Article
Engineering, Multidisciplinary
Boxiang Liu, Zhu Jiang, Wei Nie, Yijian Ran, Hao Lin
Summary: An adaptive denoising method based on VMD (ADM-VMD) and an adaptive inflection point extraction method based on VMD (IPEM-VMD) were proposed in the study. Experimental results showed that ADM-VMD can effectively remove noise and obtain a clear pressure drop curve, while IPEM-VMD can obtain a unique and clear maximum peak with good robustness to small noise.
Article
Engineering, Multidisciplinary
Yang Han, Xin Feng, Michael D. Todd
Summary: This study proposes a novel method to quantitatively identify the leakage location and negative pressure wave (NPW) velocity in the pipeline based on a fluid dynamics model. Experimental results demonstrate that the method can accurately identify the location and severity of leakage without prior knowledge of NPW velocity, providing a promising technique for pipeline integrity management.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Feng Li, Laibin Zhang, Shaohua Dong, Hang Zhang, Wenhe Wang, Yun You
Summary: This paper proposed a novel noise-pressure interaction model based on multi-information fusion processing, which can effectively filter interference signals and improve the accuracy and reliability of leakage detection.
Article
Automation & Control Systems
Mengxuan Ling, Xihui Bian, Shuaishuai Wang, Tao Huang, Peng Liu, Shuyu Wang, Xiaoyao Tan
Summary: Local mean decomposition (LMD) is a new signal analysis tool that can decompose a spectrum into a set of single-component signals with different frequencies. However, LMD may produce endpoint effect and uneven noise may occur in the measurement process of near-infrared (NIR) spectra. Therefore, a piecewise mirror extension local mean decomposition (PME-LMD) method is proposed for denoising NIR spectrum with uneven noise.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Engineering, Civil
Juan Li, Ying Wu, Wenjun Zheng, Changgang Lu
Summary: This paper proposes a model-based Bayesian analysis method to simultaneously determine the number and location of leaks, overcoming the limitations of existing research methods in leak location capabilities.
WATER RESOURCES MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Boxiang Liu, Zhu Jiang, Wei Nie
Summary: This study explores the advantages of applying VMD in NPW technology and proposes an adaptive denoising method (AD-VMD) and a novel inflection point extraction method based on VMD (IPE-VMD). The simulation and experimental results validate the accuracy and stability of these methods for leak location.
JOURNAL OF SENSORS
(2021)
Article
Engineering, Electrical & Electronic
Zhongxiang Liu, Minghui Wei, Dandan Zhao, Mingze Xu, Wei Cai, Jia Zhang, Zhuoran Meng
Summary: A pipeline defect localization method based on INS and SGF is proposed in this paper, with deduced equations for clock localization of pipeline defects. An error compensation method of INS based on SGF is also introduced. The effectiveness of the method is verified through simulations and experiments.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Mechanical
Xun Wang, Mohamed S. Ghidaoui, Jing Lin
Summary: The study proposes a leak localization method that can accurately predict the location of a leak and provide additional information about uncertainty by introducing confidence intervals and empirical distributions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Multidisciplinary
Seyed Amir Hoseini Sabzevari, Seyed Morteza Javadpour
Summary: A new approach based on low sampling rate sensors is proposed to estimate artificial leakage location in pressurized gas-filled pipelines. The proposed technique requires low sampling rate data and uses acoustic sensors localized on one side of the leakage. This paper introduces a novel technique to localize artificial leakage by implementing two simple electret microphones and attenuation analysis. Experimental results demonstrate the effectiveness of the proposed technique in low sampling rate data.
INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING
(2023)
Article
Engineering, Environmental
Xinqi Zhang, Jihao Shi, Ming Yang, Xinyan Huang, Asif Sohail Usmani, Guoming Chen, Jianmin Fu, Jiawei Huang, Junjie Li
Summary: This study proposes a leakage detection and localization approach by integrating attention mechanism with LSTM network. A labor-scale pipeline leakage experiment is conducted to construct the benchmark dataset and a comparison between the proposed approach and the state-of-the-art methods is performed. The results demonstrate higher accuracy with AUC = 0.99.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Chemistry, Analytical
Yanbin Mo, Lvqing Bi
Summary: In this paper, a novel time reversal-based localization method for pipeline leakage is proposed. The method improves the leak localization resolution through TR self-adaptive cancellation. Experimental results show that the proposed approach accurately reveals the leak positions and has a resolution ten times higher than the conventional method.
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
Acoustics
Tamas Benedek, Janos Vad
Summary: This study presents the application of the TBL-TE noise component of the BPM model in investigating the noise characteristics of an axial flow fan. The results confirm the applicability of the BPM model to circular-arc cambered plate blades, covering a wide range of geometrical and aerodynamic parameters.
Article
Environmental Sciences
Mengfei Zhou, Yinze Xu, Baihui Cui, Yinchao Hu, Tian Guo, Yijun Cai, Xiaofang Sun
Summary: Pipeline transportation is widely used and effective detection and localization technology for pipeline leakage is crucial. This paper proposes a novel method to obtain a reliable pipeline-mechanism model by fusing data and mechanism models based on Bayesian theory. The proposed method improves the accuracy and reliability of the mechanism model and accurately locates the leakage.
Article
Engineering, Mechanical
Boxiang Liu, Zhu Jiang, Wei Nie
Summary: The study introduced an adaptive noise reduction method based on VMD, which gradually achieved denoising, extraction of effective signals, and reconstruction to enhance the accuracy of leak location.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Environmental
Xingxing Hu, Lingjie Liu, Yanmeng Bi, Lu Li, Chunsheng Qiu, Jingjie Yu, Shaopo Wang
Summary: In this study, the impact of exogenous folate on the start-up process of single-stage partial nitritation-anammox (SPNA) was evaluated using two lab-scale reactors. The results showed that folate addition can enhance nitrogen removal rate, extracellular polymeric substances production, hydrazine oxidase and dehydrogenase activity, as well as the relative abundance of Candidatus Brocadia.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Shaocang He, Tingting Shen, Jing Sun, Haoqi Pan, Chenxu Sun, Tianpeng Li, Runyao Li, Enshan Zhang
Summary: A novel process of acid leaching neutralization was developed for the preparation of inorganic polymeric composite ferric aluminum silicate coagulant (CFAS) using solid waste coal gasification coarse slag (CGCS). The optimized preparation process was determined through single-factor experiment and the performance of CFAS was evaluated for domestic sewage treatment. The results showed that CFAS exhibited excellent coagulation ability and achieved significant removal efficiency for turbidity, ammonia nitrogen, and chemical oxygen demand.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Kinga Szatmari, Sandor Nemeth, Alex Kummer
Summary: In this article, a resilience-based reinforcement learning approach is proposed to address the potential thermal runaway issue in batch reactors. By calculating the resilience metric for reactors and utilizing Deep Q-learning to decide when to intervene in the system, resilient-based mitigation systems can be effectively developed.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Bingyou Jiang, Qi Yao, Mingqing Su, Jingjing Li, Kunlun Lu, Dawei Ding, Han Hong
Summary: This study investigates the inhibitory characteristics and mechanisms of ABC powder on coal powder explosion. The addition of ABC powder significantly decreases the maximum explosion pressure and can completely suppress coal dust explosions. The study also reveals the thermal decomposition characteristics and reaction kinetics of the mixed system.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Kubilay Bayramoglu, Mustafa Nuran
Summary: This study examines the feasibility of using pyrolytic oil from waste tires as fuel in diesel engines, and evaluates its energy, exergy, and sustainability. The results indicate that pyrolytic oil has potential as a renewable fuel source with relatively high thermal efficiency.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Xinru Duan, Yejia Lv, Jiaxing Hong, Jianzhong Wu, Jia Zhang, Yang Yue, Guangren Qian
Summary: This study successfully prepared a tube reactor with optimized catalyst formula, which showed good performance in removing dioxins and other pollutants in the experiments.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Jiaoyang Du, Xueming Dang, Xiaorong Gan, Xin Cui, Huimin Zhao
Summary: In this study, a photocatalyst-enzyme hybrid system was constructed, which solved the issue of enzyme inactivation caused by high concentration of H2O2 through photocatalytic in-situ H2O2 production, and improved the stability and catalytic efficiency of the enzyme. The effectiveness of the system in treating phenolic EDCs was confirmed through experiments.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Fu-Rong Xiu, Longsheng Zhan, Yingying Qi, Xinyue Lei, Jiali Wang, Haipeng Zhou, Wenting Shao
Summary: This study developed a synergetic and high-efficiency treatment of waste tantalum capacitors (WTCs) and polyvinyl chloride (PVC) using subcritical water process. The treatment significantly reduced the temperature and reaction time for metal tantalum recovery from WTCs, and improved the dechlorination efficiency of PVC. The optimized conditions resulted in 100% resin conversion efficiency of WTCs and 97.39% dechlorination efficiency of PVC. The interaction between decomposition products of WTCs and PVC produced a high level of benzoic acid.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Bingda Li, Jiaming Song, Yuting Li, Chaoying Meng, Shuxian Wang, Linghao Zong, Honggang Ye, Yishuai Jing, Feng Teng, Peng Hu, Haibo Fan, Guangde Chen, Xin Zhao
Summary: CdPS3 nanosheets, especially those exfoliated by sodium cholate, have shown highly efficient photocatalytic degradation performance. The strong dark adsorption and dye-sensitized photocatalytic properties of CdPS3 nanosheets contribute to high degradation efficiencies of various pollutants.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)
Article
Engineering, Environmental
Dongxu Ouyang, Yimei Pang, Bo Liu, Zhirong Wang
Summary: This study investigates the thermal runaway features of lithium-ion cells under tunnel conditions, considering different states of charge and tunnel ceilings. The results show that the tunnel visibility is affected by the smoke generated during thermal runaway, and the shape of the tunnel ceiling influences the temperature rise differently.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2024)