Olof Steinert

According to our database, Olof Steinert authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automotive fault nowcasting with machine learning and natural language processing.

John Pavlopoulos, Alv Romell, Jacob Curman, Olof Steinert, Tony Lindgren, Markus Borg, Korbinian Randl

Mach. Learn., February, 2024

A Cost-Sensitive Transformer Model for Prognostics Under Highly Imbalanced Industrial Data.

Ali Beikmohammadi, Mohammad Hosein Hamian, Neda Khoeyniha, Tony Lindgren, Olof Steinert, Sindri Magnússon

CoRR, 2024

SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance.

Zahra Kharazian, Tony Lindgren, Sindri Magnússon, Olof Steinert, Oskar Andersson Reyna

CoRR, 2024

2023

Weibull recurrent neural networks for failure prognosis using histogram data.

Maharshi Harshadbhai Dhada, Ajith Kumar Parlikad, Olof Steinert, Tony Lindgren

Neural Comput. Appl., February, 2023

Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning.

Lawrence A. Bull, Domenic Di Francesco, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami

Comput. Aided Civ. Infrastructure Eng., 2023

Robust Contrastive Learning and Multi-shot Voting for High-dimensional Multivariate Data-driven Prognostics.

Kaiji Sun, Sindri Magnússon, Olof Steinert, Tony Lindgren

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

2022

Automotive Multilingual Fault Diagnosis.

John Pavlopoulos, Alv Romell, Jacob Curman, Olof Steinert, Tony Lindgren, Markus Borg

CoRR, 2022

Knowledge Transfer in Engineering Fleets: Hierarchical Bayesian Modelling for Multi-Task Learning.

Lawrence A. Bull, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami

CoRR, 2022

Low dimensional synthetic data generation for improving data driven prognostic models.

Tony Lindgren, Olof Steinert

Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022

2019

Remaining useful life Prediction of air spring.

Farzaneh Ahmadzadeh, Jonas Biteus, Olof Steinert

Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019