2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Multivariate Data Augmentation for Predictive Maintenance using Diffusion
Andrew Thompson, Alexander Sommers, Alicia Russell-Gilbert +7
Predictive maintenance has been used to optimize system repairs in the industrial, medical, and financial domains. This technique relies on the consistent ability to detect and pre…
AAD-LLM: Adaptive Anomaly Detection Using Large Language Models
Alicia Russell-Gilbert, Alexander Sommers, Andrew Thompson +7
For data-constrained, complex and dynamic industrial environments, there is a critical need for transferable and multimodal methodologies to enhance anomaly detection and therefore…
Explainable Anomaly Detection: Counterfactual driven What-If Analysis
Logan Cummins, Alexander Sommers, Sudip Mittal +4
There exists three main areas of study inside of the field of predictive maintenance: anomaly detection, fault diagnosis, and remaining useful life prediction. Notably, anomaly det…
A Survey of Transformer Enabled Time Series Synthesis
Alexander Sommers, Logan Cummins, Sudip Mittal +4
Generative AI has received much attention in the image and language domains, with the transformer neural network continuing to dominate the state of the art. Application of these m…