Fault prediction and compensation functions in a diagnostic knowledge-based system for hydraulic systems

被引：14

作者：

Angeli, C ^{[1
]}

Chatzinikolaou, A

机构：

[1] Tech Inst Piraeus, Egaleo 12244, Greece

[2] Automat Syst SA, Athens, Greece

来源：

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS | 1999年 / 25卷 / 02期

关键词：

on-line expert systems; model-based diagnosis; fault prediction; fault compensation; hydraulic systems;

D O I：

10.1023/A:1008077902102

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fault prediction and fault compensation are beneficial for the production technology and give a new dimension to fault diagnosis in technical systems. The overall goal of this paper is the presentation of fault prediction and fault compensation procedures as they are studied, implemented and embedded in a real time expert system. This expert system detects and diagnoses faults in hydraulic systems. For this purpose dynamic modelling information, on-line sensor information, special features of the domain of hydraulic systems and expert systems technology are used co-operatively.

引用

页码：153 / 165

页数：13

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