Acoustic emission source localization in composite stiffened plate using triangulation method with signal magnitudes and arrival times
TL;DR: In this paper, the triangulation method using the relations of the signal magnitudes and distances between each sensor and impact location was introduced to extract the useful feature having good performance.
Abstract: This paper introduced the triangulation method using the relations of the signal magnitudes and distances between each sensor and impact location. In order to extract the useful feature having good...
Citations
More filters
Dissertation•
01 Jan 2001
TL;DR: In this paper, the authors discuss the process for impact location detection in which the generated acoustic signals are detected by PZT using the improved neural network paradigms, and apply the Levenberg-Marquardt algorithm and the generalization methods to improve the accuracy and reliability of a neural network based impact identification method.
Abstract: Low-velocity impact damage is a major concern in the design of structures made of advanced laminated composites, because such damage is mostly hidden inside the laminates and cannot be detected by visual inspection. It is necessary to develop the impact monitoring techniques providing on-line diagnostics of smart composite structures susceptible to impacts. In this paper, we discuss the process for impact location detection in which the generated acoustic signals are detected by PZT using the improved neural network paradigms. To improve the accuracy and reliability of a neural network based impact identification method, the Levenberg-Marquardt algorithm and the generalization methods were applied. This study concentrates not only on the determination of the location of impacts from sensor data, but also the implementation of time-frequency analysis such as the Wavelet Transform (WT) to measure the characteristic frequencies of acoustic emission waves for the determination of the occurrence and the estimation of impact damage.
77 citations
TL;DR: In this paper, the authors highlight the physics of the wave coupling to the optical fiber and explain the different phenomena such as directional sensitivity and directional coupling of the signal, and identify the encouraging trends and future areas where the field is expected to develop.
Abstract: Guided waves (GW) and acoustic emission (AE) -based structural health monitoring (SHM) have widespread applications in structures, as the monitoring of an entire structure is possible with a limited number of sensors. Optical fiber-based sensors offer several advantages, such as their low weight, small size, ability to be embedded, and immunity to electro-magnetic interference. Therefore, they have long been regarded as an ideal sensing solution for SHM. In this review, the different optical fiber technologies used for ultrasonic sensing are discussed in detail. Special attention has been given to the new developments in the use of FBG sensors for ultrasonic measurements, as they are the most promising and widely used of the sensors. The paper highlights the physics of the wave coupling to the optical fiber and explains the different phenomena such as directional sensitivity and directional coupling of the wave. Applications of the different sensors in real SHM applications have also been discussed. Finally, the review identifies the encouraging trends and future areas where the field is expected to develop.
19 citations
TL;DR: A hybrid support vector regression with multi-domain features is proposed to increase the localization accuracy in determining the locations of low-velocity impacts on the composite plate structure.
18 citations
TL;DR: In this article, a comparative analysis of existing methods has been presented based on their basic principles, key strengths, and limitations, and a deep learning circular sensor cluster-based solution has the potential to provide a low-cost reliable localization solution for acoustic emission sources.
Abstract: he acoustic emission technique has been applied successfully for the identification, characterization, and localization of deformations in civil engineering structures. Numerous localization techniques, such as Modal Acoustic Emission, Neural Networks, Beamforming, and Triangulation methods with or without prior knowledge of wave velocity, have been presented. Several authors have conducted in-depth research in the localization of AE sources. However, existing review papers do not focus on the performance evaluation of existing source localization techniques. This paper discusses these techniques based on the number of sensors used and the geometry of the structures of interest. Furthermore, it evaluates them on the basis of their performance. At the end of this paper, a comparative analysis of existing methods has been presented based on their basic principles, key strengths, and limitations. A deep learning circular sensor cluster-based solution has the potential to provide a low-cost reliable localization solution for acoustic emission sources.
11 citations
TL;DR: Based on the idea of deep metric learning and total least squares, a two-stage method is proposed for random impact force localization and reconstruction in this paper , which can obtain quite low localization errors on the three-dimensional composite structure, while robust and accurate reconstruction can be achieved even under high noise level.
11 citations
References
More filters
TL;DR: In this article, a general method of calculating the location of defects in two dimensions from the arrival times at the sensors is presented. But the ACEMAN system, which uses this method can derive the resolution properties of a sensor array in about 7.5 min.
Abstract: Sensors on the surface of a material under stress can detect acoustic emissions from a defect within the material. The difference in time of detection of an emission from the defect at different sensors gives a way of finding where it is. This paper shows a general method of calculating the location of defects in two dimensions from the arrival times at the sensors. The ACEMAN system, which uses this method can derive the resolution properties of a sensor array in about 7.5 min.
260 citations
"Acoustic emission source localizati..." refers methods in this paper
...Also, the triangulation method has been widely used for estimating impact locations since Tobias [15] applied it for isotropic materials....
[...]
TL;DR: In this paper, a beamforming-based acoustic emission (AE) analysis was proposed for field applications on large plate-like reinforced concrete structures, such as walls and bridge decks.
139 citations
TL;DR: In this paper, Laminated composites are susceptible to delamination due to their weak transverse tensile and interlaminar shear strength as compared to their in-plane properties.
Abstract: Laminated composites are susceptible to delamination due to their weak transverse tensile and interlaminar shear strengths as compared to their in-plane properties. Delamination damage can occur in...
109 citations
TL;DR: In this paper, an unsupervised pattern recognition procedure is applied to identify damage mechanisms from acoustic signals, and a spatial and time analysis of acoustic events and heat sources is developed and some correlation range in the acoustic and IT events amplitude are identified.
Abstract: Acoustic emission (AE) and infrared thermography (IT) are simultaneously combined to identify damage evolution in carbon fibre reinforced composites. Samples are subjected to tensile static loads while acoustic emission sensors and an infrared camera record the acoustic signals and the temperature variations respectively. Unsupervised pattern recognition procedure is applied to identify damage mechanisms from acoustic signals. Thermodynamic arguments are introduced to estimate global heat source fields from thermal measurements and anisotropic heat conduction behavior is taken into account by means of homogenization technique. A spatial and time analysis of acoustic events and heat sources is developed and some correlation range in the AE and IT events amplitude are identified.
102 citations
TL;DR: A near-field acoustic emission (AE) beamforming method to estimate the AE source locations by using a small array of sensors closely placed in a local region is introduced and can effectively determine the region where rubbing occurs.
79 citations