• International Journal of Safety
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• v.6 no.2
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• pp.27-32
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• 2007

For last several decades with the achievement of fast economic development, the electrical fires occupies over 30 percent of total fire incidents almost every year in Korea and not decreased in spite of much times and efforts. Electrical fire cause diagnostics are to confirm a cause for the fire by examination of fire scene. Cause diagnosis methods haven't been systematized yet, because of limits for available information, investigator's biased knowledge, etc. Therefore, in order to assist the investigators and to find out the exact causes of electrical fires, required is research for an electrical fire cause diagnosis system using DB, computer programming and some mathematical tools. The electrical fire cause diagnosis system has two functions of DB and electrical fire cause diagnosis. The cause diagnosis is conducted by a case-based reasoning on a case base and rule-based reasoning on a rule base. For the diagnosis with high reliability, a mixed reasoning approach of a case-based reasoning and fuzzy rule-based reasoning has been adopted. The electrical fire cause diagnosis system proposes the electrical fire causes inferred from the diagnosis processes, and possibility of the causes as well.

• Journal of the Korean Society of Safety
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• v.21 no.3 s.75
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• pp.16-21
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• 2006

This paper presents a knowledge-based electrical fire cause diagnosis system using the fuzzy reasoning. The cause diagnosis of electrical fires may be approached either by studying electric facilities or by investigating cause using precision instruments at the fire site. However, cause diagnosis methods for electrical fires haven't been systematized yet. The system focused on database(DB) construction and cause diagnosis can diagnose the causes of electrical fires easily and efficiently. The cause diagnosis system for the electrical fire was implemented with entity-relational DB systems using Access 2000, one of DB development tools. Visual Basic is used as a DB building tool. The inference to confirm fire causes is conducted on the knowledge-based by combined approach of a case-based and a rule-based reasoning. A case-based cause diagnosis is designed to match the newly occurred fire case with the past fire cases stored in a DB by a kind of pattern recognition. The rule-based cause diagnosis includes intelligent objects having fuzzy attributes and rules, and is used for handling knowledge about cause reasoning. A rule-based using a fuzzy reasoning has been adopted. To infer the results from fire signs, a fuzzy operation of Yager sum was adopted. The reasoning is conducted on the rule-based reasoning that a rule-based DB system built with many rules derived from the existing diagnosis methods and the expertise in fire investigation. The cause diagnosis system proposes the causes obtained from the diagnosis process and showed possibility of electrical fire causes.

• Fire Science and Engineering
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• v.24 no.3
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• pp.25-32
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• 2010

This research derived the perception with, and their remedies, in our country's fire cause investigation system by conducting survey on the working-level officials responsible for fire cause investigation in the fire stations and police stations. The results of the survey showed the necessity of establishing departments exclusively responsible for fire statistics management, broad area fire cause investigation task force, fire appraisal organizations besides National Institute of Scientific Investigation, standards for retaining fire investigation equipment, ways of improving technical education system, and improving the system for those who are specialized in arson (fire) cause investigation.

• Fire Science and Engineering
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• v.25 no.5
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• pp.108-118
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• 2011

In this study, strengths related with fire investigation of fire stations are analyzed and methods for the capacity building of their fire cause investigation are suggested. The methods for capacity building of fire cause investigation suggested are focused on using potential and strengths of current fire fighting and enhancing internal capacity rather than reinforcing investigation personnel, organization, and equipment and ensuring investigation power. The methods suggested in this study are as follows. 1) Because fire investigation results are the basis of fire administration, fire marshals should change their awareness of the need of fire investigation; 2) A fire investigation system should be established to ensure statements of people concerned systematically; 3) A substantial system of fire cause investigation should be established to investigate fire scenes more than twice; 4) A substantial system of fire cause investigation should be established to use such materials as CCTV; 5) Extinguishing should be made in consideration of fire cause investigation and a scene preservation system after extinguishing should be established; 6) A fire investigation system should be established in connection with 119 first-aid and rescue teams and 7) Steps to raise the morale of fire investigation staff should be taken.

• Fire Science and Engineering
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• v.23 no.2
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• pp.36-40
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• 2009

This paper presents research about the development of electrical fire cause classification in order to improve the reliability of electrical fire statistics and to collect electrical fires data efficiently. The incorrect and biased knowledge for electrical fires changed the classification of certain types of fires, from non-electrical to electrical. It is convenient and required to develop the standardized form that makes, in the assessment of the cause of electrical fires, the fire investigators directly ticking the appropriate box on the fire report form or making an assessment of a text description. In this study, newly developed electrical fire cause classification structure, which is well-defined hierarchical structure so that there are not any relationship or overlap between cause categories, is suggested. Also the suggested classification structure can be used for electrical fire investigation and statistics, which minimizes the mistake that diagnose non-electrical fires into electrical ones.

• Transactions of the Korean Society of Automotive Engineers
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• v.21 no.1
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• pp.9-16
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• 2013

Although it is widely accepted that a fire can occur due to electrical causes even when an engine stops, there is little introduction of detailed case analysis. This study analyzed a fire case caused by an electrical cause during engine stopping at parking lot in detail. Moreover, it was revealed that the fire was mainly caused by design defect.

• Journal of the Korean Society of Safety
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• v.20 no.3 s.71
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• pp.53-57
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• 2005

This paper presents development of a classification system for an electrical fire investigation. In order to reduce an electrical fires and establish detailed prevention plans, the collection of an electrical fire causes and base data are very important. Based on this data, a new classification system for an electrical fire investigation was developed and the direction to the classification system was suggested by fundamental analysis. All of the collected information is analyzed by bottom-up method. Criteria items which based on base data were categorized to classify items. The classification of items were found out as follows : basic condition fire scene condition, fire sign, fire cause. Particularly, the fire cause category is classified. A new developed classification system for an electrical fire investigation will be used to analyse electrical fires easily and efficiently.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.3
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• pp.466-471
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• 2007

Electrical fires form over 30 percent of fires, but the study on the reliability of electrical fire statistics is not performed. Electrical roe occupancy was very high due to investigating and classifying fires, which is not directly continuous with electrical cause, as electrical fire because insufficiency of cause classification method or system, and the problems of the reliability of electrical fire statistics were presented. So, the reliability of electrical fire statistics must be guaranteed by improvement of the existing cause classification method of electrical fire. This paper analyzed the problems of electrical rue statistics by the existing cause classification method of electrical fire and presented the new method to classify causes of electrical fire.

• International Journal of Safety
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• v.6 no.2
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• pp.17-21
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• 2007

This paper aims at the statistical analysis of electrical fire and classification of electrical fire causes to collect electrical fires data efficiently. Electrical fire statistics are produced to monitor the number and characteristics of fires attended by fire fighters, including the causes and effects of fire so that action can be taken to reduce the human and financial cost of fire. Electrical fires make up the majority of fires in Korea(including nearly 30% of total fires according to recent figures), The incorrect and biased knowledge for electrical fires changed the classification of certain types of fires, from non-electrical to electrical. It is convenient and required to develop the standardized form that makes, in the assessment of the cause of electrical fires, the fire fighters directly ticking the appropriate box on the fire report form or making an assessment of a text description. Therefore, it is highly recommended to develop electrical fire cause classification and electrical fire assessment on the fire statistics in order to categorize and assess electrical fires exactly. In this paper newly developed electrical fire cause classification structure, which is well-defined hierarchical structure so that there are not any relationship or overlap between cause categories, is suggested. Also fire statistics systems of foreign countries are introduced and compared.

• Fire Science and Engineering
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• v.29 no.5
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• pp.57-66
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• 2015

This thesis is based on a research to investigate the electrical fire risk due to the single and composite cause in a terminal block. This paper analyzed the thermal characteristics depending on the screw torque change and contact resistance change to measure the fire risk due to the poor contact from single cause first. To measure the fire risk due to the composite cause, the acceleration tracking depending on the contact resistance change was experimented to check the correlation of poor contact and tracking to fire. The experiment result showed that the thermal characteristics were clearer as the screw torque in poor contact status and magnitude of contact resistance increased and that the thermal characteristics of terminal block depending on the contact resistance change was more reliable than the thermal characteristics depending on the screw torque change. Moreover, the terminal block poor contact and tracking were correlated in the case of the composite cause, and when two composite causes were interacted, the electrical fire risk was higher than the single cause.