Multi-modal information analysis for fault diagnosis with time-series data from power transformer

Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties

(2022) Mahmoud Elsisi et al.   MEASUREMENT

High voltage power transformer condition assessment considering the health index value and its decreasing rate

(2021) Winanda Riga Tamma et al.   High Voltage

Deep residual pooling network for texture recognition

(2021) Shangbo Mao et al.   PATTERN RECOGNITION

Effective multi-sensor data fusion for chatter detection in milling process

(2021) Minh-Quang Tran et al.   ISA TRANSACTIONS

Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning

(2021) Wei Zhang et al.   IEEE Transactions on Industrial Informatics

Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks With Data Privacy

(2021) Wei Zhang et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Effective feature selection with fuzzy entropy and similarity classifier for chatter vibration diagnosis

(2021) Minh-Quang Tran et al.   MEASUREMENT

Development of an IoT Architecture Based on a Deep Neural Network against Cyber Attacks for Automated Guided Vehicles

(2021) Mahmoud Elsisi et al.   SENSORS

An improved emperor penguin optimization based multilevel thresholding for color image segmentation

(2020) Zhikai Xing   KNOWLEDGE-BASED SYSTEMS

Importance of core joints in GIC/dc studies with scaled down laboratory transformers

(2020) Leslie D. Borrill et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Transformer hot spot temperature prediction based on basic operator information

(2020) D.P. Rommel et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A temperature-based fault pre-warning method for the dry-type transformer in the offshore oil platform

(2020) Yuanyuan Sun et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Federated learning for machinery fault diagnosis with dynamic validation and self-supervision

(2020) Wei Zhang et al.   KNOWLEDGE-BASED SYSTEMS

CASNet: A Cross-Attention Siamese Network for Video Salient Object Detection

(2020) Yuzhu Ji et al.   IEEE Transactions on Neural Networks and Learning Systems

Adversarial Learning With Multi-Modal Attention for Visual Question Answering

(2020) Yun Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

Infrared Image Detection of Substation Insulators Using an Improved Fusion Single Shot Multibox Detector

(2020) Hanbo Zheng et al.   IEEE TRANSACTIONS ON POWER DELIVERY

Dynamic Fault Prediction of Power Transformers Based on Hidden Markov Model of Dissolved Gases Analysis

(2019) Jun Jiang et al.   IEEE TRANSACTIONS ON POWER DELIVERY

A Temporally Irreversible Visual Attention Model Inspired by Motion Sensitive Neurons

(2019) Jiawei Xu et al.   IEEE Transactions on Industrial Informatics

An integrated method of ANFIS and Dempster-Shafer theory for fault diagnosis of power transformer

(2018) Tusongjiang Kari et al.   IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION

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

Evolutionary multi-objective fault diagnosis of power transformers

(2017) Abdolrahman Peimankar et al.   Swarm and Evolutionary Computation

A new fault diagnostic technique in oil-filled electrical equipment; the dual of Duval triangle

(2016) G. K. Irungu et al.   IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION

Prototype of a Negative-Sequence Turn-to-Turn Fault Detection Scheme for Transformers

(2016) Daniel Zacharias et al.   IEEE TRANSACTIONS ON POWER DELIVERY

Application of neuro-fuzzy scheme to investigate the winding insulation paper deterioration in oil-immersed power transformer

(2013) Hasmat Malik et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS