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Environmental and operational conditions effects on Lamb wave based structural health monitoring systems: A review
Lamb wave is widely recognized as one of the most encouraging tools for structural health
monitoring (SHM) systems. In spite of many favourable characteristics of Lamb wave for …
monitoring (SHM) systems. In spite of many favourable characteristics of Lamb wave for …
Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data
This paper presents a new methodology–based on cointegration analysis of Supervisory
Control And Data Acquisition (SCADA) data–for condition monitoring and fault diagnosis of …
Control And Data Acquisition (SCADA) data–for condition monitoring and fault diagnosis of …
Johansen cointegration of frequency response functions contaminated with nonstationary colored noise for structural damage detection
S Hassani, M Mousavi, U Dackermann - Journal of Sound and Vibration, 2023 - Elsevier
This study proposes an effective damage detection method for laminated composite
structures under the influence of nonstationary colored noise using condensed Frequency …
structures under the influence of nonstationary colored noise using condensed Frequency …
Structural health monitoring under environmental and operational variations using MCD prediction error
M Mousavi, AH Gandomi - Journal of Sound and Vibration, 2021 - Elsevier
This paper proposes a novel technique that aims at detecting the effect of damage on
structural frequency signals as “bad” outliers. To this end, a procedure is developed based …
structural frequency signals as “bad” outliers. To this end, a procedure is developed based …
Prediction error of Johansen cointegration residuals for structural health monitoring
M Mousavi, AH Gandomi - Mechanical Systems and Signal Processing, 2021 - Elsevier
A novel method for structural health monitoring under environmental and operational
variations (EOV) is proposed based on the prediction errors of the Johansen cointegartion …
variations (EOV) is proposed based on the prediction errors of the Johansen cointegartion …
Ice monitoring of a full‐scale wind turbine blade using ultrasonic guided waves under varying temperature conditions
The icing of wind turbine blades is a common problem in cold climate area. Ice accretion on
wind turbines, particularly turbine blades, can cause a variety of problems. The extreme …
wind turbines, particularly turbine blades, can cause a variety of problems. The extreme …
Monitoring onsite‐temperature prediction error for condition monitoring of civil infrastructures
M Mousavi, AH Gandomi… - Structural Control and …, 2022 - Wiley Online Library
An inverse input–output method is proposed for long‐term condition monitoring of civil
infrastructures through monitoring the prediction error of air temperature recorded at the site …
infrastructures through monitoring the prediction error of air temperature recorded at the site …
A new regime-switching cointegration method for structural health monitoring under changing environmental and operational conditions
J Huang, D Li, H Li - Measurement, 2023 - Elsevier
Traditional vibration-based detection methods seek to detect structural damage based on
changes in dynamic features, which assume that changes in dynamic features are solely …
changes in dynamic features, which assume that changes in dynamic features are solely …
Cointegration and how it works for structural health monitoring
PB Dao, WJ Staszewski - Measurement, 2023 - Elsevier
Cointegration theory has been effectively applied to SHM. However, there is no work that
has focused on explaining specifically how cointegration can be applied to SHM problems …
has focused on explaining specifically how cointegration can be applied to SHM problems …
Lamb wave based structural damage detection using cointegration and fractal signal processing
PB Dao, WJ Staszewski - Mechanical Systems and Signal Processing, 2014 - Elsevier
The paper demonstrates how to remove the undesired temperature effect from Lamb wave
data in order to detect structural damage accurately. The method used is based on the …
data in order to detect structural damage accurately. The method used is based on the …