Article
Engineering, Mechanical
Zahoor Ahmad, Tuan-Khai Nguyen, Akhand Rai, Jong-Myon Kim
Summary: This paper proposes a novel technique for leak detection and localization in industrial fluid pipelines. The method utilizes acoustic emission signals and a multiscale Mann-Whitney test for leak detection, and a newly developed method called acoustic emission event tracking for leak localization. The results demonstrate that this method outperforms reference methods in terms of accuracy for leak detection and localization under variable pressure and leak conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Multidisciplinary
Tong Liu, YuCheng Jin, Shuo Wang, QinWen Zheng, Guoan Yang
Summary: This paper proposes a denoising method of acoustic emission (AE) signals based on the combination of autoencoder and wavelet packet decomposition (AE-WPD) to address the problem of weak AE signals being submerged in strong background noise in the actual operating conditions of the engine. The proposed method decomposes the engine background noise signals and noise-containing fault AE signals using wavelet packet, enhances the local analysis capability of the autoencoder, and analyzes the differences between the background noise signals and the noise-containing fault signals. The experimental results show that the proposed AE-WPD method outperforms other denoising methods at different signal-to-noise ratios (SNR).
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Claudia Barile, Caterina Casavola, Giovanni Pappalettera, Vimalathithan Paramsamy Kannan
Summary: Signal-based acoustic emission data were analyzed in this research to identify damage modes in CFRP composites. Novel methodologies were introduced, and the 'dmey' wavelet was chosen for damage process identification through WPT, which showed consistent results with shifting in spectral density for characterizing damage modes.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Chemistry, Analytical
Sajjad Ahmad, Zahoor Ahmad, Cheol-Hong Kim, Jong-Myon Kim
Summary: This paper proposes a reliable technique for pipeline leak detection using acoustic emission signals. The technique extracts global and local features from acoustic images obtained through continuous wavelet transform, and applies a shallow artificial neural network to identify the pipeline leak state.
Article
Construction & Building Technology
Indrashish Saha, R. Vidya Sagar
Summary: This study characterized the acoustic emission generated during tensile fracture in Steel fibre reinforced concrete (SFRC) using Wavelet Packet Decomposition (WPD) and pattern recognition techniques, revealing the impact of steel fibres on AE energy and its significance in understanding damage development in concrete.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Engineering, Multidisciplinary
Zonglian Wang, Keqin Ding, Huilan Ren, Jianguo Ning
Summary: The study investigates the evolution of micro-cracks in concrete materials by analyzing acoustic emission signals, leading to the division of the damage process into crack initiation, crack growth, and crack coalescence stages. Statistical analysis of experimental data reveals a gradual decrease in acoustic emission signal frequencies with the evolution of concrete prism damage, consistent with theoretical predictions.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Engineering, Industrial
Kyumin Na, Heonjun Yoon, Jaedong Kim, Sungjong Kim, Byeng D. Youn
Summary: This paper proposes a novel method called probabilistic energy-ratio-based localization (PERL) for boiler tube leak localization in a thermal power plant using acoustic emission sensors. The method calculates the ratio of the signal energy from the specific band energy using acoustic dissipation theory and characterizes the uncertainty of the measured root mean square (RMS) in a probabilistic manner. Case studies confirm that the proposed method enables accurate localization of a boiler tube leak position.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Multidisciplinary
Suzhen Li, Chenyang Gong, Zelong Liu
Summary: This study examines the application of acoustic sensing techniques for leak detection, identifying challenges related to multi modes and dispersion in pipeline acoustic signals. Field tests are conducted to investigate various factors affecting in-situ measurements, and two methods based on discrete wavelet transform and time-frequency spectrum are employed for leak locating. The accuracy of the positioning methods is compared and discussed with regards to the influence factors in field testing.
Article
Acoustics
Zhaoli Yan, Xiwang Cui, Yan Gao
Summary: In this paper, an active acoustic injection method is presented to stimulate specific frequency sound waves into the pipeline for leak detection based on weak echoes from the leak location. Further analysis is conducted on the relationships between the reflection coefficient and the size of the leak hole, the pipe diameter, the wall thickness of the pipe and the sound frequency. Field test results indicate that a leak localization accuracy of 0.1 m can be achieved by the proposed method, which may be beneficial to practical leakage detection in gas pipelines.
Article
Engineering, Electrical & Electronic
Xiaojuan Han, Wanying Cao, Xiwang Cui, Yan Gao, Feng Liu
Summary: This article presents a plastic pipeline leak localization method based on wavelet packet decomposition and higher order cumulants. Hydrophone sensors are used to capture the acoustic signals generated by water leakage in the plastic pipe. The most suitable wavelet packet basis function for leak signals is obtained through comparison of various wavelet packet basis functions. The higher order cumulant method is used to estimate the time delay between the sensor signals and locate the leak hole. The results show that the higher order cumulant method has higher leak localization accuracy compared to other methods.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Construction & Building Technology
Jie Xu, Xianli Niu, Qian Ma, Qinghua Han
Summary: Adding ceramic waste aggregate (CWA) to rubber cement mortar (RCM) can significantly improve the mechanical properties of composite mortar. However, the strength first increases at low content and then decreases at high content due to the high water absorption of the aggregate.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Construction & Building Technology
Zewei Zhang, Leixia Zhang, Ming Fu, Didem Ozevin, Hongyong Yuan
Summary: As an integral part of a city's infrastructure, urban underground natural gas pipeline network plays a crucial role in energy transmission. This study presents a novel method for identifying leaks in buried gas pipelines by using leak noise in the surrounding soil. Experimental results show that the proposed method achieves accurate leak localization, with a maximum error rate of 12%.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2022)
Review
Engineering, Mechanical
Zhongyu Hu, Salman Tariq, Tarek Zayed
Summary: Research on acoustic-based leak localization technology has become popular in recent years, with a focus on cross-correlation methods and the development of signal processing algorithms. Future research directions may include altering the number of sensors, developing wireless detection systems, and more.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Multidisciplinary
Nitin Burud, J. M. Chandra Kishen
Summary: This work delves into the spectral realm of acoustic emission waveforms, proposing the use of wavelet entropy to estimate spectral disorder. It demonstrates the potential dual application of wavelet entropy as a signal discriminator and damage index. The increase in statistical variance of wavelet entropy distribution with stress level indicates the presence of multi-sources and multi-mechanistic fracture processes.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Chemistry, Analytical
Juan Luis Ferrando Chacon, Telmo Fernandez de Barrena, Ander Garcia, Mikel Saez de Buruaga, Xabier Badiola, Javier Vicente
Summary: There is an increasing trend in the industry towards real-time monitoring of critical aspects like tool wear to reduce costs and scrap in machining processes. Machine learning models based on tool wear data are becoming popular as they simplify the development of physical models. While acoustic emission (AE) technique is widely used for real-time monitoring of industrial assets like cutting tools, the interpretation and processing of AE signals is complex.
Article
Thermodynamics
Hong Ge, Xinli Li, Yijiao Li, Gang Lu, Yong Yan
Summary: This study introduces an identification method for types of biomass fuels by combining flame spectroscopic monitoring and tree model algorithms, and the results demonstrate that the proposed method can accurately identify different types of biomass fuels with an average identification success rate of 98%.
COMBUSTION SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Multidisciplinary
Xiangchen Qian, Fengjie Li, Yong Yan, Gang Lu, Hao Liu
Summary: The combustion characteristics of individual coal particles were studied with a quantitative method using digital images to measure physical parameters. The experimental results showed that volatile and char combustion occurred successively, with volatile matter being combusted rapidly. The particles exhibited different rotations frequencies at different combustion phases, and traveled upwards due to devolatilisation and volatile combustion influences.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Multidisciplinary
Lu Bai, Matthew G. Pepper, Yong Yan, Malcolm Phillips, Mohamed Sakel
Summary: The study demonstrates that our multi-sensor inertial sensing system can provide additional insights for motion quantification pre and post Botulinum Toxin treatment, with improvements observed in kinematic parameters and smoothness quantification parameters after treatment.
Article
Engineering, Electrical & Electronic
Yong Yan, Jiali Wu, Yonghui Hu
Summary: This paper presents a study on using electrostatic probes to measure charge density in flames. Experimental results show that the charge density in a methane diffusion flame increases with fuel flowrate, while in a methane-air premixed flame, it varies with equivalence ratio. The developed electrostatic probe and index can effectively indicate charge density in different flames.
IEEE SENSORS JOURNAL
(2021)
Article
Automation & Control Systems
Ling Qin, Wei-jie Huo, Jing Hu, Jian Wang, Wan-sheng Zhao, Ya-ou Zhang
Summary: Spark discharge plasma in electrical discharge machining is difficult to measure, but a parallel PIC-MCC simulation architecture based on GPU can effectively analyze the machining process. The simulation results show that the micro-peak geometry limits the plasma size and the energy absorbed by the anode is higher than that of the cathode.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Yongyue Wang, Xiangchen Qian, Lijuan Wang, Yong Yan
Summary: A novel approach using sensors and Gaussian process regression (GPR) is presented for measuring the cross-sectional particle velocity distribution in a square-shaped pipe. Experimental tests show that the electrostatic sensor in conjunction with the GPR model is a feasible approach to obtain the cross-sectional velocity distribution of pneumatically conveyed particles in a square-shaped pipe.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Mechanical
Xiwang Cui, Yan Gao, Yifan Ma, Feng Liu, Haibin Wang
Summary: Water leaks are commonly detected using acoustic/vibration sensors. This paper presents a leak localization method based on time delay estimation (TDE) using cascaded least mean square (LMS) filters fused by correlation coefficient, combined with the propagation theory of leak signals. Numerical simulations and laboratory/field tests demonstrate the superior performance of the cascaded LMS filters compared to other methods.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Yonghui Hu, Junkai Wang, Yi Li, Yong Yan
Summary: This article presents a method for locating charged objects using an electrostatic sensor array. Numerical simulations show that the linear sensor array can accurately locate the charged object in areas far from the electrodes and the grounded surface.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Ge Guo, Yong Yan, Wenbiao Zhang, Yonghui Hu, Guimei Fu
Summary: The distribution of moisture in stored biomass fuels plays a crucial role in their self-heating and spontaneous combustion. This study proposes the use of electrical capacitance tomography (ECT) as a noninvasive imaging technique to measure the moisture distribution in stored wood pellets. Experimental results demonstrate the capability of ECT in accurately measuring the wet area, centroid position, and moisture content of the biomass fuels.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Weicheng Xu, Yong Yan, Gang Lu, Xiaojing Bai
Summary: This article introduces a method for quantifying flame stability through digital imaging and image processing, resulting in a flame stability index. The proposed method is more sensitive and requires a shorter data length compared to other methods, and it can effectively evaluate flame stability regardless of combustion conditions.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Xiaojuan Han, Wanying Cao, Xiwang Cui, Yan Gao, Feng Liu
Summary: This article presents a plastic pipeline leak localization method based on wavelet packet decomposition and higher order cumulants. Hydrophone sensors are used to capture the acoustic signals generated by water leakage in the plastic pipe. The most suitable wavelet packet basis function for leak signals is obtained through comparison of various wavelet packet basis functions. The higher order cumulant method is used to estimate the time delay between the sensor signals and locate the leak hole. The results show that the higher order cumulant method has higher leak localization accuracy compared to other methods.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Yonghui Hu, Yong Yan, Yuanqing Yang
Summary: This article presents a comprehensive comparative study of four types of preamplifiers used in electrostatic sensors and establishes an equivalent circuit model to quantify the interaction between charged objects and electrodes. The analysis reveals similarities in signal waveforms among different amplifiers under pulse excitation. The current sense and potential amplifiers are significantly affected by parasitic capacitances, requiring measures to reduce their effects.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Computer Science, Information Systems
Qing Zhang, Yong Yan, Yong Lin, Yan Li
Summary: This study proposes an image retrieval method based on deep learning, which achieves secure retrieval of ciphertext images through a deep artificial neural network model and an image encryption algorithm. Experimental results show significant improvements in retrieval efficiency and performance indicators, highlighting the importance of research on image information security retrieval.
Article
Engineering, Electrical & Electronic
Xiwang Cui, Yan Gao, Yifan Ma, Yuyou Liu, Boao Jin
Summary: This study presents a leak localization method for plastic pipes based on the variable step normalized least mean square adaptive filter, which improves the accuracy of leak localization through an adaptive iterative learning process.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Yonghui Hu, Yong Yan
Summary: This article introduces a novel wearable electrostatic sensor that can detect limb and torso movements. The sensor measures the potential difference for motion sensing and converts the induced charge into a voltage signal using a charge amplifier. Experimental assessment validates the sensor's capability to capture movements from any location, with signal depending on mounting location, activity type, and various factors.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
