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

Gholap et al., 2019 - Google Patents

Vibration signature analysis of two stage gearbox using Kurtosis, Skewness and Crest factor

Gholap et al., 2019

View PDF
Document ID
989911322377085144
Author
Gholap A
Jaybhaye M
Publication year

External Links

Snippet

In recent years, innovations and methodologies have been developed in mechanical equipment, mainly in rotating equipment, to increase the reliability of fault finding. World wide vibration indexes such as RMS, Kurtosis, etc. are widely accepted in industry and are …
Continue reading at gnanaganga.inflibnet.ac.in:8080 (PDF) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M13/00Testing of machine parts
    • G01M13/02Testing of gearing or of transmission mechanisms
    • G01M13/021Testing of gearing or of transmission mechanisms of gearings
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M13/00Testing of machine parts
    • G01M13/04Testing of bearings
    • G01M13/045Testing of bearings by acoustic or vibration analysis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating 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
    • G01N29/44Processing the detected response signal, e.g. electronic circuits specially adapted therefor
    • G01N29/46Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • G01H1/003Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress

Similar Documents

Publication Publication Date Title
Dhamande et al. Compound gear-bearing fault feature extraction using statistical features based on time-frequency method
de Azevedo et al. A review of wind turbine bearing condition monitoring: State of the art and challenges
Wang et al. Support vector data description for fusion of multiple health indicators for enhancing gearbox fault diagnosis and prognosis
Zuber et al. Gearbox faults identification using vibration signal analysis and artificial intelligence methods
Goyal et al. Intelligent predictive maintenance of dynamic systems using condition monitoring and signal processing techniques—a review
Dhamande et al. Detection of combined gear-bearing fault in single stage spur gear box using artificial neural network
Kirankumar et al. Review on Condition Monitoring of Bearings using vibration analysis techniques.
Kumar et al. Vibration based fault diagnosis techniques for rotating mechanical components
Ulus et al. An experimental study on gear diagnosis by using acoustic emission technique
Alshammari et al. Fault diagnosis of helical gear through various vibration techniques in automotive gearbox
Slimane et al. An interactive method for predicting industrial equipment defects
Yang et al. Detecting changes in gear surface roughness using vibration signals
Wegerich Similarity‐based modeling of vibration features for fault detection and identification
Pradhan et al. Fault detection using vibration signal analysis of rolling element bearing in time domain using an innovative time scalar indicator
Gholap et al. Vibration signature analysis of two stage gearbox using Kurtosis, Skewness and Crest factor
Jamadar et al. Spur Gear Fault Detection Using Design of Experiments and Support Vector Machine (SVM) Algorithm
Bhende et al. Comprehensive bearing condition monitoring algorithm for incipient fault detection using acoustic emission
Li et al. On-line fault detection in wind turbine transmission system using adaptive filter and robust statistical features
Kumar et al. Vibration signal analysis using time and timefrequency domain
Chavan et al. A review on development and trend of condition monitoring and fault diagnosis
Ghodake et al. A review on fault diagnosis of gear-box by using vibration analysis method
Samuel et al. Survey of Gear Fault Diagnosis Using Various Statistical Signals Parameters
Gangwar et al. Machine learning based progressive crack fault monitoring on spur gear using vibration analysis
Gałęzia Averaged signal measures of TKEO energy waveform in detection of tooth break in gearbox
Manghai et al. Feature-based vibration monitoring of a hydraulic brake system using machine learning