Bram Cornelis
Siemens
32 Papers
175 Citations
Bram Cornelis is an academic researcher from Siemens. The author has contributed to research in topics: Wiener filter & Noise reduction. The author has an hindex of 9, co-authored 32 publications. Previous affiliations of Bram Cornelis include Katholieke Universiteit Leuven & UGS Corp..
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Papers
Theoretical Analysis of Binaural Multimicrophone Noise Reduction Techniques
TL;DR: Two extensions of the binaural SDW-MWF are proposed to improve the binural cue preservation and are able to preserve bINAural cues for the speech and noise sources, while still achieving significant noise reduction performance.
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Multibody model based estimation of multiple loads and strain field on a vehicle suspension system
Enrico Risaliti,Enrico Risaliti,Tommaso Tamarozzi,Tommaso Tamarozzi,Martijn Vermaut,Martijn Vermaut,Bram Cornelis,Wim Desmet,Wim Desmet +8 more
TL;DR: It is demonstrated that a flexible multibody model representation allows to accurately reconstruct the time domain signals of the six loads and of the full strain field, starting from a minimal set of six measured strains, hence providing an appealing alternative to direct measurement methods.
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A general anomaly detection framework for fleet-based condition monitoring of machines
Kilian Hendrickx,Kilian Hendrickx,Wannes Meert,Yves Mollet,Yves Mollet,Johan Gyselinck,Bram Cornelis,Konstantinos Gryllias,Jesse Davis +8 more
TL;DR: This work proposes an unsupervised, generic, anomaly detection framework for fleet-based condition monitoring that uses generic building blocks and offers three key advantages: it allows incorporating domain expertise by user-defined comparison measures, easy interpretability allows a domain expert to validate the predictions made by the framework.
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Synthesis of Sine-on-Random vibration profiles for accelerated life tests based on fatigue damage spectrum equivalence
TL;DR: In this paper, the potential advantages of a novel procedure to synthesize SoR profiles instead of Power Spectral Density (PSD) for qualification tests are presented and supported by the results of an experimental campaign.
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Removing disturbing harmonics in operational modal analysis
Bart Peeters,Bram Cornelis,Karl Janssens,Herman Van der Auweraer +3 more
- 01 Jan 2007
TL;DR: In this article, a method that serves this purpose is discussed, where the fundamental frequency of the disturbing harmonics is not known, it will be estimated by applying a tacho-less rpm extraction procedure.
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