The Research and Design of the Expert System of Air Compressor False Diagnosis

Guang Jian Chen; Jin Ling Jia

doi:10.4028/www.scientific.net/AMR.614-615.464

Paper Titles

3D Numerical Simulation and Analysis of Electrically Controlled Injection Device for Gaseous Fuel Engine
p.441

Low Pressure Shaft’s Bear Vibration Treatment for a Supercritical Turbine
p.446

Analysis and Research of Force and Motion of Screw-Type Extrusion Molding Biomass
p.452

Study on Reliability Test Method of Heavy Duty Vehicle Based on Proving Ground
p.460

The Research and Design of the Expert System of Air Compressor False Diagnosis
p.464

Oil Film Properties of Three Oil Wedge Sliding Bearing and its Effect to the Rotor Stability
p.469

Resistance Coefficient Research of the Train Air Supply Orifice
p.475

Simulation Analysis of Savonius Turbine with Self-Rotating Blades
p.480

Analysis of Drive Performance of Servo System for Servo Press
p.485

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 614-615The Research and Design of the Expert System of...

The Research and Design of the Expert System of Air Compressor False Diagnosis

Abstract:

By the research of expert system design method and rough set theory, an expert system of equipment fault diagnosis has been established. The paper focuses on the description of designs on knowledge database, inference engine and explanation facility of the expert system and taking the air compressor vibration fault diagnosis as an example to analyse and validate. It shows that expert system can improve the system’s performance, improve system’s capacity and efficiency of diagnosis when rough set theory is applied to fault diagnosis.

You might also be interested in these eBooks

Advances in Power and Electrical Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 614-615)

Pages:

464-468

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.614-615.464

Citation:

Cite this paper

Online since:

December 2012

Authors:

Guang Jian Chen, Jin Ling Jia

Keywords:

Equipment Fault Diagnosis, Expert System, Rough Set Theory (RST)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Li Jie, Shen Shituan, Chen Xing. Research and Implementation of Fault Diagnosis Expert System For Aerial Electronic Instruments. Computer Engineering. 2007,33 (14) :163-165(in Chinese)

Google Scholar

[2] Huang ZengLin. Intelligent Computing. Chongqing : Chongqing University Press. 2004 .12.

Google Scholar

[3] Liu Yimin, Gu Xingsheng. Reasoning research on uncertain knowledge bases on rough set in production scheduling. International Instrumentation & Automation. 2004 , (12):57-59(in Chinese)

Google Scholar