Lukas Felsberger

About Lukas Felsberger

Lukas Felsberger, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Ludwig-Maximilians-Universität München, specializes in the field of Reliability, Statistical modeling, Time Series.

His recent articles reflect a diverse array of research interests and contributions to the field:

Interpretable Anomaly Detection in the LHC Main Dipole Circuits with Non-Negative Matrix Factorization

Availability Targets Scaled According to Assurance Complexity in the FCC-ee

Machine Protection and Availability in the FCC-ee

Example or prototype? learning concept-based explanations in time-series

Explainable machine learning for breakdown prediction in high gradient rf cavities

JACoW: Machine Learning Models for Breakdown Prediction in RF Cavities for Accelerators

Availability Modeling of the Solid-State Power Amplifiers for the CERN SPS RF Upgrade

Quantitative methods for data driven reliability optimization of engineered systems

Lukas Felsberger Information

University

Position

CERN

Citations(all)

1885

Citations(since 2020)

1876

Cited By

23

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Lukas Felsberger Skills & Research Interests

Reliability

Statistical modeling

Time Series

Top articles of Lukas Felsberger

Interpretable Anomaly Detection in the LHC Main Dipole Circuits with Non-Negative Matrix Factorization

IEEE Transactions on Applied Superconductivity

2024/2/8

Availability Targets Scaled According to Assurance Complexity in the FCC-ee

2023/11/13

Lukas Felsberger
Lukas Felsberger

H-Index: 3

Machine Protection and Availability in the FCC-ee

2023/11/13

Lukas Felsberger
Lukas Felsberger

H-Index: 3

Example or prototype? learning concept-based explanations in time-series

2023/4/13

Explainable machine learning for breakdown prediction in high gradient rf cavities

Physical Review Accelerators and Beams

2022/10/4

JACoW: Machine Learning Models for Breakdown Prediction in RF Cavities for Accelerators

JACoW IPAC

2021

Lukas Felsberger
Lukas Felsberger

H-Index: 3

Franz Pernkopf
Franz Pernkopf

H-Index: 21

Availability Modeling of the Solid-State Power Amplifiers for the CERN SPS RF Upgrade

2021/8/19

Quantitative methods for data driven reliability optimization of engineered systems

2021/1/25

Lukas Felsberger
Lukas Felsberger

H-Index: 3

Explainable deep learning for fault prognostics in complex systems: A particle accelerator use-case

2020

See List of Professors in Lukas Felsberger University(Ludwig-Maximilians-Universität München)