Prediction Method for Power Transformer Running State Based on LSTM_DBN Network
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Prediction Method for Power Transformer Running State Based on LSTM_DBN Network
Authors
Keywords
-
Journal
Energies
Volume 11, Issue 7, Pages 1880
Publisher
MDPI AG
Online
2018-07-20
DOI
10.3390/en11071880
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Towards traffic matrix prediction with LSTM recurrent neural networks
- (2018) Jianlong Zhao et al. ELECTRONICS LETTERS
- Power Transformer Operating State Prediction Method Based on an LSTM Network
- (2018) Hui Song et al. Energies
- Prediction of Dissolved Gas Concentrations in Transformer Oil Based on the KPCA-FFOA-GRNN Model
- (2018) Jun Lin et al. Energies
- False Alarm Reduction in Atrial Fibrillation Detection Using Deep Belief Networks
- (2018) Bahareh Taji et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Proposed heptagon graph for DGA interpretation of oil transformers
- (2018) Osama E. Gouda et al. IET Generation Transmission & Distribution
- Intelligent prediction of transformer faults and severities based on dissolved gas analysis integrated with thermodynamics theory
- (2018) Sherif S.M. Ghoneim IET Science Measurement & Technology
- Data-Based Line Trip Fault Prediction in Power Systems Using LSTM Networks and SVM
- (2018) Senlin Zhang et al. IEEE Access
- LSTM Fully Convolutional Networks for Time Series Classification
- (2018) Fazle Karim et al. IEEE Access
- Prediction of Sea Surface Temperature Using Long Short-Term Memory
- (2017) Qin Zhang et al. IEEE Geoscience and Remote Sensing Letters
- Dissolved gas analysis of insulating oil for power transformer fault diagnosis with deep belief network
- (2017) Jiejie Dai et al. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
- Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification
- (2017) Ping Zhong et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Video Captioning With Attention-Based LSTM and Semantic Consistency
- (2017) Lianli Gao et al. IEEE TRANSACTIONS ON MULTIMEDIA
- A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines
- (2017) Na Lu et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Conditional probability-based interpretation of dissolved gas analysis for transformer incipient faults
- (2017) Ibrahim B.M. Taha et al. IET Generation Transmission & Distribution
- Effective Spectral and Excitation Modeling Techniques for LSTM-RNN-Based Speech Synthesis Systems
- (2017) Eunwoo Song et al. IEEE-ACM Transactions on Audio Speech and Language Processing
- A Multi-Classifier System for Automatic Mitosis Detection in Breast Histopathology Images Using Deep Belief Networks
- (2017) K. Sabeena Beevi et al. IEEE Journal of Translational Engineering in Health and Medicine-JTEHM
- Integrated ANN-based proactive fault diagnostic scheme for power transformers using dissolved gas analysis
- (2016) Sherif S. M. Ghoneim et al. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
- Interpretation of DGA for transformer fault diagnosis with complementary SaE-ELM and arctangent transform
- (2016) Shuaibing Li et al. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
- Optimal dissolved gas ratios selected by genetic algorithm for power transformer fault diagnosis based on support vector machine
- (2016) Jinzhong Li et al. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
- Application of Gene Expression Programming (GEP) in Power Transformers Fault Diagnosis Using DGA
- (2016) Hasmat Malik et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Study of "code absence" in the IEC three-ratio method of dissolved gas analysis
- (2015) Zhi-xiong Liu et al. IEEE ELECTRICAL INSULATION MAGAZINE
- Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network
- (2015) Yushi Chen et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- A comprehensive comparative study of DGA based transformer fault diagnosis using fuzzy logic and ANFIS models
- (2015) Shakeb A. Khan et al. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
- Development and evaluation of a new DGA diagnostic method based on thermodynamics fundamentals
- (2015) Vinicius Cruz et al. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
- Dissolved gas analysis technique for incipient fault diagnosis in power transformers: A bibliographic survey
- (2010) Sukhbir Singh et al. IEEE ELECTRICAL INSULATION MAGAZINE
- Power Transformer Differential Protection Based On Optimal Probabilistic Neural Network
- (2009) M. Tripathy et al. IEEE TRANSACTIONS ON POWER DELIVERY
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started