Continuous wavelet transform application in diagnostics of piezoelectric wafer active sensors

Golub, Mikhail V.; Shpak, Alisa N.; Buethe, Inka; Fritzen, Claus‐Peter; Jung, Henning; Moll, Jochen

doi:10.1109/dd.2013.6712804

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…An analysis of the resulting wave propagation for these debonded PWAS can be found in [50]. For detailed information about the experimental setup and other debonding levels, see [42].…”

Section: Detection Of Cracks In and Debonding Of Transducersmentioning

confidence: 99%

Failure Assessment of Piezoelectric Actuators and Sensors for Increased Reliability of SHM Systems

Mueller¹,

Fritzen²

2018

Structural Health Monitoring From Sensing to Processing

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In the chain from sensing to information extraction, there are many traps where errors can occur, which might lead to false alarms and therefore leave us with the impression of an unreliable system. In this chapter, we deal with the important first element of the chain, the sensor, which can undergo various faults and defects during its lifetime. Especially for the use of acousto-ultrasonic (AU)-based methods or the electro-mechanical impedance (EMI) method, piezoelectric transducers are frequently used. Subsequent steps within the chain of SHM rely on the quality and reliability of these measurements. An overview is given on the usage of piezoelectric transducers within SHM systems, their electromechanical coupling and its modeling as well as frequent faults of these devices and methods on how to inspect them and diagnose defects. The authors show the effects of different transducer faults on the excited wave field, used for AU. It is shown how a sensor fault can be detected before the SHM system indicates a (false) alarm. With the help of application scenarios-including temperature variations-the advantages and disadvantages of the introduced methods of transducer inspection are presented, enabling an increased reliability of SHM systems.

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“…An analysis of the resulting wave propagation for these debonded PWAS can be found in [50]. For detailed information about the experimental setup and other debonding levels, see [42].…”

Section: Detection Of Cracks In and Debonding Of Transducersmentioning

confidence: 99%

Failure Assessment of Piezoelectric Actuators and Sensors for Increased Reliability of SHM Systems

Mueller¹,

Fritzen²

2018

Structural Health Monitoring From Sensing to Processing

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show abstract

“…Detail coefficients are low-scale, high-frequency components, while the approximation coefficients represent the high-scale, low-frequency components. The wavelet technique has been of great interest in recent years and has direct application for the SHM like demonstrates some research works [18][19][20][21][22]. For further details about DWT and its implementation, please refer to [23].…”

Section: Discrete Wavelet Transformmentioning

confidence: 99%

A Damage Classification Approach for Structural Health Monitoring Using Machine Learning

et al. 2018

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Inspection strategies with guided wave-based approaches give to structural health monitoring (SHM) applications several advantages, among them, the possibility of the use of real data from the structure which enables continuous monitoring and online damage identification. These kinds of inspection strategies are based on the fact that these waves can propagate over relatively long distances and are able to interact sensitively with and uniquely with different types of defects. The principal goal for SHM is oriented to the development of efficient methodologies to process these data and provide results associated with the different levels of the damage identification process. As a contribution, this work presents a damage detection and classification methodology which includes the use of data collected from a structure under different structural states by means of a piezoelectric sensor network taking advantage of the use of guided waves, hierarchical nonlinear principal component analysis (h-NLPCA), and machine learning. The methodology is evaluated and tested in two structures: (i) a carbon fibre reinforced polymer (CFRP) sandwich structure with some damages on the multilayered composite sandwich structure and (ii) a CFRP composite plate. Damages in the structures were intentionally produced to simulate different damage mechanisms, that is, delamination and cracking of the skin.

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Numerical simulation of lamb wave excitation by the partially debonded rectangular strip-like piezoelectric actuator based on the integral approach and hp-FEM

Golub

Shpak

Müller

et al. 2016

2016 Days on Diffraction (DD)

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Continuous wavelet transform application in diagnostics of piezoelectric wafer active sensors

Cited by 4 publications

References 10 publications

Failure Assessment of Piezoelectric Actuators and Sensors for Increased Reliability of SHM Systems

Failure Assessment of Piezoelectric Actuators and Sensors for Increased Reliability of SHM Systems

A Damage Classification Approach for Structural Health Monitoring Using Machine Learning

Numerical simulation of lamb wave excitation by the partially debonded rectangular strip-like piezoelectric actuator based on the integral approach and hp-FEM

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