Publicaties
Gekozen filters:
Gekozen filters:
Differentiable Short-Time Fourier Transform Window Length Selection Driven by Cyclo-Stationarity KU Leuven
Informed sparsity-based blind filtering in the presence of second-order cyclostationary noise Vrije Universiteit Brussel
This study investigates the potential to improve the fault detection capability of sparsity-based blind filtering. It optimizes a finite impulse response filter to maximize the sparsity of the squared envelope spectrum (SES) of vibration signals. However, the method is to be highly prone to fail optimization due to the immense number of non-fault-related second-order cyclostationary interferences. These interferences can skew the sparsity ...
Anomaly detection on the cutter bar of a combine harvester using cyclostationary analysis KU Leuven
Driven by increasing food demand and the urgent need for intelligent land use, the size and complexity of agricultural machinery has increased significantly. Monitoring the operation of machines during long working days is a very challenging task for the operators. Automatic monitoring systems can lighten the load and also pave the way towards fully autonomous machines. This paper proposes an automatic condition monitoring system for detecting ...
Vibration based condition monitoring of wind turbine gearboxes based on cyclostationary analysis KU Leuven
Copyright © 2019 by ASME. Wind industry experiences a tremendous growth during the last few decades. As of the end of 2016, the worldwide total installed electricity generation capacity from wind power amounted to 486,790 MW, presenting an increase of 12.5% compared to the previous year. Nowadays wind turbine manufacturers tend to adopt new business models proposing total health monitoring services and solutions, using regular inspections or ...
Vibration based condition monitoring of helicopter gearboxes based on cyclostationary analysis KU Leuven
Multi-fault diagnosis based on bi-frequency cyclostationary maps clustering KU Leuven
© Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics. All rights reserved. Condition monitoring of rotating machinery is a field of intensive research. One of the most powerful diagnostic tools are based on the cyclostationary properties of the signals. In this paper an advanced signal processing diagnostic tool is introduced based ...