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Comparison of the Performance of Accelerometer and Non-Contact Displacement Sensor in Fault Detection of Ball Bearing

Haghshenas, Saeed | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50600 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Behzad, Mahdi
  7. Abstract:
  8. The use of multiple sensors that produce different physical parameters of the measured system for its health monitoring raises the reliability of the diagnosis. At the moment, the fault detection capacities of ball bearings by means of proximity probe are detected by exploiting the advantages and reducing its defects by appropriate signal processing of the raw data in the time domain. Also, the application of numerical derivation and integration to achieve to the desired frequency spectrum in defect detection is investigated. A set of experiments with different sizes of internal ring, outer ring and ball defects, four levels of speed and two load levels have been performed. Data acquisition is simultaneously done by both accelerometer and displacement sensors. The defects of the bearing components, artificially and intentionally, have been created on them by the Spark method. The sensitivity of the vibrational parameters of the two sensor signals to the experimental factors was calculated and analyzed by statistical methods of exprimental data processing. It has been shown that for fault detection of ball bearing by the displacement sensor, it is better to check the spectrum of all three signal of displacement, speed and acceleration. The factors that each of the sensors are better monitored are identified. In both sensors, the velocity and cross effect of velocity and defect size of inner ring, have been first and second effective factors in the rms value of the signals, respectively. The defect size of ball, has the greatest effect on displacement and has the least effect on accelerometer
  9. Keywords:
  10. Signal Processing ; Rolling Bearing ; Diagnosis ; Piezoelectric Sensor ; Accelerometer ; Data Acquisition ; Eddy Current Displacement Sensor

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