Paper Title:
Design and Implementation of a System on FPGA for Fault Detection on Industrial Machines through Vibration Sensing
  Abstract

This paper presents the design and implementation of a system for detecting the microscopic faults and defects present in the electrical machinery using the vibration analysis. Vibration analysis based on mechanical bearing frequencies in industrial machines is currently used to detect the presence of a fault condition. Since these mechanical vibrations are associated with variations in the physical disturbances of the machine, the air gap flux density is modulated and peak amplitudes are generated at predictable frequencies related to the electrical supply and vibration frequencies. Spartan3E FPGA was used in this process to reduce the time of detection and to increase the accuracy in displaying the fault position. Induction motor HS-1 by High Speed Motors is taken as the device under test to perform the vibration analysis and draw the results. The device SI-100 by Syscon Instruments is the sensor used to extract the analog information of interest from the motor during the implementation. In addition all this phenomena is also tested using LabVIEW2009 and NI-ELVIS to check the accuracy of the results.

  Info
Periodical
Chapter
Chapter 24: Semiconductor Materials Manufacturing
Edited by
Wu Fan
Pages
5351-5357
DOI
10.4028/www.scientific.net/AMM.110-116.5351
Citation
P. K. Kannoju, Krishnaveni, "Design and Implementation of a System on FPGA for Fault Detection on Industrial Machines through Vibration Sensing", Applied Mechanics and Materials, Vols. 110-116, pp. 5351-5357, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Adam Kotowski
Abstract:The paper presents the use of the autocorrelation function for the description of vibrations and the problems connected with. The proposed...
606
Authors: Qian Hao, Li Xin Gao, Xu Wang, Hui Ye
Abstract:Fault vibration signals of gear box are faint shock and are hardly extracted, which bring a big difficulty for diagnosis. This paper mainly...
198
Authors: Fu Ze Xu, Xue Jun Li, Guang Bin Wang, Da Lian Yang
Chapter 8: Fault Diagnosis and Signal Processing
Abstract:It is common for the imbalance-crack coupling fault in rotating machinery, while the crack information is often overshadowed by unbalanced...
675
Authors: Dong Peng Yue, Yang Liu
Chapter 10: Sound, Noise and Vibration Control
Abstract:A power system on hybrid electric vehicle (HEV) was chosen for research. On the basis of analysis of characteristic parameters of motor on...
3869
Authors: Sheng Hang Wang, Kuang I Chang, Jyun Long Chen, Mu Yu Tsai, Bor Nian Chuang
Chapter 4: Sensors, Measurement, Monitoring and Detection
Abstract:Radar sensors like ultra-wideband Doppler radar sensors may be utilized as a vibration sensing device in a restricted area for railroad...
714