Parameter estimation for ultrasonic echo signals through improved matching pursuit and flower pollination algorithms

Chang, Mengjia; Lu, Zhenkun; Huang, Qinghua; Yang, Cui

doi:10.1016/j.measurement.2022.111010

Cited by 10 publications

(2 citation statements)

References 19 publications

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“…Therefore, a non-linear model can be established for the echo signal [7]. The Gaussian model is commonly used [17], which could be expressed as:…”

Section: Gaussian Echo Model For Thickness Measurementmentioning

confidence: 99%

An integration method of a hybrid genetic algorithm and the Levenberg–Marquardt algorithm for ultrasonic testing

Li,

Jia,

Yang

et al. 2024

Metrology and Measurement Systems

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The accurate measurement of time-of-flight (TOF) is essential in ultrasonic testing. Further, noise interference is the key factor affecting the measurement accuracy. Therefore, to develop a reliable computational method of TOF for test pieces working in noisy environments, an integration method of a hybrid genetic algorithm and the Levenberg–Marquardt algorithm (GA–LM) for ultrasonic thickness measurement is proposed in the present research. A Gaussian model is first established for an echo signal. Further, the model-based parameter estimation is converted into a nonlinear optimization problem by applying the least square method. As the parameter estimation methods are easily affected by the initial value, an integrating innovation of the GA–LM algorithm is proposed. The initial values of the model parameters are selected by GA to obtain an approximate global optimal solution. Subsequently, this approximate solution is used as the initial value for the LM algorithm to perform iterations. The accurate global optimal solution of the Gaussian model is obtained through these iterations. Finally, the measuring accuracy and robustness of the GA–LM algorithm for TOF computation are verified by both numerical simulation and experiment data

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“…Therefore, a non-linear model can be established for the echo signal [7]. The Gaussian model is commonly used [17], which could be expressed as:…”

Section: Gaussian Echo Model For Thickness Measurementmentioning

confidence: 99%

An integration method of a hybrid genetic algorithm and the Levenberg–Marquardt algorithm for ultrasonic testing

Li,

Jia,

Yang

et al. 2024

Metrology and Measurement Systems

View full text Add to dashboard Cite

show abstract

“…However, in the experiment, the air-coupled thermal wave radar imaging method was used to detect defects in the laminates. The wave phase can be estimated using the Hilbert transform, which is an efficient method with low computational requirements [21,22]. It allows the implementation of analytic waveforms to calculate the wave phase [23].…”

Section: Introductionmentioning

confidence: 99%

Neural-Network-Based Ultrasonic Inspection of Offshore Coated Concrete Specimens

Malikov

Kim

et al. 2022

Coatings

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A thin layer of protective coating material is applied on the surface of offshore concrete structures to prevent its degradation, thereby extending the useful life of the structures. The main reasons for the reduction in the protective capability of coating layers are loss of adhesion to concrete and flattening of the coating layer wall. Usually, the state of the coating layer is monitored in the setting of water immersion using ultrasonic inspection methods, and the method of inspection still needs improvement in terms of speed and accuracy. In this study, the ultrasonic pulse echo method was used in a water immersion test of the coated specimens, and continuous wavelet transform (CWT) with complex Morlet wavelets was implemented to define the received waveforms’ time of flight and instantaneous center frequency. These allow one to evaluate the thickness of the coating layer during water immersion. Furthermore, phases of reflected echoes at CWT local peaks were computed using a combination of Hilbert transforms (HT) and wave parameters derived from CWT. In addition, three relative wave parameters of echoes were also used to train deep neural networks (DNN), including instantaneous center frequency ratio, CWT magnitude ratio, and phase difference. With the use of three relative waveform parameters of the DNN, the debonded layer detection accuracy of our method was 100%.

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Identification of the Continuous-Time Hammerstein Models with Sparse Measurement Data Using Improved Marine Predators Algorithm

Tumari,

Ahmad,

Mohamed

2024

Arab J Sci Eng

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Parameter estimation for ultrasonic echo signals through improved matching pursuit and flower pollination algorithms

Cited by 10 publications

References 19 publications

An integration method of a hybrid genetic algorithm and the Levenberg–Marquardt algorithm for ultrasonic testing

An integration method of a hybrid genetic algorithm and the Levenberg–Marquardt algorithm for ultrasonic testing

Neural-Network-Based Ultrasonic Inspection of Offshore Coated Concrete Specimens

Identification of the Continuous-Time Hammerstein Models with Sparse Measurement Data Using Improved Marine Predators Algorithm

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