Energy Research, Vol. 1, Issue 1, Dec  2017, Pages 47-59; DOI: 10.31058/j.er.2017.11005 10.31058/j.er.2017.11005

Noise Signal Analysis for Fault Detection

, Vol. 1, Issue 1, Dec  2017, Pages 47-59.

DOI: 10.31058/j.er.2017.11005

Yanjin Altankhuyag 1* , Wolfram Hardt 1

1 Professorship of Computer Engineering, Computer Science Faculty, Chemnitz University of Technology, Chemnitz, Germany

Received: 29 December 2017; Accepted: 9 January 2018; Published: 6 February 2018

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Abstract

The fault detection of electric machinery is important necessity for stability of system. The noise signal of rotating machinery is utilized for early fault diagnostic. A measured noise signal is divided down by short time duration parts. Fault carrying frequencies are extracted from digitalized signal. Envelope detector and demodulation were utilized for identifying fault frequencies with their harmonics and sidebands. Automated noise analysis is dedicated to detect and report a machinery abnormal condition. Implementation was conducted with noise signals which were obtained from electric motors, turbine generators and bearing fault motors.

Keywords

Noise Signal, Fault Detection, Mechanical Fault Detection, Signal Processing

Copyright

© 2017 by the authors. Licensee International Technology and Science Press Limited. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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