scholarly journals A Novel Fabry-Pérot Optical Sensor for Guided Wave Signal Acquisition

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1728
Author(s):  
Cheng Xu ◽  
Zahra Sharif Khodaei
Keyword(s):  
Damage Detection ◽  
Guided Waves ◽  
Detection System ◽  
Guided Wave ◽  
Signal Acquisition ◽  
System A ◽  
Fabry Perot ◽  
Fbg Sensors ◽  
Improved Performance ◽  
New Sensors

In this paper, a novel hybrid damage detection system is proposed, which utilizes piezoelectric actuators for guided wave excitation and a new fibre optic (FO) sensor based on Fabry-Perot (FP) and Fiber Bragg Grating (FBG). By replacing the FBG sensors with FBG-based FP sensors in the hybrid damage detection system, a higher strain resolution is achieved, which results in higher damage sensitivity and higher reliability in diagnosis. To develop the novel sensor, optimum parameters such as reflectivity, a wavelength spectrum, and a sensor length were chosen carefully through an analytical model of the sensor, which has been validated with experiments. The sensitivity of the new FBG-based FP sensors was compared to FBG sensors to emphasize the superiority of the new sensors in measuring micro-strains. Lastly, the new FBG-based FP sensor was utilized for recording guided waves in a hybrid setup and compared to the conventional FBG hybrid sensor network to demonstrate their improved performance for a structural health monitoring (SHM) application.

Damage Detection With Guided Waves and Fiber Bragg Grating Sensor Arrays

2016 ◽  
Author(s):  
Xiaoyi Sun ◽  
Zhenhua Tian ◽  
Bin Lin ◽  
Lingyu Yu
Keyword(s):  
Damage Detection ◽  
Fiber Bragg Grating ◽  
Guided Waves ◽  
Phased Array ◽  
Experimental Studies ◽  
Guided Wave ◽  
Bragg Grating ◽  
Wave Source ◽  
Fbg Sensors ◽  
Beamforming Algorithm

This paper presents a damage detection and imaging approach using guided waves and through the use of optical fiber Bragg Grating (FBG) sensors for structural health monitoring (SHM) purpose. An FBG array composed with four linearly aligned FBG sensors for guided wave sensing is designed. It is found that FBG sensors are optimized for sensing guided wave coming along the axial direction yet minimized for those along the normal direction. To overcome this limitation and allow for all directional sensing, a FBG phased array beamforming algorithm is derived based on the commonly used delay-and-sum beamforming algorithm principle. The work continues to evaluate the detection capability of the FBG array through two experimental studies on an aluminum plate: (a) guided wave source localization; (b) surface damage detection. The results indicates that both targets are successfully detected and agree well with their actual locations and thus confirms the capability of using presented FBG phased array for rapidly inspecting a large area with limited access.

scholarly journals Numerical Simulation on Micro-damage Detection In CFRP Composites Based on Nonlinear Ultrasonic Guided Waves

2021 ◽  
Keyword(s):  
Damage Detection ◽  
Composite Structures ◽  
Guided Waves ◽  
Second Harmonic ◽  
Wave Mode ◽  
Guided Wave ◽  
Reinforced Plastics ◽  
Matrix Cracks ◽  
Nonlinear Ultrasonic ◽  
Contact Acoustic Nonlinearity

Abstract. Micro-damages such as pores, closed delamination/debonding and fiber/matrix cracks in carbon fiber reinforced plastics (CFRP) are vital factors towards the performance of composite structures, which could collapse if defects are not detected in advance. Nonlinear ultrasonic technologies, especially ones involving guided waves, have drawn increasing attention for their better sensitivity to early damages than linear acoustic ones. The combination of nonlinear acoustics and guided waves technique can promisingly provide considerable accuracy and efficiency for damage assessment and materials characterization. Herein, numerical simulations in terms of finite element method are conducted to investigate the feasibility of micro-damage detection in multi-layered CFRP plates using the second harmonic generation (SHG) of asymmetric Lamb guided wave mode. Contact acoustic nonlinearity (CAN) is introduced into the constitutive model of micro-damages in composites, which leads to the distinct SHG compared with material nonlinearity. The results suggest that the generated second order harmonics due to CAN could be received and adopted for early damage evaluation without matching the phase of the primary waves.

Temperature Effects on Guided Wave Structural Damage Detection

2008 ◽  
Vol 47-50 ◽  
pp. 129-132 ◽  
Author(s):  
Chan Yik Park ◽  
Seung Moon Jun
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Guided Waves ◽  
Guided Wave ◽  
Low Velocity Impact ◽  
Structural Damage Detection ◽  
Low Velocity ◽  
Simple Method ◽  
Temperature Changes ◽  
Health Monitoring Systems

Guided wave structural damage detection is one of promising candidates for the future aircraft structural health monitoring systems. There are several advantages of guided wave based damage detection: well established theoretical studies, simple sensor devices, large sensing areas, good sensitivity, etc. However, guided wave approaches are still vulnerable to false warnings of detecting damage due to temperature changes of the structures. Therefore, one of main challenges is to find an effective way of compensating temperature changes and to imply it to existing damage detect algorithms. In this paper, a simple method for applying guided waves to the problem of detecting damage in the presence of temperature changes is presented. In order to examine the effectiveness of the presented method, delaminations due to low-velocity impact on composite plate specimens are detected. The results show that the presented approach is simple but useful for detecting structural damage under the temperature variations.

Guided-wave signal processing by the sparse Bayesian learning approach employing Gabor pulse model

2016 ◽  
Vol 16 (3) ◽  
pp. 347-362 ◽  
Author(s):  
Biao Wu ◽  
Yong Huang ◽  
Xiang Chen ◽  
Sridhar Krishnaswamy ◽  
Hui Li
Keyword(s):  
Damage Detection ◽  
Bayesian Learning ◽  
Guided Waves ◽  
Learning Algorithm ◽  
Guided Wave ◽  
Sparse Bayesian Learning ◽  
Mode Identification ◽  
Wave Signal ◽  
Gabor Dictionary ◽  
The Many

Guided waves have been used for structural health monitoring to detect damage or defects in structures. However, guided wave signals often involve multiple modes and noise. Extracting meaningful damage information from the received guided wave signal becomes very challenging, especially when some of the modes overlap. The aim of this study is to develop an effective way to deal with noisy guided-wave signals for damage detection as well as for de-noising. To achieve this goal, a robust sparse Bayesian learning algorithm is adopted. One of the many merits of this technique is its good performance against noise. First, a Gabor dictionary is designed based on the information of the noisy signal. Each atom of this dictionary is a modulated Gaussian pulse. Then the robust sparse Bayesian learning technique is used to efficiently decompose the guided wave signal. After signal decomposition, a two-step matching scheme is proposed to extract meaningful waveforms for damage detection and localization. Results from numerical simulations and experiments on isotropic aluminum plate structures are presented to verify the effectiveness of the proposed approach in mode identification and signal de-noising for damage detection.

scholarly journals Towards Interpretable Machine Learning for Automated Damage Detection Based on Ultrasonic Guided Waves

Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 406
Author(s):  
Christopher Schnur ◽  
Payman Goodarzi ◽  
Yevgeniya Lugovtsova ◽  
Jannis Bulling ◽  
Jens Prager ◽  
...  
Keyword(s):  
Machine Learning ◽  
Damage Detection ◽  
Damage Assessment ◽  
Guided Waves ◽  
Industrial Condition ◽  
Guided Wave ◽  
Ultrasonic Guided Waves ◽  
Classification Rate ◽  
Feature Extraction And Selection ◽  
Combination Of Methods

Data-driven analysis for damage assessment has a large potential in structural health monitoring (SHM) systems, where sensors are permanently attached to the structure, enabling continuous and frequent measurements. In this contribution, we propose a machine learning (ML) approach for automated damage detection, based on an ML toolbox for industrial condition monitoring. The toolbox combines multiple complementary algorithms for feature extraction and selection and automatically chooses the best combination of methods for the dataset at hand. Here, this toolbox is applied to a guided wave-based SHM dataset for varying temperatures and damage locations, which is freely available on the Open Guided Waves platform. A classification rate of 96.2% is achieved, demonstrating reliable and automated damage detection. Moreover, the ability of the ML model to identify a damaged structure at untrained damage locations and temperatures is demonstrated.

Guided Wave Damage Detection in Power-Plant-Tubes by Using Magnetostrictive Transducer Arrays

2015 ◽  
Author(s):  
Peng Guo ◽  
Hongyuan Li ◽  
Zhenhua Tian ◽  
Hong Xu
Keyword(s):  
Power Plant ◽  
Damage Detection ◽  
Guided Waves ◽  
Small Diameter ◽  
Wave Mode ◽  
Guided Wave ◽  
Detection Technique ◽  
Thick Wall ◽  
Transducer Arrays ◽  
Magnetostrictive Transducer

This paper presents an efficient damage detection technique for power-plant-tubes by using guided waves and magnetostrictive transducer arrays. Particularly, our detection technique focuses on the small diameter and thick wall power-plant-tubes, such as superheater tubes, reheater tubes and water wall tubes. Firstly, the damage effects on guided waves in small diameter and thick wall tubes were studied by using three-dimensional finite element method. The wave reflections and mode conversions induced by damage were investigated. Secondly, based on T (0, 1)-F (n, 2) modes, magnetostrictive transducers were designed for guided wave generation and sensing in small diameter and thick wall tubes. The designed magnetostrictive transducers can effectively generate and measure guided waves, especially the non-dispersive torsional T (0, 1) wave mode. Finally, a magnetostrictive transducer array was developed for damage detection in small diameter and thick wall tubes. Through a virtual focusing array imaging algorithm, intensity images were constructed, which can show both the location and size of damage.

scholarly journals A New Approach to Guided Wave Ray Tomography for Temperature-Robust Damage Detection Using Piezoelectric Sensors

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3518 ◽  
Author(s):  
Dan Li ◽  
Ming Shi ◽  
Feng Xu ◽  
Chengcheng Liu ◽  
Jianqiu Zhang ◽  
...  
Keyword(s):  
Damage Detection ◽  
Health Monitoring ◽  
Temperature Compensation ◽  
Guided Waves ◽  
Guided Wave ◽  
Piezoelectric Sensors ◽  
Thickness Change ◽  
New Approach ◽  
Isotropic Plates ◽  
Wave Ray

In this paper, a new approach to guided wave ray tomography for temperature-robust damage detection with time-of-flight (TOF) temperature compensation is developed. Based on the linear relationship between the TOF of a guided wave and temperature, analyses show that the TOF of the baseline signal can be compensated by the temperature measurement of the inspected materials without estimating the temperature compensation parameters. The inversion is based on the optimization of the TOF misfit function between the inspected and compensated baseline TOFs of the guided waves, and is applied by the elastic net penalty approach to perform thickness change mapping in a structural health monitoring (SHM) application. Experiments that are conducted in isotropic plates by piezoelectric sensors demonstrate the effectiveness of the proposed method. According to the results, our approach not only eliminates the artefacts that are caused by a temperature variation from 25 °C to 70 °C but also provides more accurate and clearer imaging of damage than conventional ray tomography methods.

scholarly journals A Simplified Integration of Multi-Channel Ultrasonic Guided Wave System for Phased Array Detection and Total Focusing Imaging

2021 ◽  
Vol 26 (2) ◽  
pp. 104-109
Author(s):  
Yan Lyu ◽  
Huaxing Hong ◽  
Guorong Song ◽  
Cunfu He
Keyword(s):  
Sensor Array ◽  
Guided Waves ◽  
Phased Array ◽  
Control Unit ◽  
Tone Burst ◽  
Guided Wave ◽  
Detection Sensitivity ◽  
Signal Acquisition ◽  
Wave System ◽  
Array Detection

Ultrasonic guided waves based on sensors array effectively improve the detection sensitivity of defects and realize the intuitive imaging of defects. In this research, a 16-channel guided wave excitation/acquisition system is simply integrated for the array focusing detection. Using a FPGA (Field Programmable Gate Array) as the main control unit, a high-voltage excitation of a multi-channel tone-burst signal with synchronous signal acquisition is designed. Experiments are conducted by the developed multi-channel system and the piezoelectric linear array. A guided wave phased array and the total focusing imaging algorithm are demonstrated on a 1mm aluminum plate. The experimental results show that the system can meet the practical requirements of guided wave array focusing detection. By combining the total focusing method and the phase-based sign coherence factor, the compounded image shows that the artifacts can effectively be reduced, and the contrast is improved. Meanwhile, this system can solve the problem of distributed sensor array detection, in which the process is cumbersome and inefficient previously. Through the system and the sensor array, the guided wave phased focusing method and the composite total focusing method can effectively improve the sensitivity and the positioning accuracy of defect detection in thin plate.

REAL TIME DAMAGE DETECTION SYSTEM USING GUIDED WAVES IN ACSR CABLES

2011 ◽  
Author(s):  
R. Mijarez ◽  
F. Martinez ◽  
A. Baltazar ◽  
Donald O. Thompson ◽  
Dale E. Chimenti
Keyword(s):  
Damage Detection ◽  
Real Time ◽  
Guided Waves ◽  
Detection System

SHM of Composite Mono-Stringer Elements Based on Guided Waves

2019 ◽  
Vol 827 ◽  
pp. 464-469 ◽  
Author(s):  
D.G. Bekas ◽  
M. Mora Mendias ◽  
Zahra Sharif Khodaei ◽  
Evangelos Karachalios ◽  
F.J. Chamorro Alonso ◽  
...  
Keyword(s):  
Damage Detection ◽  
Health Monitoring ◽  
Guided Waves ◽  
Impact Damage ◽  
Guided Wave ◽  
Piezoelectric Transducers ◽  
Weighted Energy ◽  
Wave Measurements ◽  
Before And After ◽  
Manufacturing Technologies

In this work, the applicability of structural health monitoring (SHM) technique for damage detection in two composite mono-stringers representative of composite fuselage are investigated. The two different manufacturing technologies are co-curing and co-bonding of composite mono-stringers to the skin. The panels were then impacted at the foot of the stringer to cause Barely Visible Impact Damage (BVID). Piezoelectric transducers were surface mounted on the mono-stringers, guided wave measurements before and after impact were taken and used for detecting damage based on Weighted Energy Arrival Method (WEAM).

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