Improved performance of Fluid Power System using Updating Knowledge-Based System

Abstract

Fluid power system plays major roles in modern industry. In much heavy industrial equipment and machine (stationary and Mobil), power transfer is mainly provided by a fluid power system. Reliable operation of hydraulic system can only be ensured through proper design, effective maintenance and continuous monitoring. The rapid growth in the development and application of Information technology and artificial intelligence technology hold great potential for enabling the distributed and intelligent fault diagnosis. A knowledge based expert system will employ situation-action rules (production rules) to diagnose a failure and subsequently identify specific component or units which caused the failure. Diagnosing problems with fluid power system usually requires personnel with extensive experience or education.. Diagnosis of problems with recommendations from a computerized assistant would be highly useful. The present work develop and implement an export system (Hdro- diagnosis) for this paper describes the development and implementation of Hydro-Diagnosis, an expert system for diagnosis of Hydraulic circuit and for recommendation of corrective action.