Coupling fault diagnosis of wind turbine gearbox based on multitask parallel convolutional neural networks with overall information
Sign Up to like & getrecommendations! Published in 2021 at "Renewable Energy"
DOI: 10.1016/j.renene.2021.06.088
Abstract: Abstract With the development of smart grid, capacity of wind power that connects to the grid increases gradually, which makes the continuous and stable operation of wind turbine (WT) critically important. Therefore, by considering gearbox… read more here.
Keywords: diagnosis; wind turbine; gearbox; based multitask ... See more keywords
An Open Set Recognition Method for SAR Targets Based on Multitask Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3079418
Abstract: Most of the existing synthetic aperture radar (SAR) automatic target recognition (ATR) methods aim at the closed set situation, in which the classes of targets in the test set have appeared in the training set.… read more here.
Keywords: recognition; multitask learning; based multitask; method ... See more keywords
Attention-Based Multitask Probabilistic Network for Nonintrusive Appliance Load Monitoring
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3273663
Abstract: Monitoring individual appliances’ operating state and energy consumption in a building enables significant energy-saving opportunities. These days, smart meters perform this task nonintrusively using sophisticated signal processing, machine-learning, and/or deep-learning (DL) approaches. To this end,… read more here.
Keywords: multitask probabilistic; appliance; energy; based multitask ... See more keywords