Plate wave acoustic emission

Gorman, Michael R.

doi:10.1121/1.401258

Cited by 200 publications

(98 citation statements)

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“…The aim of the paper is to locate the acoustic emission source in four different points on the blade section. The acoustic emission produced by the division of the glass fibers is simulated by breaking the tip of the lead from a mechanical pencil [25][26][27]. Three MFC transducers (A, B and C) were used to detect the acoustic emissions.…”

Section: Location Of the Fiber Breakage By The Triangulation Methodologymentioning

confidence: 99%

A New Fault Location Approach for Acoustic Emission Techniques in Wind Turbines

Muñoz

Márquez

2016

Energies

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The renewable energy industry is undergoing continuous improvement and development worldwide, wind energy being one of the most relevant renewable energies. This industry requires high levels of reliability, availability, maintainability and safety (RAMS) for wind turbines. The blades are critical components in wind turbines. The objective of this research work is focused on the fault detection and diagnosis (FDD) of the wind turbine blades. The FDD approach is composed of a robust condition monitoring system (CMS) and a novel signal processing method. CMS collects and analyses the data from different non-destructive tests based on acoustic emission. The acoustic emission signals are collected applying macro-fiber composite (MFC) sensors to detect and locate cracks on the surface of the blades. Three MFC sensors are set in a section of a wind turbine blade. The acoustic emission signals are generated by breaking a pencil lead in the blade surface. This method is used to simulate the acoustic emission due to a breakdown of the composite fibers. The breakdown generates a set of mechanical waves that are collected by the MFC sensors. A graphical method is employed to obtain a system of non-linear equations that will be used for locating the emission source. This work demonstrates that a fiber breakage in the wind turbine blade can be detected and located by using only three low cost sensors. It allows the detection of potential failures at an early stages, and it can also reduce corrective maintenance tasks and downtimes and increase the RAMS of the wind turbine.

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Section: Location Of the Fiber Breakage By The Triangulation Methodologymentioning

confidence: 99%

A New Fault Location Approach for Acoustic Emission Techniques in Wind Turbines

Muñoz

Márquez

2016

Energies

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“…The discussions will be given in terms of what would be expected from the proposed AE sources. The discussions will be given in terms of what would be expected from plate wave theory as presented by Gorman [14). Figure 6 shows waveforms typical of the AE measured at yield.…”

Section: Experiments #2mentioning

confidence: 99%