Launch week offerEnds in00h00m00s

annual Promonthly Pro

Khang huynh

Professor

University of Agder

Norway

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Norway Professors in Electrical Engineering Electrical Engineering professors in Norway

About

Dr. Khang Huynh is a Lecturer at the University of Agder, Norway. His research primarily focuses on artificial intelligence applications in power generation, fault diagnosis in electrical systems, and predictive maintenance for renewable energy technologies. Recent publications highlight advancements in AI-based prediction models, digital twin technology, and the integration of multiple renewable energy sources.

Articles (25)

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Collaborators (10)

Ha Duy Hung

VSB - Technical University of Ostrava

CZECH REPUBLIC

View details

Tatiana Minav

Assistant professor

University of Tampere

FINLAND

View details

Karolina Kudelina

Junior Researcher

Tallinn University of Technology

ESTONIA

View details

Toomas Vaimann

Tallinn University of Technology

ESTONIA

View details

Janis Zakis

Senior Researcher

Riga Technical University

LATVIA

View details

Ants Kallaste

Professor

Tallinn University of Technology

ESTONIA

View details

Jagath Sri Lal Senanayaka

Associate Professor

Norwegian University of Life Sciences

NORWAY

View details

LINGA REDDY CENKERAMADDI

Professor

Universitetet i Agder - Campus Grimstad

NORWAY

View details

Ajit Jha

Associate Professor

University of Agder

NORWAY

View details

Anton Rassõlkin

Tenured Associate Professor

Tallinn University of Technology

ESTONIA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Khang huynh

Research Interests

Make your next move.

Explore related searches

About

Articles (25)

Domain Knowledge-Informed Few-Shot Fault Diagnosis of Multiple Low-Severity Faults in PMSGs Under Imbalanced Loads

AI-Based Hydraulic and Electrical Fault Identification in Direct-Driven Hydraulic Systems

Physics-Guided Cycle-Consistency Training for Stator Winding Fault Diagnosis in Synchronous Generators without Experimental Fault Data

Robust Fault Classification in Permanent Magnet Synchronous Machines Under Dynamic and Noisy Conditions

Robust Multiple-Fault Diagnosis of PMSMs in Dynamic Operations Under Imbalanced Datasets

Robust Self-Augmented Open-Circuit Fault Diagnosis of Three-Level Inverters for EV Powertrains

A Two-Stage Framework for Fault and Cyber Attack Detection in Line Current Differential Relays of Power Transmission Network

Harmonic-Based Analytical Model for Detecting Stator-Winding Short Circuit and Eccentricity Faults in Wound-Field Synchronous Generators

The Impact of the Weather Forecast Model on Improving AI-Based Power Generation Predictions through BiLSTM Networks

A Few-Shot Open-Circuit Fault Diagnosis of F-Type Inverters Using CGAN-Based Vision Transformer

Time–Frequency Analysis and Fault Prediction of Motor Bearings Using Millimeter-Wave Radar

Digital Twin as a Virtual Sensor for Wind Turbine Applications

Exploring the Limits of Early Predictive Maintenance in Wind Turbines Applying an Anomaly Detection Technique

A Current Spectrum-Based Algorithm for Fault Detection of Electrical Machines Using Low-Power Data Acquisition Devices

Robust Multiple-Fault Diagnosis of PMSM Drives Under Variant Operations and Noisy Conditions

Robust Active Learning Multiple Fault Diagnosis of PMSM Drives with Sensorless Control under Dynamic Operations and Imbalanced Datasets

Integrated Multiport DC-DC and Multilevel Converters for Multiple Renewable Energy Source Integration

Novel Isolated Multiport DC Converter with Natural Bipolar Symmetry for Renewable Energy Source Integration to DC Grids

Power Line Monitoring through Data Integrity Analysis with Q-Learning Based Data Analysis Network

Signal Spectrum-Based Machine Learning Approach for Fault Prediction and Maintenance of Electrical Machines

Real-Time Detection of Incipient Inter-Turn Short Circuit and Sensor Faults in Permanent Magnet Synchronous Motor Drives Based on Generalized Likelihood Ratio Test and Structural Analysis

Cascaded Multilevel Inverter-Based Asymmetric Static Synchronous Compensator of Reactive Power

Mixed Fault Classification of Sensorless PMSM Drive in Dynamic Operations Based on External Stray Flux Sensors

Methods of Condition Monitoring and Fault Detection for Electrical Machines

Field Reconstruction for Modelling Multiple Faults in Permanent Magnet Synchronous Motors in Transient States

Collaborators (10)

Ha Duy Hung

Tatiana Minav

Karolina Kudelina

Toomas Vaimann

Janis Zakis

Ants Kallaste

Jagath Sri Lal Senanayaka

LINGA REDDY CENKERAMADDI

Ajit Jha

Anton Rassõlkin

Make your next move.