Guided wave localization of small defects based on stochastic resonance characteristics of Duffing systems

被引:0
|
作者
Liang, Haoran [1 ]
Wu, Jing [1 ]
Zhang, Weiwei [1 ]
Zheng, Mingfang [1 ]
Ma, Hongwei [1 ]
机构
[1] Dongguan Univ Technol, Dongguan 523808, Peoples R China
基金
中国国家自然科学基金;
关键词
Duffing system; Stochastic resonance characteristic; Anti -corrosion pipelines; Parameter determination; Small defect guided wave; Locational detection; FAULT-DIAGNOSIS;
D O I
10.1016/j.ijpvp.2024.105215
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To improve the location accuracy of small defects in anti-corrosion pipelines by using ultrasonic guided wave, this study developed a guided wave location method for small defects based on stochastic resonance (SR) characteristics of a time-moving Duffing system. Firstly, it solved the shortcomings of the selection of the key parameters of the system, which depended on human subjectivity and lacked interaction correlation in the previous research. By using the stochastic resonance characteristics of the Duffing system, the best fit parameter group of the system was determined synchronously and coordinately. Secondly, with the conjoint analysis of the key parameters of the system and the numerical simulation verification method, found that part of the energy of the noise signal would be transferred to the system output response, leading to the system output response was strengthened. Finally, A time-moving window function was introduced in the experimental verification, and the enhanced system output response in the window was analyzed using power spectral density (PSD), which could realize the location of guided waves with small defects. The experimental result showed that the small defect guided wave with a cross-section loss rate of at least 6 % could be effectively located.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] A High-Speed Dual-Stage Ultrasonic Guided Wave System for Localization and Characterization of Defects
    Gannon, Adam
    Wheeler, Elizabeth
    Brown, Kyle
    Flynn, Eric
    Warren, Will
    STRUCTURAL HEALTH MONITORING AND DAMAGE DETECTION, VOL 7, 2015, : 123 - 136
  • [22] Compensation control-based stochastic resonance characteristics and their application
    Fan Z.
    Lin M.
    Huang Y.
    Xu M.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 39 (23): : 64 - 70
  • [23] A novel laser-based duffing oscillator system to identify weak ultrasonic wave related to rail defects
    Ng, K.
    Ghafoor, I.
    Tse, P.
    OPTICS AND LASERS IN ENGINEERING, 2022, 157
  • [24] Evidence for stochastic resonance in threshold systems based on mutual information
    Mitaim, S
    Kosko, B
    IEEE ICIT' 02: 2002 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS I AND II, PROCEEDINGS, 2002, : 1315 - 1320
  • [25] Delamination Localization in Multilayered CFRP Panel Based on Reconstruction of Guided Wave Modes
    Papanaboina, Mastan Raja
    Jasiuniene, Elena
    Samaitis, Vykintas
    Mazeika, Liudas
    Griskevicius, Paulius
    APPLIED SCIENCES-BASEL, 2023, 13 (17):
  • [26] S-Parameter-Based Defect Localization for Ultrasonic Guided Wave SHM
    Nyikayaramba, Gift
    Murmann, Boris
    AEROSPACE, 2020, 7 (03)
  • [27] Tiny Machine Learning Implementation for Guided Wave-Based Damage Localization
    Henkmann, Jannik
    Memmolo, Vittorio
    Moll, Jochen
    SENSORS, 2025, 25 (02)
  • [28] GUIDED WAVE BASED FATIGUE CRACK DETECTION AND LOCALIZATION IN ALUMINUM AEROSPACE STRUCTURES
    Hensberry, Kevin
    Kovvali, Narayan
    Liu, Kuang C.
    Chattopadhyay, Aditi
    Papandreou-Suppappola, Antonia
    PROCEEDINGS OF THE ASME CONFERENCE ON SMART MATERIALS, ADAPTIVE STRUCTURES AND INTELLIGENT SYSTEMS, VOL 1, 2012, : 907 - 916
  • [29] Guided wave based structural health monitoring of piping systems
    Schubert, Frank
    Frankenstein, Berrid
    Froehlich, Klaus-Jochen
    Kuettner, Martin
    HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2007, 2007, 6532
  • [30] Coherence resonance and stochastic bifurcation behaviors of simplified standing-wave thermoacoustic systems
    Li, Xinyan
    Zhao, Dan
    Shi, Baolu
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2019, 145 (02): : 692 - 702