Abstract
Vibration signals of machinery typically consist of various types of signal content. Two such types can be classified as stochastic and deterministic. In the past, several methods have been developed to tackle the separation of these two categories. One such solution is the Discrete/Random Separation method which estimates a frequency-domain transfer function from the signal to separate the predictable periodic content from the random content. Two of the downsides of the existing Discrete/Random Separation method in its current form are the variance of the estimated filter and its dependency on the time delay choice. This paper investigates the potential to alleviate these downsides by extending the definition of the filter from a single-delay to a multi-delay filter estimation procedure. This extension improves the reliability of the filter for practical usage and reduces the dependency of the result on the chosen filter delay. The improved DRS filter is examined on both simulated and experimental wind turbine gearbox vibration data.
| Original language | English |
|---|---|
| Title of host publication | Separation of vibration signal content using an improved discrete-random separation method |
| Editors | W. Desmet, B. Pluymers, D. Moens, S. Vandemaele |
| Publisher | ISMA 2020 |
| Pages | 1-9 |
| Number of pages | 9 |
| ISBN (Electronic) | 9789082893113 |
| Publication status | Published - 2020 |
| Event | ISMA 2020 - Leuven, Leuven, Belgium Duration: 22 Sept 2020 → 24 Sept 2020 |
Publication series
| Name | Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics |
|---|
Conference
| Conference | ISMA 2020 |
|---|---|
| Country/Territory | Belgium |
| City | Leuven |
| Period | 22/09/20 → 24/09/20 |
Bibliographical note
Funding Information:The authors would like to sincerely thank the National Renewable Energy Laboratory for providing the well-documented data sets and for organizing the wind turbine gearbox condition monitoring round robin study, which produced a lot of interesting research content. The authors would also like to acknowledge the support of De Blauwe Cluster through the project Supersized 4.0. This research was also supported by funding from the Flemish Government under the “Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen” programme.
Publisher Copyright:
© 2020 Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics. All rights reserved.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.