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Developing a power monitoring and protection system for the junction boxes of an experimental seafloorobservatory network

Jun WANG,De-jun LI,Can-jun YANG,Zhi-feng ZHANG,Bo JIN,Yan-hu CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1034-1045 doi: 10.1631/FITEE.1500099

Abstract: system based on an embedded processor was designed for the junction boxes (JBs) of an experimental seafloorobservatory network in China.

Keywords： Power monitoring and protection     Embedded processor     Seafloor observatory network     IEEE 1588     Junction    

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Development of Marine Equipment for Underwater Stereoscopic Observation

Ma Rui, Zhao Xiutao, Liu Cungen

Strategic Study of CAE 2020, Volume 22, Issue 6,   Pages 19-25 doi: 10.15302/J-SSCAE-2020.06.003

Abstract:

Establishing an underwater stereoscopic observation network to obtain

Keywords： ocean observation     sea floor observatory network     underwater vehicle     underwater sensor    

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Progress and Prospect of Seafloor Instability Research

Gao Weijian, Li Wei

Strategic Study of CAE 2023, Volume 25, Issue 3,   Pages 109-121 doi: 10.15302/J-SSCAE-2023.03.010

Abstract:

Seafloor instability and secondary submarine geohazards are widely presentHowever, formation mechanisms and controlling factors of seafloor instability are still poorly understoodTo improve the understanding, based on the history and development of seafloor instability, thisfactors, and engineering geohazards risks, and summarizes popular quantitative analysis methods for seafloorseabed instability, this study proposed the development direction and countermeasures of future seafloor

Keywords： seafloor instability     submarine geohazards     formation mechanisms     risk assessment     instability analysis    

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Research Progress of Marine Scientific Equipment and Development Recommendations in China

Song Xiancang, Du Junfeng, Wang Shuqing, Li Huajun

Strategic Study of CAE 2020, Volume 22, Issue 6,   Pages 76-83 doi: 10.15302/J-SSCAE-2020.06.010

Abstract: platforms, namely air–sea interface observation platform, mobile underwater observation platform, and seafloorobservation network system, in the countries that are believed to lead the field, and the developmentsuch as the marine remote-sensing satellites, marine research ships, deep-diving submersibles, and seafloor

Keywords： equipment     deep-sea observation platform     air–sea interface observation     mobile underwater observation     seafloorobservation network     equipment development    

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Use of a coded voltage signal for cable switching and fault isolation in cabled seafloor observatories None

Zhi-feng ZHANG, Yan-hu CHEN, De-jun LI, Bo JIN, Can-jun YANG, Jun WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1328-1339 doi: 10.1631/FITEE.1601843

Abstract:

Cabled seafloor observatories play an important role in ocean exploration for its long-term, real-timeIn establishing a permanent, reliable, and robust seafloor observatory, a highly reliable cable switchingadvantages and disadvantages of existing switching methods, we propose a novel active switching method for network

Keywords： Cabled seafloor observatories     Cable switching and fault isolation     Coded voltage signal     Maximum bit frequency    

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The Deep Carbon Observatory: A Ten-Year Quest to Study Carbon in Earth

Craig M. Schiffries, Andrea Johnson Mangum, Jennifer L. Mays, Michelle Hoon-Starr, Robert M. Hazen

Engineering 2019, Volume 5, Issue 3,   Pages 372-378 doi: 10.1016/j.eng.2019.03.004

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide applicationdimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural networkWe apply our framework to some network models and a real system of the whole neuron map of CaenorhabditisResult shows that a simple linear mapping relationship exists between network structure and network behaviorin the neural network with high-dimensional and nonlinear characteristics.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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A stepless-power-reconfigurable converter for a constant current underwater observatory Research Article

Yujia Zang, Yanhu Chen, Canjun Yang, Haoyu Zhang, Zhiyong Duan, Gul Muhammad,yanhuchen@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12,   Pages 1551-1684 doi: 10.1631/FITEE.2100259

Abstract: The conversion from constant current (CC) to constant voltage (CV) is one of the key technologies of CC systems. A with high stability and high reliability is usually used. Applications, however, are limited by high heat dissipation and low efficiency. In this paper, with an improved shunt regulation method, a novel concept of stepless power reconfiguration (SPR) for the CC/CV module is proposed. In cases with stable or slowly changing load, two modes of CC/CV conversion are proposed to reduce unnecessary power loss of the while being able to retain any operator-preset power margin in the system: (1) the manual SPR (MSPR) method based on single-loop control method; (2) the automatic SPR (ASPR) method based on inner-outer loop control method. The efficiency of the system is analyzed. How to select some key parameters of the system is discussed. Experimental results show that MSPR and ASPR are both effective and practical methods to reduce heat dissipation and improve the efficiency of the CC/CV module, while the high stability of the remains.

Keywords： 恒流/恒压转换；并联稳压器；无级功率重构；水下观测网    

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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: This article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 4,   Pages 484-502 doi: 10.1007/s11705-012-1221-5

Abstract: This review presents the main works related to each network.

Keywords： process system engineering     integration methods     heat exchange network     mass exchange network     work exchangenetwork    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepconvolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings.The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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Identifying spreading influence nodes for social networks

Frontiers of Engineering Management   Pages 520-549 doi: 10.1007/s42524-022-0190-8

Abstract: The identification of spreading influence nodes in social networks, which studies how to detect important individuals in human society, has attracted increasing attention from physical and computer science, social science and economics communities. The identification algorithms of spreading influence nodes can be used to evaluate the spreading influence, describe the node’s position, and identify interaction centralities. This review summarizes the recent progress about the identification algorithms of spreading influence nodes from the viewpoint of social networks, emphasizing the contributions from physical perspectives and approaches, including the microstructure-based algorithms, community structure-based algorithms, macrostructure-based algorithms, and machine learning-based algorithms. We introduce diffusion models and performance evaluation metrics, and outline future challenges of the identification of spreading influence nodes.

Keywords： complex network     network science     spreading influence     machine learning    

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Information Network—— Frontier of Information Engineering Science

Zhong Yixin

Strategic Study of CAE 1999, Volume 1, Issue 1,   Pages 24-29

Abstract:

Information Network has been grown up and spread out to the entire globe extremely swiftly in recent

An attempt is made in the paper to establish a new discipline, the information network engineering, based on the above phenomenon.First, the concept of information network is re-defined clearly hereand then the working mechanism of information network is analyzed in depth.As a result of the analyses above, a list of the important issues and directions in information network

Keywords： information network     intelligent productive tools     network age     information network engineering    

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Diffusion of municipal wastewater treatment technologies in China: a collaboration network perspective

Yang Li, Lei Shi, Yi Qian, Jie Tang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 1, doi: 10.1007/s11783-017-0903-0

Abstract: Real wastewater treatment technology diffusion process was investigated. The research is based on a dataset of 3136 municipal WWTPs and 4634 organizations. A new metric was proposed to measure the importance of a project in diffusion. Important projects usually involve central organizations in collaboration. Organizations become more central by participating in less important projects. The diffusion of municipal wastewater treatment technology is vital for urban environment in developing countries. China has built more than 3000 municipal wastewater treatment plants in the past three decades, which is a good chance to understand how technologies diffused in reality. We used a data-driven approach to explore the relationship between the diffusion of wastewater treatment technologies and collaborations between organizations. A database of 3136 municipal wastewater treatment plants and 4634 collaborating organizations was built and transformed into networks for analysis. We have found that: 1) the diffusion networks are assortative, and the patterns of diffusion vary across technologies; while the collaboration networks are fragmented, and have an assortativity around zero since the 2000s. 2) Important projects in technology diffusion usually involve central organizations in collaboration networks, but organizations become more central in collaboration by doing circumstantial projects in diffusion. 3) The importance of projects in diffusion can be predicted with a Random Forest model at a good accuracy and precision level. Our findings provide a quantitative understanding of the technology diffusion processes, which could be used for water-relevant policy-making and business decisions.

Keywords： Innovation diffusion     Collaboration network     Wastewater treatment plant     Complex network     Data driven    

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Title Author Date Type Operation

Developing a power monitoring and protection system for the junction boxes of an experimental seafloorobservatory network

Jun WANG,De-jun LI,Can-jun YANG,Zhi-feng ZHANG,Bo JIN,Yan-hu CHEN

Journal Article

Development of Marine Equipment for Underwater Stereoscopic Observation

Ma Rui, Zhao Xiutao, Liu Cungen

Journal Article

Progress and Prospect of Seafloor Instability Research

Gao Weijian, Li Wei

Journal Article

Research Progress of Marine Scientific Equipment and Development Recommendations in China

Song Xiancang, Du Junfeng, Wang Shuqing, Li Huajun

Journal Article

Use of a coded voltage signal for cable switching and fault isolation in cabled seafloor observatories

Zhi-feng ZHANG, Yan-hu CHEN, De-jun LI, Bo JIN, Can-jun YANG, Jun WANG

Journal Article

The Deep Carbon Observatory: A Ten-Year Quest to Study Carbon in Earth

Craig M. Schiffries, Andrea Johnson Mangum, Jennifer L. Mays, Michelle Hoon-Starr, Robert M. Hazen

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

A stepless-power-reconfigurable converter for a constant current underwater observatory

Yujia Zang, Yanhu Chen, Canjun Yang, Haoyu Zhang, Zhiyong Duan, Gul Muhammad,yanhuchen@zju.edu.cn

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Identifying spreading influence nodes for social networks

Journal Article

Information Network—— Frontier of Information Engineering Science

Zhong Yixin

Journal Article

Diffusion of municipal wastewater treatment technologies in China: a collaboration network perspective

Yang Li, Lei Shi, Yi Qian, Jie Tang

Journal Article