Aeroengine Working Condition Recognition Based on MsCNN-BiLSTM [PDF]
Sensors, 2022 Aeroengine working condition recognition is a pivotal step in engine fault diagnosis. Currently, most research on aeroengine condition recognition focuses on the stable condition.
Jinsong Zheng +3 more
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Working Condition Recognition Based on Transfer Learning and Attention Mechanism for a Rotary Kiln [PDF]
Entropy, 2022 It is difficult to identify the working conditions of the rotary kilns due to the harsh environment in the kilns. The flame images of the firing zone in the kilns contain a lot of working condition information, but the flame image data sample size is too
Yuchao Hu +3 more
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Multisource working condition recognition via nonlinear kernel learning and p-Laplacian manifold learning [PDF]
HeliyonEffectively utilizing information from multiple sources and fewer labeled operating condition samples from a sucker-rod pumping system for oil production can improve the recognition effects and engineering practicability.
Bin Zhou +4 more
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Working Condition Recognition of a Mineral Flotation Process Using the DSFF-DenseNet-DT
Applied Sciences, 2022 The commonly used working condition recognition method in the mineral flotation process is based on shallow features of flotation froth images. However, the shallow features of flotation froth images frequently have an excessive amount of redundant and ...
Hongchang Liu +5 more
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Underwater acoustic target recognition under working conditions mismatch
Xibei Gongye Daxue XuebaoThe working conditions of the ship will have a great impact on the radiated noise of the ship. Even if the same ship is traveling in the same sea area, different working conditions will produce different radiated noise, thus affecting the accuracy of ...
WANG Haitao +3 more
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Measured multi-source semi-supervised working condition recognition based on curvelet pooling and attention mechanism learning [PDF]
Scientific ReportsTo identify various oil well working conditions more accurately and practically from massive image data collected by multiple measured information sources of sucker-rod pumping wells, this paper proposes a working condition recognition method with three ...
Shuo Yang +3 more
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Sparse attention convolution-ViT model for working condition recognition in zinc flotation
工程科学学报Accurate recognition of working conditions can optimize the zinc flotation process and improve its efficiency. Traditionally, this recognition heavily relies on manual observations of froth appearance, a method prone to human error and subjective ...
Yue SU +6 more
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Intelligent Identification Method for Drilling Conditions Based on Stacking Model Fusion
Energies, 2023 Due to the complex and changing drilling conditions and the large scale of logging data, it is extremely difficult to process the data in real time and identify dangerous working conditions.
Yonghai Gao +5 more
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The part-list cuing effect in working memory: The influence of task presentation mode
Acta Psychologica, 2021 The modulation of part-list cues on long-term memory has been well-documented, whereas its impact on working memory remains largely unknown. The current study recruited a working memory part-list cuing paradigm to investigate how re-exposing part-list ...
Min Xing, Zhuo Niu, Tuanli Liu
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Bearing State Recognition Method Based on Transfer Learning Under Different Working Conditions [PDF]
Sensors, 2019 Bearing state recognition, especially under variable working conditions, has the problems of low reusability of monitoring data, low state recognition accuracy and low generalization ability of the model. The feature-based transfer learning method can solve the above problems, but it needs to rely on signal processing knowledge and expert diagnosis ...
Ning Cao +3 more
openaire +3 more sources