Guided wave signal recognition by matching pursuit based on evolutionary programming algorithm

An improved multi-group self-adaptive evolutionary programming Algorithm is used to get adapt attribute weight for CBR system. Firstly, this paper analyses the adaptability function based on reference case base REF and testing case base TEST, develops a novel Bi-group self-adaptive evolutionary programming that overcome the lack of conventional evolutionary programming. In this Novel algorithm, evolution of Cauchy operator and Gauss operator are parallel performed with different mutation strategies, and the Gauss operator owns the ability of self-adaptation according to the variation of adaptability function. Information is exchanged when sub-groups are reorganized. Experiment results prove the validity of self-adaptive Algorithm and CBR design system is used successfully in engine design process.

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Guided wave signal processing and image fusion for in situ damage localization in plates

Wave Motion ◽

10.1016/j.wavemoti.2007.02.008 ◽

2007 ◽

Vol 44 (6) ◽

pp. 482-492 ◽

Cited By ~ 185

Author(s):

Jennifer E. Michaels ◽

Thomas E. Michaels

Keyword(s):

Signal Processing ◽

Image Fusion ◽

Guided Wave ◽

Damage Localization ◽

Wave Signal

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The method of bolt axial force looseness monitoring and control by piezoelectric ceramics in bolted joint structures

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/09544062211039882 ◽

2021 ◽

pp. 095440622110398

Author(s):

Xinyao Sun ◽

Jinggan Shao ◽

Yang Zhou ◽

Ci Yuan ◽

Yang Li ◽

...

Keyword(s):

Finite Element ◽

Active Control ◽

Axial Force ◽

Piezoelectric Ceramic ◽

Control Method ◽

Piezoelectric Effect ◽

Guided Wave ◽

Clamping Force ◽

Monitoring And Control ◽

Wave Signal

Aiming at the problem of bolt looseness in structures, this paper proposes an active control method of axial force monitoring through guided wave and axial force compensation via the inverse piezoelectric effect of a piezoelectric ceramic gasket. Based on the finite element model, the propagation process of guided wave wave in bolted connectors is analyzed, which shows that the transmitted wave energy increases with the increase of bolt clamping force. The analysis of the stress-strain characteristics of the axially polarized and radially polarized piezoelectric ceramic gasket shows that the axially polarized piezoelectric ceramic gasket is more suitable for the control of bolt clamping force. The finite element analysis of the application of piezoelectric ceramic gasket in bolt axial force control shows that the power of guided wave signal increases monotonously with the increase of loaded electric field strength. In accordance with these theoretical methods and research, an active control system for bolt axial force is established in this experiment. The system monitors the power of the guided wave signal in real time and controls the axial force of the bolt by adjusting the intensity of the piezoelectric effect, which achieves an accurate control effect.

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