EXPERT SYSTEM FOR SIGNATURE ANALYSIS.

被引：0
|
作者：
Krishnabrahmam, V. [1 ]
Iyypengar, K.R.S. [1 ]
Kalyani, K. [1 ]
机构：
[1] Naval Science & Technological, Lab, Visakhapatnam, India, Naval Science & Technological Lab, Visakhapatnam, India
来源：
Defence Science Journal | 1987年 / 37卷 / 04期
关键词：
ARTIFICIAL INTELLIGENCE - Expert Systems - MACHINE TOOLS - Vibration - SPECTRUM ANALYSIS;
D O I：
10.14429/dsj.37.5937
中图分类号：
学科分类号：
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 a second time. It also gives the degree of confidence to which the classification is made to the operator.
引用
收藏
页码：495 / 505
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