[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Khusnutdinova et al., 2020 - Google Patents

Designing the Fault-Detection and Troubleshooting Tests For the Troubleshooting Target Flowchart

Khusnutdinova et al., 2020

View PDF
Document ID
5585310677272660285
Author
Khusnutdinova E
Filina O
Khusnutdinov A
Yashagina A
Osetinskiy G
Andreev N
Publication year
Publication venue
IOP Conference Series: Materials Science and Engineering

External Links

Snippet

This paper covers the matter of troubleshooting in urban electric transport and electrical equipment. The solution to this issue requires transferring the qualitative determination of the health of the equipment to some quantitative basis. The formalization of qualitative …
Continue reading at iopscience.iop.org (PDF) (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
    • G01R31/02Testing 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
    • G01R31/34Testing 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
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/088Aspects of digital computing
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
    • G01N27/72Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating magnetic variables

Similar Documents

Publication Publication Date Title
Chow et al. A neural network approach to real-time condition monitoring of induction motors
Yazidi et al. A web-based remote laboratory for monitoring and diagnosis of ac electrical machines
CN1280639C (en) Diagnostics for piezoelectric sensor
CN102735261B (en) Based on the infrared earth sensor fault diagnosability defining method of correlation models
Cheng et al. Optimal sensor placement for multifault detection and isolation in lithium-ion battery pack
Abbas et al. Single line to ground fault detection and location in medium voltage distribution system network based on neural network
Sidhu et al. An abductive inference technique for fault diagnosis in electrical power transmission networks
Khusnutdinova et al. Designing the Fault-Detection and Troubleshooting Tests For the Troubleshooting Target Flowchart
CN107656518A (en) A kind of system failure inference method
Mu et al. An online intelligent alarm-processing system based on abductive reasoning network
Ju et al. Indices for automated identification of questionable generator models using synchrophasors
Kerezsi et al. Vibration fault detection of large turbogenerators using neural networks
Ramirez et al. Monitoring voltage collapse margin with synchrophasors across transmission corridors with multiple lines and multiple contingencies
Sabitov et al. Methods of Optimizing the Troubleshooting Parameters of Electric Power Facilities
CN109212373A (en) The grounding fault diagnosis and insulation detecting method and device of power supply system of train
Zhang et al. A methodology for optimum sensor localization/selection in fault diagnosis
Naji et al. ANN-based Fault Location in 11 kV Power Distribution Line using MATLAB
Crusca et al. Fault detection and identification of power systems
Doorsamy et al. Optimisation of shaft voltage based condition monitoring in generators using a Bayesian approach
Silva et al. Characterization of failures in insulators to maintenance in transmission lines
Antonino-Daviu et al. Diagnosis of the rotor condition in electric motors operating in mining facilities through the analysis of motor currents
Sharma et al. Advanced Deep Learning Approaches for Fault Detection and Localization in Power Distribution Systems
Alanzi et al. Synchrophasors-based master state awareness estimator for cybersecurity in distribution grid: Testbed implementation & field demonstration
Kumar Three phase transmission lines fault detection, classification and location
Chen et al. Time Domain Distribution System Fault Location based on Dynamic State Estimation