Quantitative Assessment of Nonstationarity of Wind Speed Signal Using Recurrence Plot
Publication: Journal of Aerospace Engineering
Volume 32, Issue 6
Abstract
The wind records in a basic interval are usually regarded as a stationary random process in analysis of wind characteristics. However, field measurements have also captured nonstationary features of the boundary layer wind during extreme wind events. To reasonably characterize the wind records, the nonstationarity of the signals should be evaluated properly before signal processing. In this study, the local recurrence rate loss (LRRL) is proposed as a novel recurrence measure for nonstationarity evaluation of wind records. Specifically, the LRRL is defined as the quality loss function (QLF) of the local recurrence rate (LRR) that is conducted from the recurrence plot (RP) using the recurrence quantification analysis (RQA). To demonstrate the feasibility of the proposed LRRL, five typical signals are utilized first to evaluate its performance. Subsequently, the extreme wind records collected from the structural health monitoring system (SHMS) installed on the Sutong Bridge is employed to further assess the performance of the proposed LRRL. For both the synthetic signals and real-time wind records, the commonly used measure recurrence trend (RT) is presented for comparison purpose. The results show that the proposed LRRL performs better than the RT in nonstationarity evaluation of both the synthetic signals and real-time wind records.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
The support from the National 973 Program of the Special Program for Young Scholars (No. 2015CB060000), the National Science Foundation of China (No. 51722804), the National Ten Thousand Talent Program for Young Top-notch Talents, the Jiangsu Transportation Scientific research project (No. 8505001498), and the Jiangsu Key R&D Plan (BE2018120) are greatly acknowledged.
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Published In
Journal of Aerospace Engineering
Volume 32 • Issue 6 • November 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Nov 29, 2018
Accepted: Jun 17, 2019
Published online: Aug 20, 2019
Published in print: Nov 1, 2019
Discussion open until: Jan 20, 2020
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