Vibro-acoustic amplitude and frequency modulations during fatigue damage evolution

Donskoy, Dimitri; Golchinfar, Behnoush; Ramezani, Majid; Rutner, Marcus; Hassiotis, Sophia

doi:10.1063/1.5099754

Cited by 7 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Equivalent experiment setups have been used in existing studies, and the MI has shown to be sensitive to fatigue damage accumulation, showing an increase after 70%–80% of the fatigue lifetime. 20 Strong increases of the MI occur in the presence of microcracks in the range of tens to hundreds of µm, which have been verified with electron microscopes. 12 In this work, we do not use additional measurement techniques to verify damage presence or size, but we compare the results from the proposed method to the MI.…”

Section: Discussionmentioning

confidence: 63%

Nonlinear modulation with low-power sensor networks using undersampling

Oppermann

Dorendorf

Rutner

et al. 2021

Structural Health Monitoring

Self Cite

View full text Add to dashboard Cite

Nonlinear modulation is a promising technique for ultrasonic non-destructive damage identification. A wireless sensor network is ideally suited to monitor large structures using nonlinear modulation in a cost-efficient manner. However, existing approaches rely on high sampling rates and resource-demanding computations that are not feasible on low-cost and low-power sensor network devices. We present a new damage indicator that uses the short-time Fourier transform to derive amplitude and phase modulation with less computational effort and memory usage. Evaluation of the proposed method using real experiment data exhibits performance and reliability similar to the conventionally used modulation index. Undersampling is demonstrated, which reduces the memory demand in a test scenario by more than 100 times, and the required energy for sampling and processing more than four times. The loss of accuracy introduced by undersampling is shown to be negligible.

show abstract

Section: Discussionmentioning

confidence: 63%

Nonlinear modulation with low-power sensor networks using undersampling

Oppermann

Dorendorf

Rutner

et al. 2021

Structural Health Monitoring

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the VAM method using harmonic probe wave, the Modulation Index (MI) is often used as a measure to assess the level of non-linearity [50,56]…”

Section: Comparison Between Traditional Vam (Active Vibration) and Pr...mentioning

confidence: 99%

Wideband Vibro-Acoustic Modulation for Crack Detection in Wind Turbine Blades

Alnutayfat,

Sutin

2023

Applied Sciences

View full text Add to dashboard Cite

Wind turbines (WT) are a popular method used in energy production, but blade failure and maintenance costs pose significant challenges for the industry. Early detection of blade defects is vital to prevent collapse. This paper examines the modulation of blade vibrations via low-frequency blade rotation, mirroring the vibro-acoustic modulation (VAM) method. Specifically, we study the modulation of blade vibrations, which are generated via blade interactions with air turbulence and have a wide frequency range. These vibrations are modulated by the alternating bending stress experienced during blade rotation. For the simulation of VAM, we employ a simple breathing crack model, which considers a mechanical oscillator with parameters that are periodically changed in response to low-frequency blade rotation. The modulation of the wideband signal by blade rotation can be extracted using the detection of envelope modulation on noise (DEMON) algorithm. This model was applied for the estimation of the modulation of a large (52-m-long) WT blade. Steel specimens have been used in laboratory experiments to demonstrate the feasibility of VAM using a probe broadband noise signal. This paper presents the first work to experimentally and theoretically apply wideband signals in VAM. It further explores the analysis of the use of natural vibrations within VAM for the SHM of WT blades.

show abstract