Adaptive feature extraction and fault diagnosis for three-phase inverter based on hybrid-CNN models under variable operating conditions
出版年份 2021 全文链接
标题
Adaptive feature extraction and fault diagnosis for three-phase inverter based on hybrid-CNN models under variable operating conditions
作者
关键词
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出版物
Complex & Intelligent Systems
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-04-04
DOI
10.1007/s40747-021-00337-6
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A deep learning method for motor fault diagnosis based on a capsule network with gate-structure dilated convolutions
- (2020) Yu Liang et al. NEURAL COMPUTING & APPLICATIONS
- The application of machine learning for the Prognostics and Health Management of control element drive system
- (2020) Jae-Cheon Jung et al. Nuclear Engineering and Technology
- Rolling-Element Bearing Fault Diagnosis Using Improved LeNet-5 Network
- (2020) Lanjun Wan et al. SENSORS
- A Guideline for Reliability Prediction in Power Electronic Converters
- (2020) Saeed Peyghami et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- Prognostics of Health Measures for Machines With Aging and Dynamic Cumulative Damage
- (2020) Chaoqun Duan et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Simultaneous fault diagnosis of wind turbine using multichannel convolutional neural networks
- (2020) Samira Zare et al. ISA TRANSACTIONS
- Advanced classification of converter control concepts for integration in electrical power systems
- (2020) Stefan Henninger et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- An adaptive data fusion strategy for fault diagnosis based on the convolutional neural network
- (2020) Shi Li et al. MEASUREMENT
- A comprehensive review on convolutional neural network in machine fault diagnosis
- (2020) Jinyang Jiao et al. NEUROCOMPUTING
- A New Complete Condition Monitoring Method for SiC Power MOSFETs
- (2020) Enes Ugur et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review
- (2020) B. Li et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- An Overview of Artificial Intelligence Applications for Power Electronics
- (2020) Shuai Zhao et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- Detection and Identification of Multiple IGBT Open-Circuit Faults in Three-Phase PWM Inverters for AC Motor Drives
- (2019) DONG-CHOON LEE et al. IET Power Electronics
- A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion
- (2019) Gong et al. SENSORS
- Current observer-based online open-switch fault diagnosis for voltage-source inverter
- (2019) Chen Yong et al. ISA TRANSACTIONS
- Convolutional neural network (CNNs) based image diagnosis for failure analysis of power devices
- (2019) Akihiko Watanabe et al. MICROELECTRONICS RELIABILITY
- Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery
- (2019) Biao Wang et al. NEUROCOMPUTING
- Analysis of various optimizers on deep convolutional neural network model in the application of hyperspectral remote sensing image classification
- (2019) Somenath Bera et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Neuroevolutionary based convolutional neural network with adaptive activation functions
- (2019) Roxana ZahediNasab et al. NEUROCOMPUTING
- Data-Driven Approach for Fault Prognosis of SiC MOSFETs
- (2019) Weiqiang Chen et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- Open-circuit fault diagnosis of power rectifier using sparse autoencoder based deep neural network
- (2018) Lin Xu et al. NEUROCOMPUTING
- Anomaly detection and predictive maintenance for photovoltaic systems
- (2018) Massimiliano De Benedetti et al. NEUROCOMPUTING
- Optimal allocation of prognostics and health management capabilities to improve the reliability of a power transmission network
- (2018) Michele Compare et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Planetary gearbox fault feature learning using conditional variational neural networks under noise environment
- (2018) You-ren Wang et al. KNOWLEDGE-BASED SYSTEMS
- On-line fault diagnosis model for locomotive traction inverter based on wavelet transform and support vector machine
- (2018) Mei Fei et al. MICROELECTRONICS RELIABILITY
- Simple and effective open switch fault diagnosis of single-phase PWM rectifier
- (2018) Keting Hu et al. MICROELECTRONICS RELIABILITY
- Transistor open-circuit fault diagnosis in two-level three-phase inverter based on similarity measurement
- (2018) Cuicui Hang et al. MICROELECTRONICS RELIABILITY
- A data- and ontology-driven text mining-based construction of reliability model to analyze and predict component failures
- (2015) Dnyanesh Rajpathak et al. KNOWLEDGE AND INFORMATION SYSTEMS
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