ANN-based nonlinear time series models in fault detection and prediction

被引：0

作者：

Tang, TH ^{[1
]}

Xiong, M ^{[1
]}

Liu, YJ ^{[1
]}

Li, JR ^{[1
]}

机构：

[1] Shanghai Maritime Univ, Merchant Marine Coll, Shanghai 200135, Peoples R China

来源：

CONTROL APPLICATIONS IN MARINE SYSTEMS (CAMS'98) | 1999年

关键词：

nonlinear time series; neural networks; parameter identification; adaptive prediction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper nonlinear time series models based on neural networks are introduced to forecast faults. A feedforward neural network prediction method with single sample adaptive learning algorithm and a recurrent neural network prediction method with adaptive learning algorithm are presented to implement system modeling, parameter correcting and trend forecasting on line. Copyright (C) 1998 IFAC.

引用

页码：297 / 302

页数：6

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