Kadhim et al., 2018 - Google Patents
Wind Turbine Bearing Diagnostics Based on Vibration MonitoringKadhim et al., 2018
View PDF- Document ID
- 17958801195765852137
- Author
- Kadhim H
- Mahmood F
- Resen A
- Publication year
- Publication venue
- Journal of Physics: Conference Series
External Links
Snippet
Reliability maintenance can be considered as an accurate condition monitoring system which increasing beneficial and decreasing the cost production of wind energy. Supporting low friction of wind turbine rotating shaft is the main task of rolling element bearing and it is …
- 238000007374 clinical diagnostic method 0 title description 6
Classifications
-
- 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
- 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
-
- 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
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/46—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
- G01M15/00—Testing of engines
- G01M15/04—Testing of internal-combustion engines, e.g. diagnostic testing of piston engines
- G01M15/12—Testing of internal-combustion engines, e.g. diagnostic testing of piston engines by monitoring vibrations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
- G01M7/00—Vibration-testing of structures; Shock-testing of structures
- G01M7/02—Vibration-testing by means of a shake table
- G01M7/025—Measuring arrangements
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Wang et al. | Current-aided order tracking of vibration signals for bearing fault diagnosis of direct-drive wind turbines | |
de Azevedo et al. | A review of wind turbine bearing condition monitoring: State of the art and challenges | |
Nirwan et al. | Condition monitoring and fault detection in roller bearing used in rolling mill by acoustic emission and vibration analysis | |
Saruhan et al. | Vibration analysis of rolling element bearings defects | |
Pradhan et al. | Fault detection using vibration signal analysis of rolling element bearing in time domain using an innovative time scalar indicator | |
Yang et al. | A case study of bearing condition monitoring using SPM | |
Shrivastava et al. | Vibration signature analysis for ball bearing of three phase induction motor | |
Iorgulescu et al. | Vibration and current monitoring for fault’s diagnosis of induction motors | |
Gałęzia et al. | Possibilities of faults detection of rolling bearings using energetic descriptors of vibrations signals | |
Kadhim et al. | Wind Turbine Bearing Diagnostics Based on Vibration Monitoring | |
Cahyono et al. | Vibration spectrum analysis for indicating damage on turbine and steam generator Amurang Unit 1 | |
Aye | Statistical approach for tapered bearing fault detection using different methods | |
Roque et al. | An approach to fault diagnosis of rolling bearings | |
Rodríguez-Rodríguez et al. | Motor bearing failures detection by using vibration data | |
Ebrahimi | Vibration Analysis for Fault Diagnosis of Rolling Element Bearing | |
Bagde et al. | Innovative methods of modeling gear Faults | |
Bujoreanu et al. | Study on the defects size of ball bearings elements using vibration analysis | |
Tabasi et al. | Vibration analysis as useful domain for detection of bearing fault signals in induction motors | |
Kawada et al. | Visualization of contact vibration generated on turbine model using fast Haar wavelet transform | |
Kawada et al. | Discrimination of vibration phenomena on model turbine rotor using in-place fast Haar wavelet transform | |
Fidali et al. | Evaluation of the Diagnostic Sensitivity of Digital Vibration Sensors Based on Capacitive MEMS Accelerometers | |
Rathna Prasad et al. | Diagnostics of fatigue crack in the shaft using spectral kurtosis | |
Tabasi et al. | Analyzing vibration as a useful domain for getting bearing fault signals in induction motors | |
Mitra et al. | Vibration signal analysis of induction motors used in process control operation | |
Nadar et al. | Condition Monitoring of Rolling Element Bearing by Acoustic Analysis Using LabVIEW |