Expert System for Signature Analysis

  • V. Krishnabrahmam Naval Science & Technological Laboratory, Visakhapatnam
  • K.R.S. Iyyengar Naval Science & Technological Laboratory, Visakhapatnam
  • K. Kalyani Naval Science & Technological Laboratory, Visakhapatnam
Keywords: Structureborne, Machinery

Abstract

Vibrating Machinery Noise, - airborne, structureborne or waterborne - has a signature characteristic of the combination of machinery, its mounting, load coupling, and the structure. FFT and RTA are standard techniques for obtaining power spectral density(PSD) of the noise from the source. In this paper a technique of extraction of features from the PSD, and classification of the sources is presented. An expert system is reported which classifies if the same source has appeared second time. It also gives the degree of confidence to which the classification is made to the operator.

Author Biographies

V. Krishnabrahmam, Naval Science & Technological Laboratory, Visakhapatnam
Naval Science & Technological Laboratory, Visakhapatnam-530 006
K.R.S. Iyyengar, Naval Science & Technological Laboratory, Visakhapatnam
Naval Science & Technological Laboratory, Visakhapatnam-530 006
K. Kalyani, Naval Science & Technological Laboratory, Visakhapatnam
Naval Science & Technological Laboratory, Visakhapatnam-530 006
Published
2014-01-14
How to Cite
KrishnabrahmamV., IyyengarK., & KalyaniK. (2014). Expert System for Signature Analysis. Defence Science Journal, 37(4), 495-505. https://doi.org/10.14429/dsj.37.5937
Section
Special Issue Papers