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, Mechanical
Alireza Keramat, Huan-Feng Duan
Summary: This study focuses on using transient waves and system responses to identify leaks in water supply pipelines, proposing a new method that can accurately locate leaks with a single spatial measurement, and comparing and improving upon traditional methods.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Computer Science, Information Systems
Tuoru Li, Senxiang Lu, Enjie Xu
Summary: The paper proposes a method to locate internal detectors in pipelines using vibration signals extracted by the VMD algorithm and classified by machine learning classifiers. This method shows high accuracy and adaptability in experimental research.
Article
Management
Victor Blanco, Miguel Martinez-Anton
Summary: In this paper, a mathematical optimization-based framework is proposed to determine the location of leak detection devices along a network. Two different models are analyzed, aiming to minimize the number of devices or maximize the coverage volume. Unlike other approaches, the models in this paper allow for flexible coverage by assuming devices are located in the whole space. Experimental results on real-world water supply pipeline networks support the validity of the proposed models.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2024)
Article
Engineering, Electrical & Electronic
Lei Yang, Qing Zhao
Summary: This paper proposes a deep learning-based method for pipeline leak detection and disturbance-assisted localization, which improves the accuracy of leak detection and localization by using pressure sequence classification and non-leak disturbance exploitation.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Lei Zhang, Weiguo Lin
Summary: This article introduces a trend detection method based on SISD and an adaptive trend removal method, which can effectively remove the trend component in the pressure signal in pipeline leak detection based on NPW, and improve the detection accuracy.
IEEE SENSORS JOURNAL
(2023)
Article
Acoustics
Huang Xinjing, Li Zan, Li Jian, Feng Hao, Zhang Yu, Chen Shili
Summary: The paper demonstrates the high sensitivity of inner spherical detectors in detecting tiny, continuous leaks through systematic acoustic sensing via finite element simulations and experiments. The closed air cavity of the SD may acoustically resonate and amplify the transmitted sound induced by leaks, allowing the SD to capture the leak signal while rolling forward in the pipeline. The resin SD has better sound permeability than the aluminum SD, resulting in higher sensitivity in leak detection.
Article
Engineering, Environmental
Fangli Ning, Zhanghong Cheng, Di Meng, Shuang Duan, Juan Wei
Summary: SE-CNN is a novel architecture that combines spectrum enhancement and convolutional neural network for gas pipeline leak detection, achieving high accuracy in leak diagnosis in a short time.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Chemistry, Analytical
Thang Bui Quy, Jong-Myon Kim
Summary: This paper introduces a technique for detecting leakages in a gas pipeline using a k-nearest neighbor classifier and hybrid features extracted from acoustic emission signals. The system is embedded in a microcontroller unit for real-time leak detection and performance improvement. Experimental results demonstrate high accuracy and real-time characteristics of the proposed system.
Article
Engineering, Multidisciplinary
Jaehyun Yang, Hamid Mostaghimi, Ron Hugo, Simon S. Park
Summary: This study introduces a comprehensive leak monitoring system that allows leak detection, localization, and volume rate estimation in liquid pipelines. The system uses artificial intelligence algorithms for leak detection and pressure sensors and accelerometers to capture real-time variations of fluid pressure and vibrations of the pipeline. Experimental results show high accuracy in leak detection, localization, and leak volume rate estimation.
Article
Engineering, Multidisciplinary
WeiLiang Wang, Yu Gao
Summary: This paper proposes a pipeline leak detection method based on acoustic-pressure (A-P) information fusion and a noise reduction algorithm based on dual Pearson thresholds-ensemble empirical mode decomposition (DP-EEMD). The method can accurately detect pipeline leaks in complex operating environments, and it achieves higher classification accuracy and better noise reduction effect compared to existing methods.
Article
Computer Science, Information Systems
Haneen Alhomyani, Mai Fadel, Nikos Dimitriou, Helen Bakhsh, Ghadah Aldabbagh, Samar Alkhuraiji
Summary: This paper discusses the applications of wireless sensor networks with linear topologies and the challenges of designing routing protocols to meet the specific requirements of such systems. It presents a LoRa multi-hop model for monitoring aboveground oil pipelines and evaluates its performance in various scenarios.
Article
Engineering, Multidisciplinary
Hongjin Liu, Hongyuan Fang, Xiang Yu, Fuming Wang, Xuan Yang, Shaohui Li
Summary: Leak location studies of water supply pipes are crucial for reducing water waste and eliminating potential hazards. In this paper, an adaptive time-delay estimation method (CEENDAN-CC) is proposed, which can extract feeble leakage signals and improve the accuracy and noise immunity of time-delay estimation.
Review
Engineering, Mechanical
Jie Yuan, Wenjing Mao, Chun Hu, Jianfeng Zheng, Dezhi Zheng, Yunbo Yang
Summary: Oil and gas pipelines are crucial for fuel transportation, but leakages in them can result in serious consequences. This study fills the gap by conducting a comprehensive analysis of leak detection and localization techniques in the scientific literature. It includes statistical analysis of publications, institutions, and research interests in this field, proposes a classification method for these techniques, summarizes relevant standards, and provides a flowchart for selecting detection methods. Additionally, the study discusses the merits, limitations, and performance of different methods, and suggests potential directions for further improvements.
ENGINEERING FAILURE ANALYSIS
(2023)
Article
Engineering, Electrical & Electronic
Thang Bui Quy, Jong-Myon Kim
Summary: This article proposes a novel technique for pipeline leak detection by combining a Kalman filter and an outlier removal technique to estimate the true state, achieving higher detection rates compared to existing methods. The proposed method can achieve real-time leak detection.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
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)