A method based on SVD for detecting the defect using the magnetostrictive guided wave technique

Tang, Mingxi; Wu, Xiaowen; Cong, Ming; Guo, Kai

doi:10.1016/j.ymssp.2015.09.018

Cited by 14 publications

(7 citation statements)

References 27 publications

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“…Feature-Based Approach. As an attractive signal processing method, singular value decomposition has been applied in UGW-based defect localization and damage detection [136,137]. Ji et al [127] frst applied singular value decomposition in the UGWbased prestress evaluation method with the following process: (1) wavelet packet transform (WPT) is performed on the time domain signal of UGW to obtain the wavelet packet coefcient matrix; (2) singular value decomposition of the wavelet packet coefcient matrix is performed to obtain the singular value vector which refects the stress characteristics in the time and frequency domain;…”

Section: Singular Valuementioning

confidence: 99%

Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress

Jia,

Zhang,

et al. 2023

Structural Control and Health Monitoring

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Prestressed structures are widely employed in bridges and large-span spatial structures, and the accurate evaluation of prestress state is of great importance for structural maintenance. This paper reviews the nondestructive testing (NDT) and health monitoring techniques for structural effective prestress. Specifically, the fiber Bragg grating (FBG) sensor-based, magnetic-elastic (ME) sensor-based, dynamic response-based, ultrasonic guided wave (UGW)-based, electromechanical impedance (EMI)-based, and electrical resistance-based methods are reviewed in this paper. Firstly, the principle, application range, and measuring accuracy of each technique are introduced and analyzed, and the benefits and limitations of each technique are summarized: The FBG sensor and ME sensor take on high measuring accuracy and have been applied in practical engineering, but they are required to be preinstalled during structural construction; the dynamic response-based method is greatly effective in cable force assessment but not suitable for prestress evaluation of prestressed concrete (PSC) structures; the UGW-based, EMI-based, and electrical resistance-based methods have shown favorable potential for prestress assessment in laboratory experiments, but their feasibility and accuracy in practical engineering need to be verified. Secondly, the challenges and discussion of each method are discussed in the following four aspects: measuring range, reliability of measuring results, stability and durability considering long-term monitoring, and cost-efficiency. Finally, a decision tree is proposed to choose the most appropriate prestress evaluation method in a specific application scenario.

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Section: Singular Valuementioning

confidence: 99%

Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress

Jia,

Zhang,

et al. 2023

Structural Control and Health Monitoring

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“…There are many kinds of indexes [ 33 , 34 , 35 , 36 ] for determining the number of principal components. Here we consider the differences between adjacent eigenvalues [ 33 ] in Equation (18), which lead to the criteria:

…”

Section: Multiband Envelope Spectra Extractionmentioning

confidence: 99%

Multiband Envelope Spectra Extraction for Fault Diagnosis of Rolling Element Bearings

Duan

Shi

Zhou

et al. 2018

Sensors

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Bearing fault features are presented as repetitive transient impulses in vibration signals. Narrowband demodulation methods have been widely used to extract the repetitive transients in bearing fault diagnosis, for which the key factor is to accurately locate the optimal band. A multitude of criteria have been constructed to determine the optimal frequency band for demodulation. However, these criteria can only describe the strength of transient impulses, and cannot differentiate fault-related impulses and interference impulses that are cyclically generated in the signals. Additionally, these criteria are easily affected by the independent transitions and background noise in industrial locales. Therefore, the large values of the criteria may not appear in the optimal frequency band. To overcome these problems, a new method, referred to as multiband envelope spectra extraction (MESE), is proposed in this paper, which can extract all repetitive transient features in the signals. The novelty of MESE lies in the following aspects: (1) it can fuse envelope spectra at multiple narrow bands. The potential bands are selected based on Jarque-Bera statistics of narrowband envelope spectra; and (2) fast independent component analysis (fastICA) is introduced to extract the independent source spectra, which are fault- or interference-related. The multi-band strategy will preserve all impulse features and make the method more robust. Meanwhile, as a blind source separation technique, the fastICA can suppress some in-band noise and make the diagnosis more accurate. Several simulated and experimental signals are used to validate the efficiency of the proposed method. The results show that MESE is effective for enhanced fault diagnosis of rolling element bearings. Bearing faults can be detected even in a harsh environment.

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“…GW is a common active structural health monitoring (SHM) technology [4,5]. Tere have been many studies on the propagation law of GW in the stifened panel.…”

Section: Introductionmentioning

confidence: 99%

An Electromechanical Impedance‐Based Imaging Algorithm for Damage Identification of Chemical Milling Stiffened Panel

Jiang,

Zhou,

Chen

et al. 2024

Structural Control and Health Monitoring

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The multiple intersecting stiffeners on the chemical milling stiffened panel (CMSP) limit the application of active health monitoring methods on it. An imaging algorithm based on electromechanical impedance (EMI) and probability-weighting is proposed to achieve quantitative evaluation and localization of the damage on CMSP. The proposed algorithm compensates for the difference in sensor performance with coefficients and there is no need to determine the key parameters of the algorithm through prior experiments. In the paper, the applicability of ultrasonic guided wave (GW) and EMI on CMSP was first studied through the finite element method. Based on EMI and the mean absolute percentage deviation (MAPD), the selected damage indicator (DI), a probability-weighted damage imaging algorithm are proposed and experimentally verified. The results indicate that due to the reflection and attenuation effects of stiffeners on GW, the signal characteristics of damage scattering waves are contaminated, making it difficult to quantitatively characterize the damage from GW signals through DIs. MAPD is positively correlated with the damage degree and has consistency in characterizing the signal of different PZTs under the same working condition. The feasibility and accuracy of the proposed algorithm are verified through experiments which show a strong engineering application capability.

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A method based on SVD for detecting the defect using the magnetostrictive guided wave technique

Cited by 14 publications

References 27 publications

Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress

Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress

Multiband Envelope Spectra Extraction for Fault Diagnosis of Rolling Element Bearings

An Electromechanical Impedance‐Based Imaging Algorithm for Damage Identification of Chemical Milling Stiffened Panel

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