Παρακολούθηση
Mingliang Bai
Mingliang Bai
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα stu.hit.edu.cn - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Convolutional neural network-based deep transfer learning for fault detection of gas turbine combustion chambers
M Bai, X Yang, J Liu, J Liu, D Yu
Applied Energy 302, 117509, 2021
902021
Anomaly detection of gas turbines based on normal pattern extraction
M Bai, J Liu, J Chai, X Zhao, D Yu
Applied Thermal Engineering 166, 114664, 2020
872020
Gas path fault diagnosis for gas turbine group based on deep transfer learning
X Yang, M Bai, J Liu, J Liu, D Yu
Measurement 181, 109631, 2021
542021
Long short-term memory network-based normal pattern group for fault detection of three-shaft marine gas turbine
M Bai, J Liu, Y Ma, X Zhao, Z Long, D Yu
Energies 14 (1), 13, 2020
442020
Short-term probabilistic predictions of wind multi-parameter based on one-dimensional convolutional neural network with attention mechanism and multivariate copula distribution …
X Zhao, M Bai, X Yang, J Liu, D Yu, J Chang
Energy 234, 121306, 2021
312021
An LSTM based method for stage performance degradation early warning with consideration of time-series information
X Li, J Liu, M Bai, J Li, X Li, P Yan, D Yu
Energy 226, 120398, 2021
292021
Deep attention ConvLSTM-based adaptive fusion of clear-sky physical prior knowledge and multivariable historical information for probabilistic prediction of photovoltaic power
M Bai, Y Chen, X Zhao, J Liu, D Yu
Expert Systems with Applications 202, 117335, 2022
272022
Structural risk minimization of rough set-based classifier
J Liu, M Bai, N Jiang, D Yu
Soft Computing 24, 2049-2066, 2020
232020
Deep graph gated recurrent unit network-based spatial–temporal multi-task learning for intelligent information fusion of multiple sites with application in short-term spatial …
M Bai, Z Zhou, J Li, Y Chen, J Liu, X Zhao, D Yu
Expert Systems with Applications, 122072, 2023
192023
Multi-objective station-network synergy planning for regional integrated energy system considering energy cascade utilization and uncertainty
G Zhou, M Bai, H Li, J Li, Q Li, J Liu, D Yu
Energy Conversion and Management 301, 118073, 2024
162024
Fault detection and isolation of aeroengine combustion chamber based on unscented Kalman filter method fusing artificial neural network
Z Long, M Bai, M Ren, J Liu, D Yu
Energy 272, 127068, 2023
152023
A novel measure of attribute significance with complexity weight
J Liu, M Bai, N Jiang, D Yu
Applied Soft Computing 82, 105543, 2019
152019
Study on the distribution characteristics and uncertainty of multiple energy load patterns for building group to enhance demand side management
G Zhou, M Bai, X Zhao, J Li, Q Li, J Liu, D Yu
Energy and Buildings 263, 112038, 2022
142022
An adaptive remaining useful life prediction model for aeroengine based on multi-angle similarity
Z Zhou, M Bai, Z Long, J Liu, D Yu
Measurement 226, 114082, 2024
132024
More realistic degradation trend prediction for gas turbine based on factor analysis and multiple penalty mechanism loss function
Z Zhou, W Zhang, P Yao, Z Long, M Bai, J Liu, D Yu
Reliability Engineering & System Safety 247, 110097, 2024
122024
基于深度自编码器和支持向量数据描述的燃气轮机高温部件异常检测
白明亮, 张冬雪, 刘金福, 刘娇, 于达仁
发电技术 42 (4), 422-430, 2021
112021
A comparative study on fault detection methods for gas turbine combustion systems
J Liu, Z Long, M Bai, L Zhu, D Yu
Energies 14 (2), 389, 2021
112021
Accurate four-hour-ahead probabilistic forecast of photovoltaic power generation based on multiple meteorological variables-aided intelligent optimization of numeric weather …
M Bai, Z Zhou, Y Chen, J Liu, D Yu
Earth Science Informatics 16 (3), 2741-2766, 2023
102023
Multivariable space-time correction for wind speed in numerical weather prediction (NWP) based on ConvLSTM and the prediction of probability interval
Y Chen, M Bai, Y Zhang, J Liu, D Yu
Earth Science Informatics 16 (3), 1953-1974, 2023
102023
Proactively selection of input variables based on information gain factors for deep learning models in short-term solar irradiance forecasting
Y Chen, M Bai, Y Zhang, J Liu, D Yu
Energy 284, 129261, 2023
92023
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