Downloads: 147 | Views: 333 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2
Dissertation Chapters | Mechanical Engineering | India | Volume 4 Issue 5, May 2015 | Popularity: 7.3 / 10
Vibration Analysis of Ball Bearing
Ravindra A.Tarle, Nilesh K.Kharate, Shyam P. Mogal
Abstract: In today-s scenario, maintenance of any machinery is very important in view of downtime of machinery. The bearing sector is one of the examples without which not single rotating machinery work. Products of bearing sector are of high value which leads to the aspects of bearing life & application in more demanding situations. This project addresses Design, Experimentation and Validation analysis of fault diagnosis of ball bearing related to rotor system. Detail analysis using FFT Methodology is done to find out the possible faults and finally validate with MATLAB software. Numbers of faults are identified and this will be validated for each fault. Faults are identified on single rotor system test rig. Experimental Evaluation & validation of faults are done to confirm results and finally effective solution is implemented to completely indicate faults of bearing which are being reported during validation process. In addition to this we have done lubrication analysis by using FFT analyzer for bearing with lack of lubrication and bearing with lubrication.
Keywords: vibration, bearing fault, FFT, Hilbert-Huang Transform, Intrinsic Mode functions, empirical mode decomposition
Edition: Volume 4 Issue 5, May 2015
Pages: 2655 - 2665
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 131 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Mechanical Engineering, India, Volume 3 Issue 11, November 2014
Pages: 842 - 851Fault Diagnosis and Automatic Classification of Roller Bearings Using Time-Domain Features and Artificial Neural Network
Stalin S. S
Downloads: 137 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Mechanical Engineering, India, Volume 6 Issue 3, March 2017
Pages: 1033 - 1040A Simple Continuous Wavelet Transform Method for Detection of Rolling Element Bearing Faults and its Comparison with Envelope Detection
Sunil Tyagi, SK Panigrahi