Study on PCA-SAFT imaging using leaky Rayleigh waves

Shen, Xiaowei; Hu, Hongwei; Li, Xiongbing; Li, Shan

doi:10.1016/j.measurement.2020.108708

Cited by 16 publications

(5 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

…”

Section: Experimental Methods and Configurationmentioning

confidence: 99%

“…Li [18] proposed a non-near-axis multi-Gaussian beam (NMGB) model for leaky Rayleigh waves (LRW) generated by a focused submerged transducer with tilted incidence and also verified the quantitative relationship between the curvature of different materials and the attenuation due to leakage. Li [19] proposed an imaging detection method that combines leaky Rayleigh wave detection and synthetic aperture focusing technique (SAFT) with immersion pulse-echo scanning. By incorporating the attenuation of LRW during planar propagation, the NMGB model of the LRW velocity field can be expressed as: Li [18] proposed a non-near-axis multi-Gaussian beam (NMGB) model for leaky Rayleigh waves (LRW) generated by a focused submerged transducer with tilted incidence and also verified the quantitative relationship between the curvature of different materials and the attenuation due to leakage.…”

Section: Inlet and Exhaust Side Defect Detection Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Robotic Ultrasonic Testing Technology for Aero-Engine Blades

Xiao

2023

Sensors

View full text Add to dashboard Cite

With the rapid development of the aerospace industry, the quality inspection of complex curved components, such as aero-engine blades, is becoming increasingly strict. In contrast with other NDT methods, ultrasonic testing is easier to automate, while offering higher accuracy and efficiency in thickness measuring. To solve the challenge of the automated NDT inspection of aero-engine blades, in this study, an ultrasonic inspection system with a six degree of freedom (DOF) was proposed for industrial robots. Additionally, a defect detection model and a thickness detection method were proposed for the robotic ultrasonic inspection system, based on the thickness variation of the aero-engine blade. Through the quantitative analysis on engine blades with prefabricated defects and curved test blocks with stepped thicknesses, it can be concluded that our system is able to achieve high accuracy in defect detection and thickness measurement.

show abstract

…”

Section: Experimental Methods and Configurationmentioning

confidence: 99%

Section: Inlet and Exhaust Side Defect Detection Methodsmentioning

confidence: 99%

Robotic Ultrasonic Testing Technology for Aero-Engine Blades

Xiao

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…13,16 Among AE waves, Rayleigh waves account for the largest proportion of energy and propagate along the surface of the tested structure, and their amplitudes attenuate slower than those of P and S waves; so that Rayleigh waves can propagate farther. 33,34 Therefore, the AE waves along the surface of the tested structure are mainly Rayleigh waves, which induce phase differences in the excitation on the piezoelectric ceramic surface. The excitation sound waves with opposite phase offset each other on the piezoelectric ceramic surface, resulting in the reduction or even disappearance of the resonance peak of the piezoelectric ceramic and thus leading to aperture effect.…”

Section: Dimensional Parameter Model Of Piezoelectric Ceramicsmentioning

confidence: 99%

A novel acoustic emission sensor design and modeling method for monitoring the status of high-speed train bearings

Han

Hou

et al. 2023

Structural Health Monitoring

View full text Add to dashboard Cite

Acoustic emission (AE) technology is suitable for monitoring the status of high-speed train bearings owing to its high sensitivity and real-time dynamic monitoring capabilities. However, a complete theoretical model of the AE sensor, which is the core component of AE signal sensing equipment, has not yet been reported. The existing matching layer models do not account for wave attenuation in the matching layer. To address these shortcomings, we established a novel piezoelectric AE sensor design and modeling method. First, a rough contact model is established for piezoelectric ceramics, and the influence of roughness on size selection of piezoelectric ceramics is analyzed. Second, the sound intensity transmission coefficient (SITC) model of the matching layer is established considering the attenuation of AE waves, and the corresponding relationship between the attenuation coefficient and the optimum thickness of the matching layer is derived. Then a complete finite element (FE) model of an AE sensor is established, and the electroacoustic properties of the AE sensor are numerically simulated based on acoustic and piezoelectric coupling. Furthermore, AE sensors with different thicknesses of matching layers are constructed, and the validity of the mathematical model of the matching layer is verified through a lead-breaking experiment. Thereafter, a novel comprehensive performance evaluation index (CPEI) is designed through principal component analysis (PCA) based on hit parameters of AE sensors. Finally, the effectiveness and environmental adaptability of the AE sensor is verified by performance testing under complex conditions near an actual high-speed train line. The proposed method can provide a valuable theoretical framework for AE sensor design and status monitoring of high-speed train bearings.

show abstract

“…Image object is an area in the image which is a pixel matrix. Image objects have position coordinates that can be known from the coordinates of the X and Y axes in the 2D image dimensions [18].…”

Section: Introductionmentioning

confidence: 99%

Distance Estimation Between Camera and Shrimp Underwater Using Euclidian Distance and Triangles Similarity Algorithm

Setiawan¹,

Hadiyanto²,

Widodo³

2022

ISI

View full text Add to dashboard Cite

Camera is the main tool for monitoring shrimp underwater with a noninvasive method. Distance of the shrimp underwater with the varying camera causes the monitoring of the estimated shrimp size to be less accurate. This study provides a new solution to detect the distance of shrimp underwater with a camera using the Euclidian distance and triangle similarity algorithm. The problem raised in this study is how to measure the distance of a shrimp underwater with a camera. The method used has several stages, including using the grayscale image method, image thresholding, edge detection, detection of Region of Interest (ROI), determining the position of shrimp coordinates, calculating the length of shrimp coordinates, camera calibration using the triangle similarity algorithm, calculating the estimated distance of shrimp with the camera. The study results obtained a focal length value of 1298.58, the value of the distance between the shrimp and the camera (D') for 5 positions of shrimp underwater from 50 cm – 19.86 cm, and the RE value from 0% - 0.13%. In conclusion, this method can be used to measure the estimated distance between of moving shrimp and a camera with a low error rate.

show abstract

Study on PCA-SAFT imaging using leaky Rayleigh waves

Cited by 16 publications

References 33 publications

Robotic Ultrasonic Testing Technology for Aero-Engine Blades

Robotic Ultrasonic Testing Technology for Aero-Engine Blades

A novel acoustic emission sensor design and modeling method for monitoring the status of high-speed train bearings

Distance Estimation Between Camera and Shrimp Underwater Using Euclidian Distance and Triangles Similarity Algorithm

Contact Info

Product

Resources

About