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

Li et al., 2016 - Google Patents

A generic waveform abnormality detection method for utility equipment condition monitoring

Li et al., 2016

Document ID
1814100371358224559
Author
Li B
Jing Y
Xu W
Publication year
Publication venue
IEEE Transactions on Power Delivery

External Links

Snippet

In recent years, power quality (PQ) disturbance data are increasingly applied to extract useful information about the condition of power systems, such as monitoring incipient equipment failures. A prerequisite for such applications is the ability for a PQ monitor to …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing dielectric strength or breakdown voltage; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/1227Testing dielectric strength or breakdown voltage; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
    • G01R31/1263Testing dielectric strength or breakdown voltage; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
    • G01R31/1272Testing dielectric strength or breakdown voltage; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/02Testing of electric apparatus, lines or components, for short-circuits, discontinuities, leakage of current, or incorrect line connection
    • G01R31/024Arrangements for indicating continuity or short-circuits in electric apparatus or lines, leakage or ground faults
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/088Aspects of digital computing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/25Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques
    • G01R19/2513Arrangements for monitoring electric power systems, e.g. power lines or loads; Logging
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/327Testing of circuit interrupters, switches or circuit-breakers
    • G01R31/3271Testing of circuit interrupters, switches or circuit-breakers of high voltage or medium voltage devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/34Testing dynamo-electric machines
    • G01R31/343Testing dynamo-electric machines in operation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/28Testing of electronic circuits, e.g. by signal tracer
    • G01R31/2832Specific tests of electronic circuits not provided for elsewhere
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R23/00Arrangements for measuring frequencies; Arrangements for analysing frequency spectra

Similar Documents

Publication Publication Date Title
Li et al. A generic waveform abnormality detection method for utility equipment condition monitoring
Wei et al. High impedance arc fault detection based on the harmonic randomness and waveform distortion in the distribution system
Santos et al. High-impedance fault identification on distribution networks
Bíscaro et al. Integrated fault location and power-quality analysis in electric power distribution systems
Gu et al. High impedance fault detection in overhead distribution feeders using a DSP-based feeder terminal unit
Wang et al. A new method with Hilbert transform and slip-SVD-based noise-suppression algorithm for noisy power quality monitoring
Wei et al. Fault detection based on the generalized S-transform with a variable factor for resonant grounding distribution networks
Luo et al. Waveform abnormality detection method for distribution system equipment condition monitoring
Adly et al. A novel wavelet packet transform based fault identification procedures in HV transmission line based on current signals
Faisal et al. Prediction of incipient faults in underground power cables utilizing S-transform and support vector regression
Arias-Guzman et al. Segmentation and characterization of voltage sags in the analysis of industrial circuits
EP4005047B1 (en) Anomaly detection in energy systems
Jiang et al. A sequential Bayesian approach to online power quality anomaly segmentation
Hong et al. Short-time fourier transform based analysis to characterization of series arc fault
Shaik et al. A wavelet based protection scheme for distribution networks with Distributed Generation
Ali et al. High impedance fault detection and identification based on pattern recognition of phase displacement computation
Moreira et al. Interharmonic detection and identification based on higher-order statistics
Zhang et al. The arcing fault based multi-cycle incipient fault detection for underground cable
Zeng et al. High impedance fault detection in distribution network based on S-transform and average singular entropy
Xiuyong et al. Faulty feeder identification method in resonant grounding distribution network
Jimenez et al. Steady state signatures in the time domain for nonintrusive appliance identification
Brasil et al. Detection of High Impedance Faults in Primary Distribution Grid using Support Vector Machines Classification
Zhang et al. Single‐phase‐to‐ground fault feeder identification based on the feature between voltage and integration of current
Bindumol High impedance fault detection and control methods in ac microgrids: a review
Santos et al. An S-transform based approach for fault detection and classification in power distribution systems