Self-Healing Soft Sensors: From Material Design to Implementation.
Sign Up to like & getrecommendations! Published in 2021 at "Advanced materials"
DOI: 10.1002/adma.202004190
Abstract: The demand for interfacing electronics in everyday life is rapidly accelerating, with an ever-growing number of applications in wearable electronics and electronic skins for robotics, prosthetics, and other purposes. Soft sensors that efficiently detect environmental… read more here.
Keywords: sensors material; material design; soft sensors; healing soft ... See more keywords
Beware of r2 even for test datasets: Using the latest measured y‐values (r2LM) in time series data analysis
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Chemometrics"
DOI: 10.1002/cem.3093
Abstract: The determination coefficient of a test dataset, r2, is calculated and used to compare the performance of adaptive soft sensors and discuss the possibility of their practical use. However, soft sensors that give very high… read more here.
Keywords: time series; values r2lm; latest measured; soft sensors ... See more keywords
A virtual layer of measure based on soft sensors
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-016-0350-y
Abstract: In this paper it is proposed a method to design and train a layer of soft sensors based on neural networks in order to constitute a virtual layer of measure in a wireless sensor network.… read more here.
Keywords: layer; layer measure; measure; measure based ... See more keywords
Comparison of support vector regression- and neural network-based soft sensors for cement plant exhaust gas composition
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Environmental Science and Technology"
DOI: 10.1007/s13762-019-02564-4
Abstract: Application of accurate gas sampler and analyzers is the most reliable method for measuring cement kiln stack gas composition; however, both are very prone to frequent maintenance due to the presence of very fine dust… read more here.
Keywords: vector regression; support vector; based soft; gas ... See more keywords
Application of Wavelets for Evaluation of Soft Sensors under Irregular Sampling of Output Measurements
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.06.045
Abstract: Abstract The problem of evaluating soft sensors for plants with irregular output measurement time is considered. In order to find the relationship between inputs and output, the wavelet-transformed inputs are integrated into the regression model… read more here.
Keywords: wavelets evaluation; evaluation soft; soft sensors; application wavelets ... See more keywords
Beyond signal quality: The value of unmaintained pH, dissolved oxygen, and oxidation-reduction potential sensors for remote performance monitoring of on-site sequencing batch reactors.
Sign Up to like & getrecommendations! Published in 2019 at "Water research"
DOI: 10.1016/j.watres.2019.06.007
Abstract: Sensor maintenance is time-consuming and is a bottleneck for monitoring on-site wastewater treatment systems. Hence, we compare maintained and unmaintained sensors to monitor the biological performance of a small-scale sequencing batch reactor (SBR). The sensor… read more here.
Keywords: oxidation; site; monitoring; performance ... See more keywords
Closing the Control Loop with Time-Variant Embedded Soft Sensors and Recurrent Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "Soft Robotics"
DOI: 10.1089/soro.2021.0012
Abstract: Embedded soft sensors can significantly impact the design and control of soft-bodied robots. Although there have been considerable advances in technology behind these novel sensing materials, their application in real-world tasks, especially in closed-loop control… read more here.
Keywords: embedded soft; control; soft sensors; sensors recurrent ... See more keywords
3D-Printed Soft Sensors for Adaptive Sensing with Online and Offline Tunable Stiffness.
Sign Up to like & getrecommendations! Published in 2022 at "Soft robotics"
DOI: 10.1089/soro.2021.0074
Abstract: The stiffness of a soft robot with structural cavities can be regulated by controlling the pressure of a fluid to render predictable changes in mechanical properties. When the soft robot interacts with the environment, the… read more here.
Keywords: printed soft; stiffness; soft sensors; sensors adaptive ... See more keywords
Detecting Scalable Obstacles Using Soft Sensors in the Body of a Compliant Quadruped
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3141655
Abstract: In soft robotics, one of the trending topics is using soft sensors to have feedback from the robot's body. This is not an easy process to accomplish since the sensors are often nonlinear, so researchers… read more here.
Keywords: using soft; scalable obstacles; sensors body; soft sensors ... See more keywords
A Survey on Deep Learning for Data-Driven Soft Sensors
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3053128
Abstract: Soft sensors are widely constructed in process industry to realize process monitoring, quality prediction, and many other important applications. With the development of hardware and software, industrial processes have embraced new characteristics, which lead to… read more here.
Keywords: soft sensors; survey deep; learning data; data driven ... See more keywords
Adversarial Attacks on Neural-Network-Based Soft Sensors: Directly Attack Output
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3093386
Abstract: Neural-network-based soft sensors are widely employed in the industrial process. Such models have great significance to smart manufacturing. Considering the strict requirements of industrial production, it is vital to ensure the safety and robustness of… read more here.
Keywords: adversarial attacks; based soft; neural network; network based ... See more keywords