Nothing Special   »   [go: up one dir, main page]

Liu et al., 2024 - Google Patents

Research on a Charging Pile Fault Prediction Method Based on Improved C4. 5 Algorithm

Liu et al., 2024

Document ID
4752670347268962237
Author
Liu H
Xu Z
Sun Y
Wang L
Li H
Publication year
Publication venue
2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA)

External Links

Snippet

Big data mining technology is used to predict the faults of EV charging piles, which can effectively solve the current problem of difficult maintenance and management of charging piles. In this paper, the fault prediction of charging pile is carried out by constructing C4. 5 …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/54Management of operational aspects, e.g. planning, load or production forecast, maintenance, construction, extension
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705Clustering or classification
    • G06F17/3071Clustering or classification including class or cluster creation or modification
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/70Systems integrating technologies related to power network operation and communication or information technologies mediating in the improvement of the carbon footprint of electrical power generation, transmission or distribution, i.e. smart grids as enabling technology in the energy generation sector not used, see subgroups
    • Y02E60/72Systems characterised by the monitored, controlled or operated power network elements or equipments not used, see subgroups
    • Y02E60/723Systems characterised by the monitored, controlled or operated power network elements or equipments not used, see subgroups the elements or equipments being or involving electric power substations
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis

Similar Documents

Publication Publication Date Title
CN113156917B (en) Power grid equipment fault diagnosis method and system based on artificial intelligence
CN109492857A (en) A kind of distribution network failure risk class prediction technique and device
CN106779215B (en) Machine learning-based power grid global delay situation sensing method
CN108920609A (en) Electric power experiment data mining method based on multi-dimensional analysis
CN113283602A (en) Power grid system fault diagnosis method based on offline knowledge learning and online dynamic correction
CN115146739A (en) Power transformer fault diagnosis method based on stacked time series network
Ma et al. Holistic performance evaluation framework: power distribution network health index
Yao et al. A new condition-monitoring method based on multi-variable correlation learning network for wind turbine fault detection
Mei et al. A data‐driven approach to state assessment of the converter valve based on oversampling and Shapley additive explanations
Wang et al. LSTM-based alarm prediction in the mobile communication network
Liu et al. Research on a Charging Pile Fault Prediction Method Based on Improved C4. 5 Algorithm
Lu et al. Time series power anomaly detection based on Light Gradient Boosting Machine
Jingyu et al. Statistical analysis of distribution network fault information based on multi-source heterogeneous data mining
CN114118759A (en) Distribution transformer area load overload state assessment method and device
Zhang et al. [Retracted] Substation Operation Information Maintenance Based on Intelligent Data Mining
Lu et al. Anomaly Recognition Method for Massive Data of Power Internet of Things Based on Bayesian Belief Network
Bai et al. Abnormal Detection Scheme of Substation Equipment based on Intelligent Fusion Terminal
Wang et al. Power Transformer Fault Prediction Based on Knowledge Graphs
Zhu et al. A transformer condition assessment framework based on data mining
Mao et al. An early warning method of distribution system fault risk based on data mining
Kang et al. Health analysis method of batch smart electricity meter based on K-nearest neighbor algorithm
Li et al. Research of Extreme Gradient Enhancement in Fault Prediction of Smart Distribution Networks
Liu et al. Self-Organized Criticality Identification of Power System Based on SC-GCN Network
Ye et al. Iterative Online Fault Identification Scheme for High Voltage Circuit Breaker
Liu et al. Optimization Design of Transmission Line Planning Model Based on Big Data Algorithm