Nondestructive Analysis of Debonds in a Composite Structure under Variable Temperature Conditions

Sikdar, Shirsendu; Kundu, Amit; Jurek, Michał; Ostachowicz, Wiesław

doi:10.3390/s19163454

Cited by 12 publications

(7 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to Lopes et al [7], the acoustic emission signal is defined as the transient elastic waves generated by the rapid release of energy within a material. Regarding this subject, AE techniques have been widely employed to monitor engineering applications [8,9,10,11,12]. For example, in He et al [13], the AE method for detecting metallic grinding burn was presented as a nondestructive detection method.…”

Section: Introductionmentioning

confidence: 99%

A Time–Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer

Viera

Aguiar

Oliveira

et al. 2019

Sensors

View full text Add to dashboard Cite

Innovative monitoring systems based on sensor signals have emerged in recent years in view of their potential for diagnosing machining process conditions. In this context, preliminary applications of fast-response and low-cost piezoelectric diaphragms (PZT) have recently emerged in the grinding monitoring field. However, there is a lack of application regarding the grinding of ceramic materials. Thus, this work presents an analysis of the feasibility of using the acoustic emission signals obtained through the PZT diaphragm, together with digital signal processing in the time–frequency domain, in the monitoring of the surface quality of ceramic components during the surface grinding process. For comparative purpose, an acoustic emission (AE) sensor, commonly used in industry, was used as a baseline. The results obtained by the PZT diaphragm were similar to the results obtained using the AE sensor. The time–frequency analysis allowed to identify irregularities throughout the monitored process.

show abstract

Section: Introductionmentioning

confidence: 99%

A Time–Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer

Viera

Aguiar

Oliveira

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

“…We evaluate the proposed method for the detection and classification of structural changes using experimental data from an aluminum plate instrumented with piezoelectric transducers (PZTs) attached to its surface. Because guided wave propagation‐based SHM strategies have proven their ability to adequately identify defects in structures, in our study, we have also considered the paradigm of guided waves. In this paradigm, the structure is excited by a signal, and the response is measured to create a baseline pattern.…”

Section: Introductionmentioning

confidence: 99%

Vibration‐based detection and classification of structural changes using principal component analysis and ‐distributed stochastic neighbor embedding

Agis

Burgos

Pozo

2020

Struct Control Health Monit

View full text Add to dashboard Cite

Summary This paper describes a structural health monitoring strategy to detect and classify structural changes in structures that can be equipped with sensors. The proposed approach is based on the t‐distributed stochastic neighbor embedding ( t‐SNE), a nonlinear technique that can represent the local structure of high‐dimensional data collected from multiple sensors in a plane or spatial representation. We propose the following basic steps for the detection and classification. First, the raw data are preprocessed: We scale the data using the mean‐centered group scaling and apply principal component analysis to reduce the dimensionality of the scaled data. Second, t‐SNE is applied to represent the scaled and reduced data as points in a plane, defining a cluster for each structural state. Finally, the current structure to be diagnosed is associated with a cluster (or structural state) using three different strategies: (a) the smallest point‐centroid distance; (b) the majority voting; and (c) the sum of the inverse distances. The combination of t‐SNE with our preprocessing and the three proposed classification strategies significantly improves the quality of the clusters that represent different structural states. We evaluate the performance of our method using experimental data from an aluminum plate instrumented with piezoelectric transducers. Results are presented in the time domain, and they reveal the high classification accuracy and strong performance of this method, with a percentage of correct decisions close to 100% in several scenarios.

show abstract

“…The short-circuit current method is not suitable for GIL when it is running under the condition of small load current. Ultrasonic method has been widely studied and applied in partial discharge (PD) localization for power transformers [17,18]. It can locate the fault according to the amplitude of ultrasound, which is less affected by background noise, convenient to operate and easy to realize on-line monitoring.…”

Section: Introductionmentioning

confidence: 99%

The Attenuation and Propagation Law of Ultrasonic Wave in UHV Gas Insulated Line

Fei

Liu

Chen³

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Gas insulated transmission line (GIL) is widely used for power transmission in special geographical environment such as river crossing, mountain crossing and city tunnel crossing scenarios. Because of its totally enclosed structure, it is difficult to locate the fault position when the internal breakdown discharge occurs. Fault location by using the ultrasonic wave aroused by discharge is an efficient method for GIL maintenance. This paper reports the experimental and theoretical results of attenuation and propagation law of ultrasonic signal in GIL. An ultra-high voltage (UHV) GIL model was set up to simulate the geometry and material conditions of real GIL. The common lead breaking signal was adopted to generate ultrasonic source, and the propagation velocity and attenuation coefficient of ultrasonic wave were obtained. The experimental results show that the attenuation coefficient of ultrasonic wave on GIL linear unit is about 0.234 dB/m, and its propagation velocity is about 3.3 km/s. But the attenuation level of ultrasonic wave is much higher when it passes through the epoxy insulators or expansion joints. The validity of the method is verified by the creeping discharge test on the GIL model. In order to analyze the propagation path of ultrasonic wave, the relationship between the path and time is calculated and the shortest propagation time is obtained. The results of this research provide support for the fault location of GIL by ultrasonic wave.

show abstract

Nondestructive Analysis of Debonds in a Composite Structure under Variable Temperature Conditions

Cited by 12 publications

References 29 publications

A Time–Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer

A Time–Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer

Vibration‐based detection and classification of structural changes using principal component analysis and ‐distributed stochastic neighbor embedding

The Attenuation and Propagation Law of Ultrasonic Wave in UHV Gas Insulated Line

Contact Info

Product

Resources

About