlinear probabilistic latent variable regression models for soft sensor application: From shallow to deep structure

, 2020
Probabilistic latent variable regression models have recently caught much attention in the process industry, particularly for soft sensor applications.
Bingbing Shen, Le Yao, Zhiqiang Ge
semanticscholar   +1 more source

Soft sensors form a network

Nature Electronics, 2019
A wearable wireless sensor network for personalized healthcare can be created through the indirect integration of soft on-skin sensors and rigid in-clothes circuits.
Muyang Lin   +2 more
openaire   +1 more source

Soft sensors for processing plants

Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296), 1999
Soft-sensors assist in solving the problem created by the unavailability of a sensor by providing a software backup for it, thus allowing a reduction of losses in plant performance. Similarly, the use of a soft sensor to estimate a plant variable for which no sensor is installed can improve plant performance.
openaire   +1 more source

3D printed resistive soft sensors

2018 IEEE International Conference on Soft Robotics (RoboSoft), 2018
Sensor design for soft robots is a challenging problem because of the wide range of design parameters (e.g. geometry, material, actuation type, etc.) critical to their function. While conventional rigid sensors are effective for soft robotics in specific situations, sensors that are directly integrated into the bodies of soft robots could help improve ...
Benjamin Shih   +4 more
openaire   +1 more source

Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes

Engineering applications of artificial intelligence, 2021
Chenliang Liu   +3 more
semanticscholar   +1 more source

Biodegradable soft actuators and sensors

The Proceedings of the Dynamics & Design Conference, 2023
Kazuma TAKAI, Naoki HOSOYA, Jun SHINTAKE
openaire   +1 more source

Freeness soft sensor in tmprefining

2004
A study of the refined pulp quality control was started in 1998 at UPM-Kymmene Kaipola paper mill in Finland. Studied refiners were Metso Paper SD-65 including both main and reject refining. The comparison between relevant operation signals and process modeling resulted into a soft sensor for refined pulp freeness, which uses refiner specific energy ...
Loisa, Marko   +4 more
openaire   +1 more source

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