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A Fault Diagnosis Method Considering Meteorological Factors for Transmission Networks Based on P Systems

Xiaotian Chen, Tao Wang, Ruixuan Ying, Zhibo Cao
2021 Entropy  
To address the issue, this paper proposes a fault diagnosis method for transmission networks considering meteorological factors.  ...  Secondly, based on the topology structure of the target power transmission network and the action logic of its protection devices, a diagnosis model based on the spiking neural P system considering the  ...  Fault Diagnosis Method of Transmission Networks Considering Meteorological Factors This section proposes a fault diagnosis method for transmission networks based on mleSNPSs considering meteorological  ... 
doi:10.3390/e23081008 fatcat:lumwzztv3jcfbgqdecm5nhngou

Research on Fault Diagnosis of Launch Vehicle's Power Transformation and Transmission System Based on Big Data

Yichi Zhang, Tao Shu, Xincheng Song, Yan Xu, Pengxiang Zhang, Jie Chen
2021 Mathematical Problems in Engineering  
In this paper, a new method of equipment fault diagnosis based on big data is proposed.  ...  Therefore, the fault diagnosis method of power transmission and transformation system based on big data can both effectively obtain the inherent laws of historical data and realize more accurate fault  ...  A fault diagnosis method of power transmission and transformation system based on big data is proposed. e improved LSTM-Kmeans algorithm based on silhouette coefficient (SC) is used for fault classification  ... 
doi:10.1155/2021/3108000 fatcat:5hldc6q4qfej7bjayxxotm2hqm

Transmission Line Galloping Prediction Based on Numerical Weather Prediction Results

Li Shuai
2018 Journal Electrical and Electronic Engineering  
, the statistical revision of the forecast field of meteorological elements around the transmission line is established, and based on this, the prediction model of transmission line dance can greatly improve  ...  Through the fine regional numerical prediction system and dynamic reduction scale technology, the hourly meteorological factor forecast of 1 km resolution in Henan Province in the next 3 days is predicted  ...  , using the P-Division method, fault histogram peak-valley method, the actual fault event of the power grid and the meteorological characteristics of the threshold value selection method.  ... 
doi:10.11648/j.jeee.20180605.13 fatcat:cnit4rjosbefbggp2crjuapvmy

An Intelligent Fault Detection Method of a Photovoltaic Module Array Using Wireless Sensor Networks

Kuei-Hsiang Chao, Pi-Yun Chen, Meng-Hui Wang, Chao-Ting Chen
2014 International Journal of Distributed Sensor Networks  
This study developed a fault diagnosis meter based on a ZigBee wireless sensor network (WSN) for photovoltaic power generation systems.  ...  The experimental results showed that the proposed portable fault diagnosis meter based on the extension neural network for the photovoltaic power generation system possessed a high level of accuracy in  ...  system's fault diagnosis meter based on an extension neural network.  ... 
doi:10.1155/2014/540147 fatcat:efoe4uticvaifohlscng4eohyi

Semantic-Based Sports Music Information Fusion and Retrieval in Wireless Sensor Networks

Qiaolin Yu, Xiaofei Liu, Sihui Li, Lei Hou, Chengdong Zhu, Ying Lin, Mu Zhou
2021 Journal of Sensors  
The experimental results of this paper show that when using these methods to diagnose faults in WSN, the correct rate of model diagnosis is higher than 77%.  ...  Therefore, they are designing sensor network solutions. It is necessary to consider the network security issues.  ...  Acknowledgments This study was supported by the Liaoning Provincial Social Science Youth Project "Study on the Improvement of Students' Physical Fitness from the Perspective of Smart Sports" (No.  ... 
doi:10.1155/2021/4853183 fatcat:7oe5a6dycbacdfrwgixnzc67eu

Transmission Line Fault-Cause Identification Based on Hierarchical Multiview Feature Selection

Shengchao Jian, Xiangang Peng, Haoliang Yuan, Chun Sing Lai, Loi Lei Lai
2021 Applied Sciences  
Fault-cause identification plays a significant role in transmission line maintenance and fault disposal.  ...  ., micrometeorology and geographic information, multiview learning can be used to realize the information fusion for better fault-cause identification.  ...  The authors of [29] propose a fault diagnosis approach for the main drive chain in a wind turbine based on data fusion.  ... 
doi:10.3390/app11177804 fatcat:zscbicnuvfhnpfhbhwrroik5bu

Industrial Big Data and Computational Sustainability: Multi-Method Comparison Driven by High-Dimensional Data for Improving Reliability and Sustainability of Complex Systems

Chunting Liu, Guozhu Jia
2019 Sustainability  
This paper presents a fault diagnosis and prediction framework for complex systems based on multi-dimensional data and multi-method comparison, aimed at improving the reliability and sustainability of  ...  Based on the literature research on typical fault modes and fault diagnosis requirements of avionics systems, three popular high-dimensional data-driven fault diagnosis methods—support vector machine,  ...  In this paper, a fault diagnosis and prediction framework for complex systems based on multi-dimensional data and multi-method comparison is proposed.  ... 
doi:10.3390/su11174557 fatcat:jveidb4vejf4xo42ks43lkk57e

2021 Index IEEE Transactions on Transportation Electrification Vol. 7

2021 IEEE Transactions on Transportation Electrification  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Gronwald, P., +, TTE Dec. 2021 2892-2913 Gradient methods A Fractional Steepest Ascent Morlet Wavelet Transform-Based Transient Fault Diagnosis Method for Traction Drive Control System.  ...  ., +, TTE June 2021 883-891 P Pantographs Analysis and Correction of a Pantograph Location Method Based on Current Information of Traction Network.  ... 
doi:10.1109/tte.2021.3138230 fatcat:z3avb2jp5vfr7bmzsphtgtuz4m

Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems

Jiazheng Lu, Jun Guo, Zhou Jian, Yihao Yang, Wenhu Tang
2018 Energies  
This method considers the spatial–temporal impact of ice disasters on the resilience of power transmission systems, and the contingence set for risk assessment is established according to contingency probabilities  ...  Based on meteorological data, the outage models of power transmission components are developed in the form of generic fragility curves, and the ice load is given by a simplified freezing rain ice model  ...  Unlike the existing risk assessment method, the proposed method evaluates the impact of ice storm on power transmission systems using publicly available meteorological data.  ... 
doi:10.3390/en11092272 fatcat:4lokriy3fvh2pkc6f6annkjk54

Multi-source data processing and fusion method for power distribution internet of things based on edge intelligence [article]

Quande Yuan, Yuzhen Pi, Lei Kou, Fangfang Zhang, Yang Li, Zhenming Zhang
2022 arXiv   pre-print
By introducing the Box-Cox transform to improve the data offset problem in the Zscore normalization process, a multi-source heterogeneous data processing method for distribution networks based on the Box-Cox  ...  Finally, the effectiveness of the proposed method is verified by an experimental analysis of an IEEE39 node system in a regional distribution network in China.  ...  Moreover, the multi-source information synthesis under the effective fusion method is obviously superior to the traditional method which only considers a single or a few factors.  ... 
arXiv:2203.17230v1 fatcat:fwrb46t775anvnh76b7wssvixe

Fault-Tolerant Mechanism for Wireless Sensor Network

Hitesh Mohapatra, Amiya Kumar Rath
2019 IET Wireless Sensor Systems  
In addition to these new algorithms, they also propose a unique taxonomy on fault which is based on sensitivity issues of specific applications.  ...  The study aims to understand the various types of faults occur in a wireless sensor network (WSN).  ...  Fault taxonomy In this section, we propose a unique taxonomy by considering sensitivity as a factor in association with the sensor-based applications.  ... 
doi:10.1049/iet-wss.2019.0106 fatcat:253ifoaqvbeazmyrxwqnbf7f4y

Marine Systems and Equipment Prognostics and Health Management: A Systematic Review from Health Condition Monitoring to Maintenance Strategy

Peng Zhang, Zeyu Gao, Lele Cao, Fangyang Dong, Yongjiu Zou, Kai Wang, Yuewen Zhang, Peiting Sun
2022 Machines  
PHM generally consists of four technical processes, namely health condition motoring (HCM), fault diagnosis (FD), health prognosis (HP), and maintenance decision (MD).  ...  Finally, the challenges of implementing PHM for intelligent ships are put forward.  ...  Ince et al. proposed a motor fault diagnosis system based on 1D CNN as shown in Figure 7 , which fused the feature extraction and classification in the traditional fault detection methods into a single  ... 
doi:10.3390/machines10020072 fatcat:pokctikzhndyjbgfrh233btegy

Smart Distribution Network Situation Awareness for High-Quality Operation and Maintenance: A Brief Review

Leijiao Ge, Yuanliang Li, Yuanliang Li, Jun Yan, Yonghui Sun
2022 Energies  
In order to meet the requirements of high-tech enterprises for high power quality, high-quality operation and maintenance (O&M) in smart distribution networks (SDN) is becoming increasingly important.  ...  In this paper, the state-of-the-art knowledge of SND SA is discussed, a review of critical technologies is presented, and a five-layer visualization framework of the SDN SA is constructed.  ...  Based on NN, Zhao et al. [123] combined fault and defect diagnosis results with big data statistical regulation to construct a comprehensive EV battery system fault diagnosis.  ... 
doi:10.3390/en15030828 fatcat:7goknojd4rcixgwlieq22zziie

An early warning system for spatiotemporal prediction of fault events in a power transmission system

CHENHAO SUN, Xin Wang, Yihui Zheng, SHAOYI CHEN, YISHI YUE
2019 IET Generation, Transmission & Distribution  
To this end, this study proposes an early warning system based on the exploration of cause-attribute relationships.  ...  Predictions of the spatiotemporal distribution of fault events help the management planning and the maintenance scheduling in power transmission systems.  ...  The methodology in [1] analyses risks through a fuzzy logic system. A diagnose model based on fuzzy factors along with hierarchical rule base is proposed in [40] .  ... 
doi:10.1049/iet-gtd.2018.6389 fatcat:7oqryd5ehfd4jbdujfxb237syy

Research on Rapid Source Term Estimation in Nuclear Accident Emergency Decision for Pressurized Water Reactor Based on Bayesian Network

Guohua Wu, Jiejuan Tong, Liguo Zhang, Diping Yuan, Yiqing Xiao
2021 Nuclear Engineering and Technology  
Firstly, this paper studies how to build a Bayesian network model for the NPP based on professional knowledge and engineering knowledge.  ...  This paper presents a method transforming the PRA model (event trees and fault trees) into a corresponding Bayesian network model.  ...  Firstly, this paper studies how to build a Bayesian network model for the NPP based on professional knowledge.  ... 
doi:10.1016/j.net.2021.02.028 fatcat:ncqpdvvdnzagppr2d36q44hb7y
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