文章基本信息

标题：Expert System for Signature Analysis
本地全文：下载
作者：V. Krishnabrahmam ; K.R.S. Iyyengar ; K. Kalyani 等
期刊名称：Defence Science Journal
印刷版ISSN：0976-464X
出版年度：2014
卷号：37
期号：4
页码：495-505
DOI：10.14429/dsj.37.5937
语种：English
出版社：Defence Scientific Information & Documentation Centre
摘要：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.
关键词：Structureborne;Machinery