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Handbook of Nondestructive Evaluation

14 Mar 2001-
TL;DR: Chapter 1: Introduction to Nondestructive Testing Chapter 2: Dicontinuities - Origins and Classification Chapter 3: Visual Testing Chapter 4: Penetrant Testing Chapter 5: Magnetic Particle Testing Chapter 6: Radiographic Testing new - Digital Radiography Chapter 7: Ultrasonic Testing New - Phased Array Ultrasonics New - Guided Wave Ultrasonic
Abstract: Chapter 1: Introduction to Nondestructive Testing Chapter 2: Dicontinuities - Origins and Classification Chapter 3: Visual Testing Chapter 4: Penetrant Testing Chapter 5: Magnetic Particle Testing Chapter 6: Radiographic Testing New - Digital Radiography Chapter 7: Ultrasonic Testing New - Phased Array Ultrasonics New - Guided Wave Ultrasonics Chapter 8: Eddy current Testing Chapter 9: Thermal Infrared Testing Chapter 10: Acoustic Emission Testing
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Journal ArticleDOI
22 Apr 2014-Energies
TL;DR: In this article, a general review and classification of wind turbine condition monitoring methods and techniques with a focus on trends and future challenges is provided, and interesting insights from this research are used to point out strengths and weaknesses in today's WTCM industry and define research priorities needed for the industry to meet the challenges in wind industry technological evolution and market growth.
Abstract: As the demand for wind energy continues to grow at exponential rates, reducing operation and maintenance (OM) costs and improving reliability have become top priorities in wind turbine (WT) maintenance strategies. In addition to the development of more highly evolved WT designs intended to improve availability, the application of reliable and cost-effective condition-monitoring (CM) techniques offers an efficient approach to achieve this goal. This paper provides a general review and classification of wind turbine condition monitoring (WTCM) methods and techniques with a focus on trends and future challenges. After highlighting the relevant CM, diagnosis, and maintenance analysis, this work outlines the relationship between these concepts and related theories, and examines new trends and future challenges in the WTCM industry. Interesting insights from this research are used to point out strengths and weaknesses in today’s WTCM industry and define research priorities needed for the industry to meet the challenges in wind industry technological evolution and market growth.

479 citations

Journal ArticleDOI
TL;DR: It is shown that the number of sensors required per unit area to reliably detect a prescribed type of damage is prohibitively high, even in the presence of modest temperature fluctuations, hence some form of temperature compensation is absolutely essential for guided-wave SHM systems to be viable.
Abstract: Structural health monitoring (SHM) using guided waves is one of the only ways in which damage anywhere in a structure can be detected using a sparse array of permanently attached sensors. To distinguish damage from structural features, some form of comparison with damage-free reference data is essential, and here subtraction is considered. The detectability of damage is determined by the amplitude of residual signals from structural features remaining after the subtraction of reference data. These are non-zero due to changing environmental conditions such as temperature. In this paper, the amplitude of the residual signals is quantified for different guided-wave SHM strategies. Comparisons are made between two methods of reference signal subtraction and between two candidate sensor configurations. These studies allow estimates to be made of the number of sensors required per unit area to reliably detect a prescribed type of damage. It is shown that the number required is prohibitively high, even in the presence of modest temperature fluctuations, hence some form of temperature compensation is absolutely essential for guided-wave SHM systems to be viable. A potential solution is examined and shown to provide an improvement in signal suppression of approximately 30 dB, which corresponds to two orders of magnitude reduction in the number of sensors required.

328 citations

Journal ArticleDOI
TL;DR: Typical engineering solutions using recent technologies are reviewed which could be used to improve the quality of IRT inspection and various automatic diagnostic systems are proposed for faster and more accurate analysis.

251 citations


Cites background from "Handbook of Nondestructive Evaluati..."

  • ...Short-wave systems should be used only on a limited basis, or if loads and other conditions allow, on overcast days or at night [6]....

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  • ...Table 1 summarizes all the factors regarding the environmental effects that need to be considered when doing an IRT inspection [3,6,9,14–16]....

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  • ...For technical factors, most of the information needed concerns the emissivity of the equipment under inspection, load current variation, distance of the object being inspected, and the IRT camera specifications [6,9,15]....

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  • ...97, it is often difficult to assess this visually in the field from a distance [15,6]...

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  • ...processing speed must also be considered for good performance [6]...

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Journal ArticleDOI
TL;DR: Results from three different PCA approaches are presented in this work, which used local information (neighborhoods) instead of global and showed enhancement in the local detection with linear modeling over the global.

163 citations

Journal ArticleDOI
TL;DR: In this article, the effect of dielectric properties of CFRP carbon rovings on eddy current measurement signal has been investigated and an explanation for that effect is seen in the measurement frequency and the capacitive structure of the carbon RoVings.
Abstract: Eddy current testing is well established for non-destructive testing of electrical conductive materials [1]. The development of radio frequency (RF) eddy current technology with frequency ranges up to 100 MHz made it possible to extend the classical fields of application even towards less conductive materials like CFRP [2] [3](Table 2). It turns out that RF eddy current technology on CFRP generates a growing number of valuable information for comprehensive material diagnostic. Both permittivity and conductivity of CFRP influence the complex impedance measured with RF eddy current devices. The electrical conductivity contains information about fiber texture like orientations, gaps or undulations in a multilayered material. The permittivity characterization influenced by dielectric properties allows the determination of local curing defects on CFRP e.g. hot spots, thermal impacts or polymer degradation. An explanation for that effect is seen in the measurement frequency range and the capacitive structure of the carbon rovings. Using radio wave frequencies for testing, the effect of displacement currents cannot be neglected anymore. The capacitive structures formed by the carbon rovings is supposed to further strengthen the dielectric influences on eddy current measurement signal [3]. This report gives an overview of several realized applications and should be understood as a general introduction of CFRP testing by HF Radio Wave techniques.

137 citations


Cites background from "Handbook of Nondestructive Evaluati..."

  • ...In order to determine properties of an unknown specimen the system will be calibrated with known reference samples first [16,17]....

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