Results 231 to 240 of about 3,351,616 (311)

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

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

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 Hybrid Mechanism- and Data-Driven Soft Sensor Based on the Generative Adversarial Network and Gated Recurrent Unit

IEEE Sensors Journal, 2021
As an effective means of sensing difficult-to-measure process variables in real time, soft sensors are widely used but have a few significant limitations. Modeling errors between the mechanism model and real system can occur, which affect the accuracy of
Runyuan Guo, Han Liu
semanticscholar   +1 more source

Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data.

ISA transactions, 2021
In the process industry, it is essential to establish a data-driven soft sensor to predict the key variable that is difficult to online measure directly. The accuracy performance of data-driven soft sensors relies heavily on data.
Yanlin He, Qiang Hua, Qun Zhu, Shan Lu
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

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

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

Soft sensor predictor of E. coli concentration based on conventional monitoring parameters for wastewater disinfection control.

Water Research, 2021
Real-time acquisition of indicator bacteria concentration at the inlet of disinfection unit is a fundamental support to the control of chemical and ultraviolet wastewater disinfection.
Jacopo Foschi, A. Turolla, M. Antonelli
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