RELSHELL: An Expert System Shell for Fault Diagnosis

Traditional expert systems for fault diagnosis have a bottleneck in knowledge acquisition, and have limitations in knowledge representation and reasoning. A new expert system shell for fault diagnosis is presented in this paper to develop multiple knowledge models (object model, rules, neural network, case-base and diagnose models) hierarchically based on multiple knowledge. The structure of the expert system shell and the knowledge representation of multiple models are described. Diagnostic algorithms are presented for automatic modeling and hierarchical reasoning. It will be shown that the expert system shell is very effective in building diagnostic expert systems.

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Application Research of the Pro/3 Inference Information Report and Transformer Fault Diagnosis Based on Forward Reasoning

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.962-965.2852 ◽

2014 ◽

Vol 962-965 ◽

pp. 2852-2855

Author(s):

Qi Ming Cui ◽

Shao Gang Hu ◽

Nuo Di Wang ◽

Shu Ting Cui ◽

Zu Yuan Guan ◽

...

Keyword(s):

Fault Diagnosis ◽

Expert System ◽

Gas Analysis ◽

Practical Significance ◽

Dissolved Gas ◽

Forward Reasoning ◽

Rule Model ◽

Expert System Shell ◽

Paper Work ◽

Transformer Fault

The paper work had improved some inference information report show functions of the expert system shell Pro/3 by using graph in combination with text . By analyzing some forward reasoning application mechanisms of the Pro/3, this work had also created a transformer fault diagnosis knowledge base rule model based on dissolved gas analysis in transformers such that using the rules of sentence in model had implemented an expert system of transformer fault diagnosis. The basic application shows the effectiveness of the system.The modeling approach created by the Pro/3 can be also applied to some diagnosis or analysis of other equipments. Exploring the Pro/3 has certain practical significance for establishing some expert systems or assistance decision support systems.

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A Fault Diagnosis Expert System for Commercial Bus Manufacturing process

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.17.16624 ◽

2018 ◽

Vol 7 (3.17) ◽

pp. 64

Author(s):

Chee Nian ◽

Tan . ◽

Chee Fai ◽

Tan .

Keyword(s):

Fault Diagnosis ◽

Expert System ◽

Design Process ◽

Public Transportation ◽

Manufacturing Process ◽

Research Work ◽

Training Module ◽

Expert System Shell ◽

Fault Diagnosis System

Bus manufacturing is one of the important assets in automotive industries as well as mode of public transportation. The design process is difficult and long throughout time. Moreover, there are many manuals, rules and regulation according to different standard which make the standardization and design process to be difficult and time consuming. Hence, this project describes the use of an expert system shell for commercial bus design. In bus manufacturing field, design of commercial bus is heavily depending on human experts. With the help of expert system, process of design commercial bus will be shortened up to 56.5% compared to conventional way. The developed system can be used as a training module for inexperienced personnel. In this research work, the fault diagnosis system was developed by using Kappa-PC expert system shell. It is supported by object orientated technology for the MS window environment. Lastly, the developed system will be validated with a case study to verify the capability of the developed system.

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A FAULT DIAGNOSIS EXPERT SYSTEM FOR WATER COOLED PACKED UNIT

Jurnal Teknologi ◽

10.11113/jt.v80.10879 ◽

2017 ◽

Vol 80 (1) ◽

Author(s):

Chee Nian Tan ◽

Chee Fai Tan ◽

Mohd Azman Abdullah

Keyword(s):

Fault Diagnosis ◽

Expert System ◽

Air Conditioning ◽

Indoor Temperature ◽

Expert System Shell ◽

Air Handling Unit ◽

Maximum Comfort

Air conditioning plays an important role in giving maximum comfort working and leisure environment to the occupant as well as to reduce the indoor temperature. This project describes the use of an expert system shell for air conditioning air handling unit. For air handling unit, the services and maintenances of machine are expensive due to heavily dependent on experts. Hence, the main goal of the developed system is to diagnose the problem of air handling unit. With the assistance of expert system, the diagnosis process for air handling unit can be shorten up by 566.5% and standardized compared to the conventional way. The developed system is restricted by the expert’s experiences and knowledge. A case study was conducted to verify the capability of the developed system.

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