activity
20192025
most citedScientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future

131 citations · 136 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2025

Early Multimodal Prediction of Cross-Lingual Meme Virality on Reddit: A Time-Window Analysis

Sedat Dogan, Nina Dethlefs, Debarati Chakraborty

Memes are a central part of online culture, yet their virality remains difficult to predict, especially in cross-lingual settings. We present a large-scale, time-series dataset of…

cs.CL2024

SafeLLM: Domain-Specific Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance

Connor Walker, Callum Rothon, Koorosh Aslansefat +2

The Offshore Wind (OSW) industry is experiencing significant expansion, resulting in increased Operations \& Maintenance (O\&M) costs. Intelligent alarm systems offer the prospect…

cs.LG2022

A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms

Connor Walker, Callum Rothon, Koorosh Aslansefat +2

With an increasing emphasis on driving down the costs of Operations and Maintenance (O&M) in the Offshore Wind (OSW) sector, comes the requirement to explore new methodology and ap…

cs.AI2022★ 131 cited

Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future

Joyjit Chatterjee, Nina Dethlefs

Wind energy has emerged as a highly promising source of renewable energy in recent times. However, wind turbines regularly suffer from operational inconsistencies, leading to signi…

cs.AI2020★ 5 cited

XAI4Wind: A Multimodal Knowledge Graph Database for Explainable Decision Support in Operations & Maintenance of Wind Turbines

Joyjit Chatterjee, Nina Dethlefs

Condition-based monitoring (CBM) has been widely utilised in the wind industry for monitoring operational inconsistencies and failures in turbines, with techniques ranging from sig…

cs.LG2019

A Deep Learning Approach Towards Prediction of Faults in Wind Turbines

Joyjit Chatterjee, Nina Dethlefs

With the rising costs of conventional sources of energy, the world is moving towards sustainable energy sources including wind energy. Wind turbines consist of several electrical a…