Non-Intrusive Continuous Monitoring of Leaks for an In-Service Penstock DOI Creative Commons

Marius Nati,

Cristina Despina‐Stoian,

Dragoș Nastasiu

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(16), P. 5182 - 5182

Published: Aug. 11, 2024

In modern industries, pipelines play a crucial role, both as an essential element in energy transportation (water, gas and electricity) also the distribution of these resources. The large size piping infrastructures, their age unpredictable external factors are main difficulties monitoring system. this context, detection localization leaks challenging but essential, lead to substantial economic losses. Current methods have many limitations, involving invasive procedures, working only with short pipes or requiring system shutdown. This paper presents non-intrusive method based on acoustic signal processing. Leak is performed using matched filters, while phase diagram representation diagram-based entropy computation. Our continuous was used for two months full comparison video inspection-based technique conducted. results indicate that has high accuracy, regardless length pipe.

Language: Английский

Localization Enhancement of Forward-Transmission Distributed Vibration Sensors Using Phase Differentiation Endpoint Amplification DOI
W. Kong, Fei Liu, Zhu Guo

et al.

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(11), P. 17669 - 17676

Published: April 23, 2024

Forward-transmission fiber-optic distributed vibration sensors have potential use in long-distance sensing and integration with optical communication networks. However, the ability to localize disturbance events low-frequency is fairly inferior high-frequency events, which hinders broader application of such sensors. To address this problem, we propose a Phase Differentiation Endpoint Amplification (PDEA) method optimize sensor's frequency response for event localization. By differentiating original extracted phase signal, proposed amplifies amplitude endpoints event. Via cross-correlation, endpoint amplification reduces localization errors. Experimental results demonstrate that forward transmission system using maintains accuracy within ±51 m across frequencies from 300 Hz 10 kHz over 122 km range. Additionally, system's capability disturbances occurring at near-end notably enhanced. The PDEA algorithm significantly improves wide-frequency forward-transmission enhanced will be beneficial when are applied scenarios as integrated (IOSAC).

Language: Английский

Citations

0
Acoustic signal adversarial augmentation for pressure pipeline leakage detection DOI

Kaixuan Wang,

Yong Yang, Xiaoli Zhao

et al.

Engineering Research Express, Journal Year: 2024, Volume and Issue: 6(3), P. 035538 - 035538

Published: Aug. 2, 2024

Abstract Pressure pipelines are prone to leakage under harsh working condition for a long time, and the detection reaches unsatisfactory performance due influence of background noise insufficient sample acoustic signals. Therefore, signals adversarial augmentation method is proposed pressure pipeline based on reduction generation. By deeply connecting with generative network (GAN), denoising autoencoder (DAE) residual (ResNet), generation model (ADGM) established reduce signal. In addition, trained DAE ADGM applied augment samples, thereby completing signal, which significant detection. Besides, experiment implemented validate generation, can reach accuracy 93.02% augmented Further, effectiveness superiority tested by ablation experiments comparative methods.

Language: Английский

Citations

0
Research on a Method for Classifying Bolt Corrosion Based on an Acoustic Emission Sensor System DOI Creative Commons

Shuyi Di,

Yin Wu, Wenbo Liu

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(15), P. 5047 - 5047

Published: Aug. 4, 2024

High-strength bolts play a crucial role in ultra-high-pressure equipment such as bridges and railway tracks. Effective monitoring of bolt conditions is paramount importance for common fault repair accident prevention. This paper aims to detect classify corrosion levels accurately. We design implement classification system based on Wireless Acoustic Emission Sensor Network (WASN). Initially, WASN nodes collect high-speed acoustic emission (AE) signals from bolts. Then, the ReliefF feature selection algorithm applied identify optimal combination. Subsequently, Extreme Learning Machine (ELM) model utilized classification. Additionally, achieve high prediction accuracy, an improved goose (GOOSE) employed ensure most suitable parameter combination ELM model. Experimental measurements were conducted five classes levels: 0%, 25%, 50%, 75%, 100%. The accuracy obtained using proposed method was at least 98.04%. Compared state-of-the-art diagnostic models, our approach exhibits superior AE signal recognition performance stronger generalization ability adapt variations working conditions.

Language: Английский

Citations

0
Pseudo-Spectral Spatial Feature Extraction and Enhanced Fusion Image for Efficient Meter-Sized Lunar Impact Crater Automatic Detection in Digital Orthophoto Map DOI Creative Commons

Huiwen Liu,

Ying-Bo Lü,

Li Zhang

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(16), P. 5206 - 5206

Published: Aug. 11, 2024

Impact craters are crucial for our understanding of planetary resources, geological ages, and the history evolution. We designed a novel pseudo-spectral spatial feature extraction enhanced fusion (PSEF) method with YOLO network to address problems encountered during detection numerous densely distributed meter-sized impact on lunar surface. The illumination incidence edge features, isotropic eigen frequency features extracted by Sobel filtering, LoG domain bandpass respectively. Then, PSEF images created techniques preserve additional details from original DOM data. Moreover, we conducted experiments using DES optimize post-processing parameters models, thereby determining parameter ranges practical deployment. Compared Basal model, model exhibited superior performance, as indicated multiple measurement metrics, including precision, recall, F1-score, mAP, robustness, etc. Additionally, statistical analysis error metrics predicted bounding boxes shows that performance is excellent in predicting size, shape, location craters. These advancements offer more accurate consistent detect surfaces, providing support exploration study celestial bodies solar system.

Language: Английский

Citations

0
Non-Intrusive Continuous Monitoring of Leaks for an In-Service Penstock DOI Creative Commons

Marius Nati,

Cristina Despina‐Stoian,

Dragoș Nastasiu

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(16), P. 5182 - 5182

Published: Aug. 11, 2024

In modern industries, pipelines play a crucial role, both as an essential element in energy transportation (water, gas and electricity) also the distribution of these resources. The large size piping infrastructures, their age unpredictable external factors are main difficulties monitoring system. this context, detection localization leaks challenging but essential, lead to substantial economic losses. Current methods have many limitations, involving invasive procedures, working only with short pipes or requiring system shutdown. This paper presents non-intrusive method based on acoustic signal processing. Leak is performed using matched filters, while phase diagram representation diagram-based entropy computation. Our continuous was used for two months full comparison video inspection-based technique conducted. results indicate that has high accuracy, regardless length pipe.

Language: Английский

Citations

0