34 citations · 38 across the 3 of their papers we have counts for
4 papers
A Cost-Sensitive Transformer Model for Prognostics Under Highly Imbalanced Industrial Data
Ali Beikmohammadi, Mohammad Hosein Hamian, Neda Khoeyniha +3
The rapid influx of data-driven models into the industrial sector has been facilitated by the proliferation of sensor technology, enabling the collection of vast quantities of data…
SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance
Zahra Kharazian, Tony Lindgren, Sindri Magnússon +2
Predicting failures and maintenance time in predictive maintenance is challenging due to the scarcity of comprehensive real-world datasets, and among those available, few are of ti…
Automotive Multilingual Fault Diagnosis
John Pavlopoulos, Alv Romell, Jacob Curman +3
Automated fault diagnosis can facilitate diagnostics assistance, speedier troubleshooting, and better-organised logistics. Currently, AI-based prognostics and health management in…
Hierarchical Bayesian Modelling for Knowledge Transfer Across Engineering Fleets via Multitask Learning
L. A. Bull, D. Di Francesco, M. Dhada +5
A population-level analysis is proposed to address data sparsity when building predictive models for engineering infrastructure. Utilising an interpretable hierarchical Bayesian ap…