A fuzzy neural network approach to machine condition monitoring

被引：59

作者：

Javadpour, R ^{[1
]}

Knapp, GM ^{[1
]}

机构：

[1] Louisiana State Univ, Dept Ind & Mfg Syst Engn, Baton Rouge, LA 70803 USA

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2003年 / 45卷 / 02期

关键词：

predictive maintenance; neural networks; fuzzy ARTMAP; vibration analysis;

D O I：

10.1016/S0360-8352(03)00039-1

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper is focused on the implementation of a predictive neural network for use as an operator's aid in the diagnosis of faults with high prediction accuracy in an automated manufacturing environment In order to evaluate the performance of the model, the network has been tested using both simulated time series and real time machine vibration data collected in lab experiments. (C) 2003 Elsevier Science Ltd. All rights reserved.

引用

页码：323 / 330

页数：8

共 12 条

[1]

Alban L.E., 1985, Systematic analysis of gear failures

[2] AN INTEGRATED NEURAL-NETWORK EXPERT-SYSTEM APPROACH FOR FAULT-DIAGNOSIS [J].

BECRAFT, WR ;

LEE, PL .

COMPUTERS & CHEMICAL ENGINEERING, 1993, 17 (10) :1001-1014

[3] HYBRID NEURAL NETS CAN BE FUZZY CONTROLLERS AND FUZZY EXPERT-SYSTEMS [J].

BUCKLEY, JJ ;

HAYASHI, Y .

FUZZY SETS AND SYSTEMS, 1993, 60 (02) :135-142

[4]

CARPENTER KE, 1992, HARVARD LIBR BULL, V3, P5

[5]

GROSSBERG S, 1988, NEURAL NETWORKS NATU

[6]

HE ZY, 1992, IEEE INTERNATIONAL CONFERENCE ON SYSTEMS ENGINEERING, P576

[7] MACHINE FAULT CLASSIFICATION - A NEURAL NETWORK APPROACH [J].

KNAPP, GM ;

WANG, HP .

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1992, 30 (04) :811-823

[8]

Knapp GM, 2000, J QUALITY MAINTENANC, V6, P86

[9] NEURAL-NETWORK-BASED FAULT-DIAGNOSIS OF HYDRAULIC FORGING PRESSES IN CHINA [J].

LIN, H ;

YIH, Y ;

SALVENDY, G .

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1995, 33 (07) :1939-1951

[10] FUZZY MULTILAYER PERCEPTRON, INFERENCING AND RULE GENERATION [J].

MITRA, S ;

PAL, SK .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1995, 6 (01) :51-63

← 1 2 →