[go: up one dir, main page]

Altaf et al., 2019 - Google Patents

Advancement of fault diagnosis and detection process in industrial machine environment

Altaf et al., 2019

View PDF
Document ID
1208225907669073750
Author
Altaf S
Mehmood M
Soomro M
Publication year

External Links

Snippet

Machine fault diagnosis is a very important topic in industrial systems and deserves further consideration in view of the growing complexity and performance requirements of modern machinery. Currently, manufacturing companies and researchers are making a great attempt …
Continue reading at essuir.sumdu.edu.ua (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
    • G01R31/34Testing 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
    • G01R31/02Testing 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
    • G01R31/346Testing of armature or field windings
    • 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
    • G01R31/027Testing of transformers
    • 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

Similar Documents

Publication Publication Date Title
Liang et al. Induction motors fault diagnosis using finite element method: A review
Salah et al. A review of the monitoring and damping unbalanced magnetic pull in induction machines due to rotor eccentricity
Benbouzid A review of induction motors signature analysis as a medium for faults detection
Siddiqui et al. Health monitoring and fault diagnosis in induction motor-a review
Henao et al. Trends in fault diagnosis for electrical machines: A review of diagnostic techniques
Gyftakis et al. Comparative experimental investigation of broken bar fault detectability in induction motors
Negrea Electromagnetic flux monitoring for detecting faults in electrical machines
Bindu et al. Diagnoses of internal faults of three phase squirrel cage induction motor—A review
Drif et al. Airgap-eccentricity fault diagnosis, in three-phase induction motors, by the complex apparent power signature analysis
Mehrjou et al. Rotor fault condition monitoring techniques for squirrel-cage induction machine—A review
Han et al. Condition monitoring techniques for electrical equipment-a literature survey
Bhowmik et al. Fault diagnostic and monitoring methods of induction motor: a review
Dias et al. Spectral analysis using a Hall effect sensor for diagnosing broken bars in large induction motors
Thomson et al. Online current monitoring for fault diagnosis in inverter fed induction motors
Muller et al. A novel method to detect broken rotor bars in squirrel cage induction motors when interbar currents are present
Liang Temperature estimation and vibration monitoring for induction motors and the potential application in electrical submersible motors
Mehala et al. Condition monitoring methods, failure identification and analysis for Induction machines
Lamim Filho et al. Axial stray flux sensor proposal for three-phase induction motor fault monitoring by means of orbital analysis
Bonet-Jara et al. Comprehensive analysis of principal slot harmonics as reliable indicators for early detection of interturn faults in induction motors of deep-well submersible pumps
Antonino-Daviu et al. Case stories of induction motors fault diagnosis based on current analysis
Faiz et al. A review of application of signal processing techniques for fault diagnosis of induction motors–Part I
Pietrzak et al. Stator phase current STFT analysis for the PMSM stator winding fault diagnosis
Altaf et al. Advancement of fault diagnosis and detection process in industrial machine environment
Sarma et al. Condition monitoring of rotating electrical machines
Bhattacharyya et al. Induction motor fault diagnosis by motor current signature analysis and neural network techniques