Fault Prediction and Compensation Functions in a Diagnostic Knowledge-Based System for Hydraulic Systems

Authors:
Chr. Angeli;A. Chatzinikolaou
Affiliations:
Technological Institute of Piraeus, Greece/ e-mail: angeli@compulink.gr;Automation systems S.A., Athens, Greece/ e-mail: chatzi@compulink.gr
Venue:
Journal of Intelligent and Robotic Systems
Year:
1999

Citing 5
Cited 2

Real-time knowledge-based systems

AI Magazine
Fault diagnosis in dynamic systems: theory and application

Fault diagnosis in dynamic systems: theory and application
Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results

Automatica (Journal of IFAC)
Detection of abrupt changes: theory and application

Detection of abrupt changes: theory and application
Integrating Model-Based and Heuristic Features in a Real-Time Expert System

IEEE Expert: Intelligent Systems and Their Applications

Design and implementation of a generic nonconformance tracking and recovery (GINTR) system

Computers in Industry
On the dynamic evidential reasoning algorithm for fault prediction

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.