Design and Implementation of an Expert Management System for Automobile Fault Detection (original) (raw)
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An Approach towards designing of Car Troubleshooting Expert System
International Journal of Computer Applications, 2010
Car problem detection is a complicated process which demands high level of knowledge and skills. Our aim is to develop an expert system on car maintenance and troubleshooting that is capable of assisting car's owner in dealing with their car problems and troubleshooting them whenever the time is limit and the human expert, also known as mechanics is not available at that very point of time. This paper provides affective design issues concerning the problems while driving a car and will give a logical solution which would help in rectifying those problems. The system would contain various set of rules for detecting different type of failures which can be easily handled by the driver and will give their causes. Here the system mainly deals with the starting problems of car and detecting various other large scale problems.
Implementing an Expert Diagnostic Assistance System for Car Failure and Malfunction
Applications in fault diagnosis are continuously being implemented to serve different sectors. Car failure detection is a sequence of diagnostic processes that necessitates the deployment of expertise. The Expert System (ES) is one of the leading Artificial Intelligence (AI) techniques that have been adopted to handle such task. This paper presents the imperatives for an ES in developing car failure detection model and the requirements of constructing successful Knowledge-Based Systems (KBS) for such model. In addition, it exhibits the adaptation of the ES in the development of Car Failure and Malfunction Diagnosis Assistance System (CFMDAS). However, CFMDAS development faces many challenges such as collecting the required data for building the knowledge base and performing the inferencing. Furthermore, diagnosis of car faults requires high technical skills and experienced mechanics who are typically scarce and expensive to get. Thus, systems such as CFMDAS can be highly useful in assisting mechanics for failure detection and training purposes. Moreover, capturing and retaining valuable knowledge on such domain yield more accurate and less time consuming models.
Development of an Intelligent Car Engine Fault Troubleshooting System (CEFTS
Development of an Intelligent Car Engine Fault Troubleshooting System (CEFTS) , 2016
The mass production and wider use of automobiles and the incorporation of complex electronic technologies all indicate that the control of faults should be an integral part of engine design and usage. This paper discusses an expert system application for troubleshooting car engine faults using Auto-mechanic workshops in Calabar metropolis of Cross River State-Nigeria. The method of fact-finding called knowledge acquisition which is an expert system approach to extract facts was adopted in order to achieve good judgment in the use of heuristics among experts. The results are represented as a set of IF-THEN judgments that expert mechanics can rely mostly on in the troubleshooting process. The system depends on an automated matching process between symptoms and procedures. The paper developed a new prototype named Car Engine Fault Troubleshooting System (CEFTS) using C++ programming platform. The purpose of the developed prototype is to assist motorists and auto mechanics in fault troubleshooting of car engines by providing systematic and step-by-step analysis of failure symptoms and offering maintenance or service advice. The result of this development is expected to introduce a systematic and intelligent method in car engine troubleshooting and maintenance environments and also provides a troubleshooting framework for other researchers to work on.
Approach towards Car Failure Diagnosis-An Expert System
International Journal of Computer Applications, 2010
The paper presents the processes that play a significant role in the development of an expert system. The research has been done to assist in the designing of an expert system for car failure diagnosis and repairs under constraint like time, place and availability of human expertise. Study of technologies for designing expert systems was undertaken to conclude best means, which are simple and easy, to implement and maintain while developing an expert system.
Developing Knowledge-Based Systems: Car Failure Detection using Expert System
Information and Knowledge Management, 2014
To develop an expert system describes the knowledge-base of the car failure detection. 19 rule-based of car fault diagnosis expert system using the Visual Basic and Microsoft Access as tools for helping inexperienced mechanic as the decision support system. During the test phase of system it never gave wrong detection according to the rules used. It can be concluded that car failure detection expert system is helpful although it might not give a complete guides and help as a human expert namely mechanical engineer do, but at least the expert system can give a temporary assistance to those who are in need of an instance help. Keywords: knowledge-base system, car failure detection, expert system, rule-based
Implementing a Mobile Vehicle Failure and Malfunction Diagnosis Assistance System
2013
Applications in fault diagnosis are continuously being implemented to serve different sectors. Vehicle failure detection is a sequence of diagnostic processes that necessitates the deployment of expertise. This paper presents the imperatives for an expert system in developing vehicle failure solution detection model and the requirements of constructing successful knowledge-based system for such model. In addition, it exhibits the adaptation of the expert system in the development of vehicle failure and malfunction diagnosis assistance system (VFMDAS). Thus, the purpose of this paper is to assess the feasibility of augmenting the mechanic/vehicle user with a mobile application in the maintenance of vehicle. Based on the current diagnostic expert systems such as MYCIN, the expert diagnostic system discussed here will contain a knowledge base obtained from technical manuals and expert mechanics. It should be possible for less-qualified mechanic or a new vehicle user to quickly and accu...
ABSTRACT : Vehicle fault detection has always been done by manual method. This process simply involves trial and error processes where a mechanical engineer or auto technician is called in to diagnose automotive device (vehicle) to detect the fault(s). Though there have being recent developments in the fault detection system (FDS) which involves the use of an application displayed in a digital device to detect faults but this cannot send report online to mechanics or auto technicians. The manual method involves trial and error processes with involves series of rigorous processes before troubleshooting is completed. This method is inefficient, stressful, time consuming, and wearing and tearing of some mechanical parts. These leads to high cost of maintenance. The paper proposed a vehicle fault detection system that is a computer- based application with an advanced feature of online fault reporting. This system works with the assistance of computer software which captures and display faults for the user and also the user can send the report to the mechanics via email and SMS for immediate response. The proposed system helps to reduce human labor and rigorous activity of trying to detect fault. It also helps to reduce cost of troubleshooting and vehicle maintenance by cutting down on time wasted on trial and error troubleshooting. This system was designed using the Microsoft Visual Studio.net as the frontend and the Structured Query Language (SQL) of Microsoft-Access database as the backend to store information of the series of faults which may have originated from the system. The system was tested and worked successfully according to the design specification and model.
An Expert System for Car Failure Diagnosis
Car failure detection is a complicated process and requires high level of expertise. Any attempt of developing an expert system dealing with car failure detection has to overcome various difficulties. This paper describes a proposed knowledge-based system for car failure detection. The paper explains the need for an expert system and the some issues on developing knowledge-based systems, the car failure detection process and the difficulties involved in developing the system. The system structure and its components and their functions are described. The system has about 150 rules for different types of failures and causes. It can detect over 100 types of failures. The system has been tested and gave promising results. Keywords—Expert system, car failure diagnosis, knowledge- based system, CLIPS.
An expert system for engine fault diagnosis: development and application
Journal of Intelligent Manufacturing, 1998
The mass production and wider use of automobiles and the incorporation of complex electronic technologies all indicate that the control of faults should be given an integral part of engine design and usage. Today, arti®cial intelligence (AI) technology is widely suggested for systematic diagnosis of faults where the amount of well-de®ned diagnosis knowledge is vast and the sequence of steps required to identify the fault is very long. This article describes on an expert system application for automotive engines. A new prototype named EXEDS (expert engine diagnosis system) has been developed using KnowledgePro, an expert system development tool, and run on a PC. The purpose of the prototype is to assist auto mechanics in fault diagnosis of engines by providing systematic and step-by-step analysis of failure symptoms and oering maintenance or service advice. The result of this development is expected to introduce a systematic and intelligent method in engine diagnosis and maintenance environments.
Using Database System Designed to Diagnosis Engine Cars Error Working
IJCSMC, 2018
This work presents a design and implementation of Database System for Vehicle Fault Diagnosis using mix of many knowledge representation forms. The scheme for knowledge representation uses both procedural and declarative knowledge representation formalisms through the application of relational database. So the rule base, case base and frame base formats have been converted into tables. The scheme facilitates combination of forward and backward chaining reasoning, using the problem reduction method for solving problem, and the heuristic search technique. All the editing facilities of system; inserting, deleting and updating of a rule, case, and frame are present. In this work, visual studio 2008 (VB.Net) have been used for the implementation of the system and suitable user interface design. The implementation is an application for the system in the domain vehicle fault diagnosis. Therefore, the Database System for Diagnosis engine cars error working tested for many cases and the results, from different cases, matched the results of the vehicle mechanic.