• International Journal of Safety
• /
• 제6권2호
• /
• pp.17-21
• /
• 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.

• 한국안전학회지
• /
• 제20권3호
• /
• pp.53-57
• /
• 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.

• 한국산학기술학회논문지
• /
• 제8권3호
• /
• pp.466-471
• /
• 2007

전기화재는 전체 화재의 30% 이상을 차지하고 있지만 전기화재 통계의 신뢰성에 대한 검토가 제대로 이루어지지 못하였다. 전기화재는 원인분류 방법 또는 체계의 미흡으로 전기적 요인이 아닌 경우에도 전기화재로 분류되어 높은 점유율을 차지하게 되었고 그로 인한 전기화재 통계의 문제점이 제기되었다. 따라서 기존의 전기화재 원인 분류 방법의 개선을 통해 전기화재 통계의 신뢰성 확보가 필요하다. 본 논문에서는 기존의 전기화재 원인분류에 따른 전기화재 조사 및 통계의 문제점을 분석하였고 새로운 전기화재 원인분류 방법을 제시하였다.

• 대한전기학회논문지:전력기술부문A
• /
• 제49권8호
• /
• pp.405-411
• /
• 2000

When faults occur in transmission lines, the classification of faults is very important. If the fault is HIF(High Impedance Fault), it cannot be detected or removed by conventional overcurrent relays (OCRs), and results in fire hazards and causes damages in electrical equipment or personal threat. The fast discrimination of fault needs to effective protection and treatment and is important problem for power system protection. This paper propolsed the fault detection and discrimination algorithm for LIFs(Low Impedance Faults) and HIFs(High Impedance Faults). This algorithm uses artificial neural networks and variation of 3-phase maximum currents per period while faults. A double lines-to-ground and line-to-line faults can be detected using Neural Network. Also, the other faults can be detected using the value of variation of maximum current. Test results show that the proposed algorithms discriminate LIFs and HIFs accurately within a half cycle.

• Journal of Preventive Medicine and Public Health
• /
• 제1권1호
• /
• pp.43-49
• /
• 1968

Epidemiological and statistical observations were made of fire hazards that occurred during the past 18 years, 1948 to 1965. Injury and mortality rates for all ages were computed chronologically. For the years of 1955, 1961 and 1965, all fire accidents were epidemiologically analysed to draw characteristic patterns in relation to the seasonal and 24 hour distribution, causes and sites of accidents etc.. Fire hazards observed herein are the categorys E 916 of the International Classification of Causes of Death, 1955, and includes all accidents caused by fire and explosion of combustible materials. The following conclusion was made: 1. The average number of annual deaths due to fire was 183 and the number of the in jured due to the same cause was 335. The mortality rate per 100,000 population was 0.8 and the ratio of injuries per death was 1.83. 2. The casually rate including both the dead and injured was 5.0 per 100,000 in Seoul, the highest among the provinces and followed by 3.4 in Cheju -Do, 2.1 in Kangwon-Do, 1.7 in Kyunggi-Do accordingly. The other provinces had a range of 0.6 to 1.2. 3. The monthly distribution of fro accidents showed that the winter months, December through February, had more frequent accidents, while the summer season, June through August had less. The 24 hour distribution of accidents showed more cases from 12:00 to 18:00 and less from 4:00 to 10:00 hours. 4. The per cent distribution of causes of accidents showed; 90.0% for careless, 10.0% for arson. The cause of carelessness was further breakdown into; 15.0% for kitchen fire places, 13.8% for fire playing, 9,4% for electrical heating and wires, 8.3% for fuels, 6.3% for matches, 5.2% for ash dumps and the remaining for others. 5. The accidents as classified by place revealed that 56.8% of the total occurred at the common dwelling houses, 11.3 at various industrial workshops, 9.3% at the street shops and the remaining at the miscellaneous places.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2000년도 하계학술대회 논문집 A
• /
• pp.366-368
• /
• 2000

When faults occur in transmission lines, the classification of faults is very important. If the fault is HIF(High Impedance Fault), it cannot be detected or removed by conventional overcurrent relays (OCRs), and results in fire hazards and causes damages in electrical equipment or personal threat. The fast discrimination of fault needs to effective protection and treatment and is important problem for power system protection. This paper proposes the fault detection and discrimination algorithm for LIFs(Low Impedance Faults) and HIFs(High Impedance Faults). This algorithm uses artificial neural networks and variation of 3-phase maximum currents per period while faults. A double lines-to-ground and line-to-line faults can be detected using Neural Network. Also, the other faults can be detected using the value of variation of maximum current. Test results show that the proposed algorithms discriminate LIFs and HIFs accurately within a half cycle.

• 한국건설안전학회 논문집
• /
• 제1권1호
• /
• pp.31-39
• /
• 2018

국내에서 발생하는 화재사고 중 약 20%가 전기설비에서 기인한 화재로 확인되고 있다. 복잡하고 대형화되어있는 건축물에서 전기화재는 재산 피해와 인명 피해가 증가하면서 대형화하는 양상으로 발생하고 있다. 여러 가지 전기화재의 원인 중 누전에 의한 발화가 약 71.5%를 차지하고 있고, 전기설비별 분류에서는 배선 및 배선기구에서 발생하는 화재가 약 38.3%를 차지하고 있다. 본 연구의 목적은 현재 사용되고 있는 옥내배선 형태를 개선하여 누전으로 인한 전기화재를 예방하는 방법을 제시하고, 배선기구에서 범용 되고 있는 콘센트와 플러그를 개선하여 배선기구에서 발생하는 화재를 예방하는 근원적 방안을 찾고자 한다. 본 연구를 통해서 제시되는 전기화재 예방대책은 전기화재의 근원적 원인을 제거하여 많은 인명과 재산을 보호하는 대책으로 활용될 수 있을 것으로 기대된다.