• 한국안전학회지
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• 제34권2호
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• pp.1-6
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• 2019

This study focuses on the evaluation of severity measures used for accidents associated with industrial machines and devices. In particular, duration of medical treatment, duration of work loss, number of deaths in an individual accident associated with industrial machines and devices are evaluated in various ways to assess the severity of the accident. The number of accidents with work loss of longer than 1 year as the severity measure and the number of accidents as the frequency measure appeared to be the most discriminating information and allow risk assessment based on these frequency and severity measures for grouping of industrial machines and devices. Results of such risk assessment further confirmed the re-classification of industrial machines and devices that are currently subject to safety certification (SC) and self-declaration of conformity (SDC) or selection of those machines and devices that are newly subject to SC and SDC.

• 한국안전학회지
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• 제31권1호
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• pp.7-12
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• 2016

This study first focuses on the quantitative evaluation of both compulsory and voluntary safety certification of industrial machines and devices. Based on the results of statistical analysis, effectiveness of those safety certifications were confirmed. In order to reduce both the frequency and the strength of industrial accidents associated with industrial machines and devices, major target of safety regulations needs to be shifted from users to manufacturers. Adjustment of industrial machines and devices which are subject to compulsory safety certification and implementation of risk assessment are further suggested. As for the voluntary certification, reestablishment of the concept of voluntary safety certification and balance between compulsory and voluntary certifications is discussed. Voluntary safety certification is further suggested as a mean to manage safety of industrial machines and devices which are not subject to any safety regulations.

• 한국안전학회지
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• 제18권2호
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• pp.22-27
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• 2003

The roller machines installed in the industrial field are operated under hazardous conditions due to no safety devices available, human error during operation, defective safety devices, and inadequate regulation even in case that safety devices are provided. Up to now, most roller machines installed in domestic field are provides with band breaking system as a safety device. In this study, the emergency stop distance is measured within the limit of domestic regulation but violates a foreign regulation(EN1417). Consequently, it is concluded that the roller machines with a band breaking system have high possibility of death or serious injury of the operator and the system should be improved with the introduction of additional safety devices. This thesis suggests the safety measures suitable for the roller machines with different drive systems based on the experiment results. The use of the newly developed safety system has been tested on many cases.

• 한국안전학회지
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• 제30권6호
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• pp.26-33
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• 2015

This study suggests systematic procedures to improve safety policies on prevention of industrial accidents associated with industrial machines and devices. Specifically, new method of cause analysis of industrial accidents associated with industrial machines and devices is suggested and the related accident data are re-analyzed. Effectiveness of direct safety regulations such as safety certification, self-declaration of conformity, safety device regulation and safety inspection of industrial machines and devices are also analyzed. Based on those analysis results, transition from the current user-oriented safety device regulation to more balanced direct regulations on both manufacturer and user is suggested. Together with severity and frequency of industrial accidents, unit severity and unit frequency need to be taken into account to further assess the risk associated with a particular industrial machine or device. Balance between safety regulations will be realized by proper adjustment of lists of safety certification and inspection, and certification and inspection standards. This will also guarantee the maximum benefit over cost in such safety regulations.

• 한국안전학회지
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• 제33권1호
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• pp.16-21
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• 2018

Cause analysis of accidents associated with industrial machines and devices is essential to improve the effectiveness and the efficiency of industrial safety system in Korea. This study focuses on cause analysis of accidents associated with industrial machines and devices. In particular, analysis of abstracts of accidents which are written in descriptive format and, therefore, inherently unstructured and exhibits characteristics of big data is suggested and tested. Automatic analysis of such big data performed in this study reveals the consistent results with the manual analysis results in previous studies. Analysis results also suggest that incorporating transition from the current user-oriented indirect regulations to more manufacturer and user balanced direct regulations will guarantee more effective prevention of industrial accidents at the early stage of generation of danger.

• 한국안전학회지
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• 제35권4호
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• pp.1-8
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• 2020

Intensity of accidents associated with dangerous machines and devices are (hereafter items), in general, high compared to other industrial accidents. This study focuses on cause analysis of accidents associated with items that are subject to safety certification. The method is based on automated analysis of abstracts of accidents written in descriptive format. The analysis results indicate that more than 50% of accidents associated with items are caused by technical reasons and nearly 50% of accidents were preventable. More effective prevention of industrial accidents would then be realized by safety certification at the stage of danger generation. Transition from the direct regulation on users to manufacturers is also needed to improve the effectiveness and efficiency of industrial safety system in Korea.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 1996년도 추계학술발표회논문집
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• pp.116-121
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• 1996

An image of future power system which has introduced superconducting generator, cable, transformer, fault current limiter, SMES and so on is presented. Conceptual designs of each SC machines and devices are carried out. The SC cable and SFCL utilize the high Tc superconductor(HTS) cooled by liquid $N_2$Other devices use low temperature superconducting cooled by He. The SC power system models are proposed detailedly. In viewpoint of the operation and control SC power system, The concrete design direction and effective role of each SC apparatus are investigated. In this paper, it is pointed that superconducting fault limiters(SFCLs) should play an important part of the quenching current level coordination to prevent the other SC devices from quenching. Finially, SFCL are also expected to he very effective to introduce flexibility of power system configuration and operation due to their possibility to enhance transient stability and reduce short circuit current.

• 한국안전학회지
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• 제29권6호
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• pp.1-8
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• 2014

Safety certification and inspection of dangerous machines and equipments used in industries are to save lives of workers and properties involved. Cause analysis of industrial accidents is essential to prove the effectiveness of such certification and inspection. This study focuses on suggesting systematic method for cause analysis of industrial accidents associated with dangerous machines and devices. Incorporating transition from the current user-oriented indirect regulations to more manufacturer and user balanced direct regulations, suggested method coupled with safety certification, safety inspection, safety management and safety education will guarantee more effective prevention of industrial accidents.

• 한국안전학회지
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• 제31권1호
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• pp.1-6
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• 2016

Severity and frequency of industrial accidents are typically used to assess the "absolute" risk associated with the industrial machines and devices ("items") which are subject to safety certification or self-declaration of conformity. However, the "relative" risk associated with a particular item can further be assessed based on unit severity and unit frequency where the total number of item in use is taken into account. This study first attempts to estimate the total number of each item in use which was recently selected for safety certification or self-declaration of conformity. The appropriateness of such selection is recapitulated based on the relative risk involved. Analysis results indicate that depending on items, the relative risk is differentiated from the absolute risk. Recent selection of items for safety certification or self-declaration of conformity is then revisited for its validity. The relative risk based on unit severity and unit frequency of industrial accidents, together with the absolute risk, may be used to further categorize items for safety certification or self-declaration of conformity in the future.

• Journal of Electrical Engineering and Technology
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• 제12권3호
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• pp.1146-1155
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• 2017

Normally, the artificial intelligence algorithms are widely applied to the optimal controller design. Then, it is expected that the best output performance is achieved. Unfortunately, when resulting controller parameters are implemented by using the practical devices, the output performance cannot be the best as expected. Therefore, the paper presents the optimal controller design using the combination between the state-space averaging model and the adaptive Tabu search algorithm with the new criteria as two penalty conditions to handle the mentioned problem. The buck-boost converter regulated by the cascade PI controllers is used as the example power system. The results show that the output performance is better than those from the conventional design method for both input and load variations. Moreover, it is confirmed that the reported controllers can be implemented using the realistic devices without the limitation and the stable operation is also guaranteed. The results are also validated by the simulation using the topology model of MATLAB and also experimentally verified by the testing rig.