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

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.

[1]  Chr Angeli,et al.  An expert system approach to fault diagnosis in hydraulic systems , 1995 .

[2]  Paul M. Frank,et al.  Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results , 1990, Autom..

[3]  Raghunathan Rengaswamy,et al.  An Integrated Framework for Process Monitoring, Diagnosis, and Control using Knowledge-Based Systems and Neural Networks , 1992 .

[4]  Thomas J. Laffey,et al.  Real-Time Knowledge-Based Systems , 1988, AI Mag..

[5]  Rolf Isermann,et al.  Process fault detection based on modeling and estimation methods - A survey , 1984, Autom..

[6]  Paul M. Frank,et al.  Fault diagnosis in dynamic systems: theory and application , 1989 .

[7]  P. Frank.  Robust Model-Based Fault Detection in Dynamic Systems , 1992 .

[8]  Józef Korbicz,et al.  A Knowledge-Based System with Embedded Estimation Components for Fault Detection and Isolation in Process Plants , 1992 .

[9]  Cheng-Ching Yu,et al.  Fault diagnosis based on qualitative/quantitative process knowledge , 1991 .

[10]  Michèle Basseville,et al.  Detection of abrupt changes: theory and application , 1993 .

[11]  F. E. Finch,et al.  A robust event-oriented methodology for diagnosis of dynamic process systems , 1990 .

[12]  Robert M. Pap,et al.  Fault Diagnosis , 1990, Bayesian Networks in Fault Diagnosis.

[13]  J.J. Gertler,et al.  Survey of model-based failure detection and isolation in complex plants , 1988, IEEE Control Systems Magazine.

[14]  Wolfgang Nejdl,et al.  Integrating model-based and heuristic features in a real-time expert system , 1993, IEEE Expert.