[go: up one dir, main page]

Thorsen et al., 1997 - Google Patents

Condition monitoring methods, failure identification and analysis for high voltage motors in petrochemical industry

Thorsen et al., 1997

Document ID
14163321259421890073
Author
Thorsen O
Dalva M
Publication year
Publication venue
Eighth International Conference on Electrical Machines and Drives

External Links

Snippet

The study gives a synopsis over condition monitoring methods both as a diagnostic tool and as a technique for failure identification in high voltage induction motors in the petrochemical industry. New running experience data for 356 units are registered and processed …
Continue reading at digital-library.theiet.org (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/34—Testing dynamo-electric machines
    • G01R31/343—Testing dynamo-electric machines in operation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12—Testing 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
    • G01R31/1227—Testing 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
    • G01N27/72—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating magnetic variables
    • G01N27/82—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
    • G01N27/90—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws using eddy currents
    • G01N27/9006—Details
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G01M13/04—Testing of bearings
    • G01M13/045—Testing of bearings by acoustic or vibration analysis
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • G01H1/003—Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/34—Testing dynamo-electric machines
    • G01R31/346—Testing of armature or field windings
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G01M13/02—Testing of gearing or of transmission mechanisms

Similar Documents

Publication Publication Date Title
Thorsen et al. Condition monitoring methods, failure identification and analysis for high voltage motors in petrochemical industry
Thorsen et al. Failure identification and analysis for high-voltage induction motors in the petrochemical industry
US6460013B1 (en) Shaft voltage current monitoring system for early warning and problem detection
US7034706B1 (en) Early warning and problem detection in rotating machinery by monitoring shaft voltage and/or grounding current
Frosini et al. Stator current and motor efficiency as indicators for different types of bearing faults in induction motors
Lee et al. Identification of false rotor fault indications produced by online MCSA for medium-voltage induction machines
Thorsen et al. Methods of condition monitoring and fault diagnosis for induction motors
Fenger et al. Development of a tool to detect faults in induction motors via current signature analysis
KR100608235B1 (en) Real-time life prediction, fault detection method and device of induction motor
Lamim Filho et al. Axial stray flux sensor proposal for three-phase induction motor fault monitoring by means of orbital analysis
Thomson et al. Industrial application of current signature analysis to diagnose faults in 3-phase squirrel cage induction motors
Sarma et al. Condition monitoring of rotating electrical machines
Thorsen et al. Failure identification and analysis for high voltage induction motors in petrochemical industry
Thomson et al. Failure identification of offshore induction motor systems using on-condition monitoring
Ong et al. Shaft current in AC induction machine. An online monitoring system and prediction rules
DEKHANDJI et al. Predictive Maintenance Applied to Three phase Induction Motors
Hamer Acceptance testing of electric motors and generators
Suechoey et al. Performance analysis and fault classification in a large electric motor using vibration assessment technique
Hurtado et al. A review on detection and fault diagnosis in induction machines
Misra et al. An experimental study of rotor fault detection using motor current signature analysis based on neural networks
Hurtado et al. A review on location, detection and fault diagnosis in induction machines.
Çalış Vibration and motor current analysis of induction motors to diagnose mechanical faults
Haq et al. Understanding alternative methods of machine online condition monitoring; An investigation based on years of experience and field case studies
Thomson et al. On-line diagnostics of large induction motors
Haq et al. Alternative Methods of Machine Online Condition Monitoring: Recommendations for Rotating Machines in the Petroleum and Chemical Industry