Indonesian Journal of Electrical Engineering and Computer Science
Vol 10, No 8: December 2012

Study on Knowledge -based Intelligent Fault Diagnosis of Hydraulic System

Xuexia Liu (Zhongyuan University of Technology)



Article Info

Publish Date
01 Dec 2012

Abstract

A general framework of hydraulic fault diagnosis system was studied. It consisted of equipment knowledge bases, real-time databases, fusion reasoning module, knowledge acquisition module and so on. A tree-structure model of fault knowledge was established. Fault nodes knowledge was encapsulated by object-oriented technique. Complete knowledge bases were made including fault bases and diagnosis bases. It could describe the fault positions, the structure of fault, cause-symptom relationships, diagnosis principles and other knowledge. Taking the fault of left and right lifting oil cylinder out of sync for example, the diagnostic results show that the methods were effective. DOI: http://dx.doi.org/10.11591/telkomnika.v10i8.1637

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