A NEURAL-NETWORK APPROACH FOR IDENTIFICATION AND FAULT-DIAGNOSIS ON DYNAMIC-SYSTEMS

被引：56

作者：

BERNIERI, A

DAPUZZO, M

SANSONE, L

SAVASTANO, M

机构：

[1] UNIV SALERNO,DIPARTIMENTO INGN INFORMAZ INGN ELETTR,I-84081 FISCIANO,ITALY

[2] UNIV NAPOLI FEDERICO II,DIPARTIMENTO INFORMAT & SISTEMIST,I-80125 NAPLES,ITALY

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 1994年 / 43卷 / 06期

关键词：

D O I：

10.1109/19.368083

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The possibilities offered by neural networks for system identification and fault diagnosis problems in dynamic systems are investigated. In particular, an original ''neural'' procedure is illustrated: its sensitivity and response time enable it to be used in on-line fault diagnosis applications. Some examples are also reported. Even though they pertain to a simple linear dynamic system, these examples highlight the general applicability and advantages of a neural approach.

引用

页码：867 / 873

页数：7

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