5 papers
Virtual Temperature Sensors in Power Transformers Using Neural Ordinary Differential Equations
Berk Hadzhamolla, Alexander Johannes Stasik, Signe Riemer-Sørensen
Accurate modeling and forecasting of power transformer thermal behavior are critical for reliability, asset lifetime, and optimized power system operation. Numerical approaches suc…
Fast Bayesian equipment condition monitoring via simulation based inference: applications to heat exchanger health
Peter Collett, Alexander Johannes Stasik, Simone Casolo +1
Accurate condition monitoring of industrial equipment requires inferring latent degradation parameters from indirect sensor measurements under uncertainty. While traditional Bayesi…
Analysis of Full-scale Riser Responses in Field Conditions Based on Gaussian Mixture Model
Jie Wu, Sølve Eidnes, Jingzhe Jin +5
Offshore slender marine structures experience complex and combined load conditions from waves, current and vessel motions that may result in both wave frequency and vortex shedding…
Testing Topological Data Analysis for Condition Monitoring of Wind Turbines
Simone Casolo, Alexander Stasik, Zhenyou Zhang +1
We present an investigation of how topological data analysis (TDA) can be applied to condition-based monitoring (CBM) of wind turbines for energy generation. TDA is a branch of dat…
Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling
Pål V. Johnsen, Eivind Bøhn, Sølve Eidnes +2
Time-series modeling in process industries faces the challenge of dealing with complex, multi-faceted, and evolving data characteristics. Conventional single model approaches often…