A defect localization method based on self-sensing and orthogonal matching pursuit

Gao, Yuqing; Mu, Weilei; Yuan, Fuh-Gwo; Liu, Guijie

doi:10.1016/j.ultras.2022.106889

Cited by 7 publications

(3 citation statements)

References 27 publications

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“…(1) The diversity of valve leakage fault types and the complexity of the environment in which they are located cause difficulty in using a common mathematical model or a single characteristic parameter to identify fault types. (2) The two types of faults, internal valve leakage and external valve leakage, show strong similarities in the time and frequency domains. An accurate classification of these two faults is difficult to achieve using conventional methods based on the time or frequency domains.…”

Section: Introductionmentioning

confidence: 99%

“…For structural health monitoring, scholars have proposed various diagnostic techniques and methods, including manual inspection method, vibration analysis method, 1 pressure drop detection method, ultrasonic monitoring method, 2,3 infrared thermal imaging technique, 4 and acoustic emission (AE) technique. 5 AE has become a research hotspot due to its sensitivity to leaked information.…”

Section: Introductionmentioning

confidence: 99%

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A comprehensive diagnosis method of valve leakage faults based on bi-sensor information fusion

Liu

Hao

et al. 2023

Structural Health Monitoring

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Acoustic emission (AE) signals caused by valve leakage exhibit obvious nonlinearity and nonstationarity characteristics. Due to the limitations of traditional valve leakage diagnosis methods, it is difficult to distinguish between internal and external valve leakage failures effectively. Recognizing this challenge, a comprehensive valve leakage diagnosis method based on a multichannel fusion convolutional neural network (MCFCNN) is proposed. First, AE signals are converted from one-dimensional time-domain signals to two-dimensional time–frequency images by the time–frequency analysis method. Then, the time–frequency images are used as model inputs, and MCFCNN fuses the features of time–frequency images from two different position. Hence, a new comprehensive diagnosis method for the bi-sensor fusion contains the time–frequency information, modal information, and position information of valve leakage is proposed. Subsequently, the effectiveness of the proposed method was verified through valve leakage simulation experiments. Furthermore, in order to study the impact of modal information on identifying internal and external valve leakage faults, the fault prediction performance of MCFCNN was compared and analyzed using short-time Fourier transform (STFT) and time-reassigned synchrosqueezing transform (TSST). Finally, according to the needs of engineering practice, the impact of sampling length on different methods is studied. The results show that compared to STFT–MCFCNN, TSST–MCFCNN required a shorter sampling length with the same diagnostic accuracy, which means that the method proposed in this study can achieve faster response time for ball valve leakage under conventional leakage flow rates.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A comprehensive diagnosis method of valve leakage faults based on bi-sensor information fusion

Liu

Hao

et al. 2023

Structural Health Monitoring

Self Cite

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“…With the aim of extracting meaningful feature signals from the contaminated UGW signals, the sparse signal decomposition methods, whereby a signal is decomposed into a linear combination of functions that are selected from an over-complete redundant dictionary, have gradually attracted great interest in UGW testing [18,19]. Wang et al [20] proposed an improved matching pursuit (MP)-based temperature and load compensation method for UGW signals, which has verified excellent effects under the influence of temperature and load variations.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of Water-Filled Pipe Ultrasonic Guided Wave Signals in the Distance Domain by Orthogonal Matching Pursuit Based on Dispersion and Multi-Mode

Wang,

Tang,

Gong

et al. 2023

Sensors

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Ultrasonic guided waves (UGWs) in water-filled pipes are subject to more severe dispersion and attenuation than vacant pipes, posing significant challenges for defect identification and localization. To this end, a novel sparse signal decomposition method called orthogonal matching pursuit based on dispersion and multi-mode (DMOMP) was proposed, which utilizes the second-order asymptotic solution of dispersion curves and the conversion characteristics of asymmetric UGWs in the defect contact stage to reconstruct the dispersive signals and converts the time-domain dispersive signals to distance-domain non-dispersive signals by dispersion compensated time-distance mapping. The synthesized simulation results indicate that DMOMP not only exhibits higher reconstruction accuracy compared to OMP, but also reveals more accurate and stable mode recognition and localization compared to DOMP, which only considers the dispersion under perturbation and noise. In addition, the UGW testing experimental results of water-filled pipes verify the effectiveness of DMOMP, the localization accuracies of three feature signals (defct 1, defct 2 and end echo) with DMOMP are 99.10%, 98.72% and 98.36%, respectively, and the average localization accuracy of DMOMP is as high as 98.73%.

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Sparse reconstruction of ultrasonic guided wave signals of fluid-filled pipes by multistrategy hybrid DBO-OMP using dispersive Hanning-windowed chirplet model

Tang,

Wang,

Gong

et al. 2024

Measurement

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A defect localization method based on self-sensing and orthogonal matching pursuit

Cited by 7 publications

References 27 publications

A comprehensive diagnosis method of valve leakage faults based on bi-sensor information fusion

A comprehensive diagnosis method of valve leakage faults based on bi-sensor information fusion

Reconstruction of Water-Filled Pipe Ultrasonic Guided Wave Signals in the Distance Domain by Orthogonal Matching Pursuit Based on Dispersion and Multi-Mode

Sparse reconstruction of ultrasonic guided wave signals of fluid-filled pipes by multistrategy hybrid DBO-OMP using dispersive Hanning-windowed chirplet model

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