Damage Modes Recognition and Hilbert-Huang Transform Analyses of CFRP Laminates Utilizing Acoustic Emission Technique

Han, Wenqin; Luo, Ying; Gu, Aiqin; Fang, Yuan

doi:10.1007/s10443-015-9454-3

Cited by 36 publications

(9 citation statements)

References 25 publications

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“…First the signal is converted into its analytical form using Hilbert Transform. 9,10 Consider the function hil ( S ) is the Hilbert transform of the signal. Following this, the absolute value of the transformed signal is taken and converted into its binary sequence:…”

Section: Methodsmentioning

confidence: 99%

Interpreting the Lempel–Ziv complexity of acoustic emission signals for identifying damage modes in composite materials

Barile

Casavola

Pappalettera

et al. 2022

Structural Health Monitoring

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Lempel–Ziv (LZ) complexity has been used predominantly in solving the information theoretic problems. However, its application is way beyond information theoretics. It has been used successfully in different biomedical applications. In this research work, this LZ complexity is used for identifying the damage modes in a plain weave fabric carbon fibre-reinforced polymer (CFRP) specimens tested at an elevated temperature. The acoustic signals generated during the tensile test of CFRP specimens at an elevated temperature are recorded. Their LZ complexity values are extracted and compared with different acoustic descriptors. When LZ complexity is used along with peak amplitude of the acoustic signal and its weighted peak frequency, it is able to distinguish the different damage sources of the signal. The acoustic signals with LZ complexity above 0.6 generally indicate their source as delamination or debonding of the fibres in the CFRP specimen. This multiparameter approach is more efficient in distinguishing the different damage modes in the CFRP specimens.

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Section: Methodsmentioning

confidence: 99%

Interpreting the Lempel–Ziv complexity of acoustic emission signals for identifying damage modes in composite materials

Barile

Casavola

Pappalettera

et al. 2022

Structural Health Monitoring

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“…The time-frequency characteristics of an AE signal can be characterized using various techniques such as Continuous Wavelet Transform (CWT), Short-Time Fourier Transform (STFT), Discrete Wavelet Transform (DWT), Wavelet Packet Transform (WPT), Hilbert-Huang Transform (HHT) etc [4,8]. Among them, CWT provides a great visual representation of the time-frequency features of an AE signal.…”

Section: Continuous Wavelet Transformmentioning

confidence: 99%

“…However, the reliability of the descriptors that define the AE signals are under constant scrutiny. Researchers attempt to improve the capability of improving the available descriptors or by introducing a new descriptor [6][7][8]. In this study, a new information-theoretic descriptor named Lempel-Ziv (LZ) complexity, which is commonly used in time-series data applications, is used as a potential AE descriptor.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, a new information-theoretic descriptor named Lempel-Ziv (LZ) complexity, which is commonly used in time-series data applications, is used as a potential AE descriptor. This parameter has been introduced in several bio-medical and machine diagnostic applications [8][9][10][11]. However, validation is a crucial part in introducing a descriptor in an extraneous field.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of tensile behaviour of plain weave fabric CFRP composites using acoustic emission technique and deep learning

Barile

Casavola

Pappalettera

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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The applications of Carbon Fibre Reinforced Plastic (CFRP) composites in aerospace applications have increased exponentially in the last decade. CFRP composites are now replacing conventional materials used in high temperature applications. Different types and strategies of reinforcements are used in these composites to improve their applicability to high temperature applications. One of the reinforcement strategies that has been used frequently in the recent years is the plain weave fabric configuration of reinforcing fibres in polymer matrix. A comprehensive damage assessment is essential to evaluate the characteristics of these composites at elevated temperatures. The Acoustic Emission (AE) signals generated during the damage evolution stages are used for studying the damage evolution stages when the plain weave fabric composites are tested at temperatures close to their glass transition state. A new information-theoretic parameter, Lempel-Ziv (LZ) complexity and the deep learning neural network is used for understanding the damage evolution stages. Furthermore, the neural network is used for validating the utilization of LZ complexity as a potential AE parameter for damage classification applications. The results are promising with the damage classification strategy using LZ complexity exhibits an accuracy of 85.1% which is validated through the neural network.

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“…In the authors' previous studies, a novel method for choosing the appropriate wavelet is developed and discussed [42]. In addition, the procedure for CWT can also be found in the authors' previous research works and other standard research works [42][43][44][45][46]. To summarise the time-frequency analysis performed in this study, the analytical Morlet wavelet is chosen and used in the CWT.…”

Section: Acoustic Emission Analysismentioning

confidence: 99%

Investigation of Interlaminar Shear Properties of CFRP Composites at Elevated Temperatures Using the Lempel-Ziv Complexity of Acoustic Emission Signals

et al. 2022

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Three-point bending tests on Short Beam Shear (SBS) specimens are performed to investigate the interlaminar shear properties of plain weave fabric CFRP composites. The tests are performed in a controlled environmental chamber at two different elevated temperatures. The interlaminar shear properties of the specimens remain largely unaffected by the testing temperature. However, the SEM micrographs show different damage progressions between the specimens tested at 100 °C and 120 °C. Fibre ruptures and longer delamination between the plies, as a result of a high temperature, are observed in the specimens tested at 120 °C, which are not observed in the specimens tested at 100 °C. In addition, the acoustic emission activities during the tests are investigated by using piezoelectric sensors. The information-theoretic parameter, the Lempel-Ziv (LZ) complexity, is calculated for the recorded acoustic signals. The LZ Complexities are used for identifying the occurrence of the first delamination failure in the specimens. Additionally, the two features of the acoustic signals, LZ complexity and Weighted Peak Frequency (W.P-Freq), are used for distinguishing the different damage sources in the CFRP specimens. The results are well-supported by the time-frequency analysis of the acoustic signals using a Continuous Wavelet Transform (CWT).

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Damage Modes Recognition and Hilbert-Huang Transform Analyses of CFRP Laminates Utilizing Acoustic Emission Technique

Cited by 36 publications

References 25 publications

Interpreting the Lempel–Ziv complexity of acoustic emission signals for identifying damage modes in composite materials

Interpreting the Lempel–Ziv complexity of acoustic emission signals for identifying damage modes in composite materials

Assessment of tensile behaviour of plain weave fabric CFRP composites using acoustic emission technique and deep learning

Investigation of Interlaminar Shear Properties of CFRP Composites at Elevated Temperatures Using the Lempel-Ziv Complexity of Acoustic Emission Signals

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