Damage detection on the blade of an operating wind turbine via a single vibration sensor and statistical time series methods: Exploring the performance limits of robust methods
Author(s): |
Andeas Panagiotopoulos
(Department of Mechanical Engineering & Aeronautics, University of Patras, Stochastic Mechanical Systems & Automation (SMSA) Laboratory, Patras, Greece.)
Tcherniak Dmitri (Hottinger Bruel and Kjaer, Sound and Vibration, Nærum, Denmark) Fassois D. Spilios (Department of Mechanical Engineering & Aeronautics, University of Patras, Stochastic Mechanical Systems & Automation (SMSA) Laboratory, Patras, Greece.) |
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Medium: | journal article |
Language(s): | English |
Published in: | Structural Health Monitoring, November 2019, n. 1, v. 22 |
Page(s): | 147592172210944 |
DOI: | 10.1177/14759217221094493 |
- About this
data sheet - Reference-ID
10680447 - Published on:
18/06/2022 - Last updated on:
20/02/2023