scholarly journals A Fault Diagnosis Expert System for Commercial Bus Manufacturing process

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.  

A FAULT DIAGNOSIS EXPERT SYSTEM FOR WATER COOLED PACKED UNIT

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.

Design of Fault Diagnosis Expert System for Certain Type of Aircraft Electrical Power

2012 ◽  
Vol 466-467 ◽  
pp. 1186-1190
Author(s):  
Jun Bin Cao ◽  
Er Min Guo ◽  
Yan Li
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Electrical Power ◽  
Fault Models ◽  
Electrical System ◽  
Diagnosis System ◽  
Fault Structure ◽  
Fault Diagnosis System ◽  
Fault Mechanism ◽  
Analytical Technology

In order to diagnose and exempt the fault of aircraft electrical system accurately and fast, on the basis of analyzing the lost mode and fault mechanism of certain aircraft electrical system, fault structure are built and structure are built and fault models are analyzed by adopting the analytical technology based on regular fault structure. Two induction mechanisms, namely directional and anti-directional inference are introduced and the component methods are studied based on the knowledge corpus of data corpus technique. The result shows the inference results of fault diagnosis system are in accordance to reality and improve the intelligentized level of fault diagnosis system for aircraft electrical power.

Design of Fault Diagnosis Expert System of Transformer

2013 ◽  
Vol 291-294 ◽  
pp. 2557-2561
Author(s):  
Tao Sun ◽  
Hai Bo Liu
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Representation ◽  
System Design ◽  
System Of Systems ◽  
Knowledge Representation And Reasoning ◽  
Design Knowledge ◽  
Systems Architecture ◽  
Fault Diagnosis System ◽  
Transformer Fault

The transformer fault diagnosis expert system design knowledge representation and reasoning mechanisms are the key issue. Characteristics of transformer fault diagnosis system based on human experts, learning on the basis of the human expert diagnosis of transformer faults, to build a transformer fault diagnosis expert system of systems architecture, knowledge representation and reasoning mechanisms for a more detailed analysis and discussion.

Research and Implementation of an Expert System for Fault Diagnosis of Fan Based on Knowledge Rule

2011 ◽  
Vol 201-203 ◽  
pp. 1989-1992
Author(s):  
Lei Wang ◽  
Tian Zhong Sui ◽  
Yu Song ◽  
Hai Xiang Zhao ◽  
Bo Ran Zhuang
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Base ◽  
Relational Database ◽  
High Efficiency ◽  
Rule Based ◽  
Diagnosis System ◽  
Hybrid Reasoning ◽  
Fault Diagnosis System ◽  
And Function

An example of the rule-based expert system applied to the fan fault diagnosis is presented. The architecture and function of the fault diagnosis system are introduced. The expression of the fault diagnosis knowledge and the attribute of knowledge base based on the relational database have been studied. The hybrid reasoning technology was applied to the implementation of the diagnosis inference engine in the expert system. The presented fault diagnosis system is easy to modify the knowledge base with the experience accumulated in practice, and it has the advantages of expansibility, portability, concision, and high efficiency.

scholarly journals Research on rapier loom fault system based on cloud-side collaboration

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260888
Author(s):  
Yanjun Xiao ◽  
Kuan Wang ◽  
Weiling Liu ◽  
Kai Peng ◽  
Feng Wan
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Fault System ◽  
Human Machine Interaction ◽  
Diagnosis System ◽  
Depth Study ◽  
Diagnosis Method ◽  
Fault Diagnosis System ◽  
Electrical Faults ◽  
Machine Interaction

The electrical control system of rapier weaving machines is susceptible to various disturbances during operation and is prone to failures. This will seriously affect the production and a fault diagnosis system is needed to reduce this effect. However, the existing popular fault diagnosis systems and methods need to be improved due to the limitations of rapier weaving machine process and electrical characteristics. Based on this, this paper presents an in-depth study of rapier loom fault diagnosis system and proposes a rapier loom fault diagnosis method combining edge expert system and cloud-based rough set and Bayesian network. By analyzing the process and fault characteristics of rapier loom, the electrical faults of rapier loom are classified into common faults and other faults according to the frequency of occurrence. An expert system is built in the field for edge computing based on knowledge fault diagnosis experience to diagnose common loom faults and reduce the computing pressure in the cloud. Collect loom fault data in the cloud, train loom fault diagnosis algorithms to diagnose other faults, and handle other faults diagnosed by the expert system. The effectiveness of loom fault diagnosis is verified by on-site operation and remote monitoring of the loom human-machine interaction system. Technical examples are provided for the research of loom fault diagnosis system.

An Expert System Shell for Fault Diagnosis

Robotica ◽  
2001 ◽  
Vol 19 (6) ◽  
pp. 669-674 ◽  
Author(s):  
Jie Yang ◽  
Chenzhou Ye ◽  
Xiaoli Zhang
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Representation ◽  
Expert Systems ◽  
Knowledge Representation And Reasoning ◽  
Multiple Models ◽  
Object Model ◽  
Knowledge Models ◽  
Expert System Shell

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.

RESEARCH ON FAULT DIAGNOSIS SYSTEM OF ROTATING MACHINERY BASED ON MACHINERY CONFIGURATION

2008 ◽  
Vol 07 (01) ◽  
pp. 41-44
Author(s):  
PING CHEN ◽  
ZHIJIANG XIE
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Base ◽  
Rotating Machinery ◽  
Configuration Model ◽  
Production Rules ◽  
Maintenance Mechanism ◽  
Fuzzy Production Rules ◽  
Fault Diagnosis System ◽  
Access To Knowledge

The knowledge representation of multi-symptom fuzzy production rules based on machinery configuration model, and the establishment and maintenance mechanism of knowledge base based on relational database are studied in the paper. With the support of ADO technique, the access to knowledge base and fault reasoning are realized. Application shows that the expert system has the merits of being simple to construct and of high reasoning efficiency. And, the adaptability and universality of fault diagnosis expert system to rotate machinery are greatly increased.

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