Convolutional neural network-based deep transfer learning for fault detection of gas turbine combustion chambers
2021 · Applied Energy · 104 citations
https://doi.org/10.1016/j.apenergy.2021.117509
M
Mingliang Bai
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
38
Papers
731
Citations
15
h-index
21
i10-index
Mingliang Bai is an academic researcher from Microsoft (United States). The author has contributed to research in topics: Machine Fault Diagnosis Techniques & Energy Load and Power Forecasting & Fault Detection and Control Systems. The author has an h-index of 15, co-authored 33 publications.
ORCID: 0000-0002-1939-8034Papers by this author
worksGas path fault diagnosis for gas turbine group based on deep transfer learning
2021 · Measurement · 59 citations
https://doi.org/10.1016/j.measurement.2021.109631
Multi-objective station-network synergy planning for regional integrated energy system considering energy cascade utilization and uncertainty
2024 · Energy Conversion and Management · 41 citations
https://doi.org/10.1016/j.enconman.2024.118073
Deep multi-attribute spatial–temporal graph convolutional recurrent neural network-based multivariable spatial–temporal information fusion for short-term probabilistic forecast of multi-site photovoltaic power
2025 · Expert Systems with Applications · 12 citations
https://doi.org/10.1016/j.eswa.2025.127458
Early Fault Detection of Gas Turbine Hot Components Based on Exhaust Gas Temperature Profile Continuous Distribution Estimation
2020 · Energies · 5 citations
https://doi.org/10.3390/en13225950
Ultrafast 24-h solar irradiance forecasts outperform numerical weather predictions across the USA
2025 · Cell Reports Physical Science · 0 citations
https://doi.org/10.1016/j.xcrp.2025.102996
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat