• Title/Summary/Keyword: 차량결함

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결함주입기법을 이용한 차량용 고신뢰성 임베디드 시스템의 안전성 검증방안

  • Lee, Dong-U;Ryu, Dae-Hyun;Na, Jong-Hwa
    • Review of KIISC
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    • v.24 no.2
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    • pp.50-55
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    • 2014
  • 자동차 전장제품 활용의 급속한 증가에 대응하기 위하여 자동차 분야에서는 ISO 26262 안전설계절차를 도입하여 차량용 임베디드 시스템의 안전성을 확보하려고 노력하고 있다. ISO 26262는 자동차에서 발생 가능한 비정상상태(abnormal state)를 식별하고 그의 영향을 분석하며 전체 시스템의 안전을 검증하는 것을 목표로 하고 있다. 다양한 종류의 부품이 연동되는 복잡한 시스템의 안전 검증은 결함수목법과 고장모드영향분석법을 활용하는 위험분석법이 보편적으로 사용된다. 결함주입시험은 이러한 위험분석의 기반도구로서 안전성을 향상시키기 위하여 사용된 고장감내 기능의 동작여부 및 그에 따른 시스템의 안전성을 검증하는 목적으로 사용된다. 본 논문에서는 차량용 고신뢰성 임베디드 시스템에서 사용되는 고장감내 메카니즘들의 기능과 안전을 검증하는 방법과 사례를 소개한다. 최근의 복잡한 차량용 임베디드 시스템의 개발은 상위수준의 모델을 개발하여 지정된 위험 및 고장을 초래하는 결함을 시스템에 주입하고 그의 결과를 분석하여 안전을 검증하는 것이 일반적인 방법이다. 개발 목표 차량의 임베디드 시스템 모델을 개발하고, 식별된 결함의 결함모델을 준비한 뒤, 시스템 모델 기반 결함주입 도구를 이용하여 결함주입을 수행하는 시험방법과 그 결과에 대하여 논의한다. 하드웨어는 SystemC 하드웨어 설계언어를 이용하여 개발하고, 소프트웨어를 컴파일하여 실행화일을 확보하여 시험대상인 결함모델을 개발하고 이를 대상으로 결함주입시험에 대해 설명한다.

Fault Localization Method by Utilizing Memory Update Information and Memory Partitioning based on Memory Map (메모리 맵 기반 메모리 영역 분할과 메모리 갱신 정보를 활용한 결함 후보 축소 기법)

  • Kim, Kwanhyo;Choi, Ki-Yong;Lee, Jung-Won
    • Journal of KIISE
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    • v.43 no.9
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    • pp.998-1007
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    • 2016
  • In recent years, the cost of automotive ECU (Electronic Control Unit) has accounted for more than 30% of total car production cost. However, the complexity of testing and debugging an automotive ECU is increasing because automobile manufacturers outsource automotive ECU production. Therefore, a large amount of cost and time are spent to localize faults during testing an automotive ECU. In order to solve these problems, we propose a fault localization method in memory for developers who run the integration testing of automotive ECU. In this method, memory is partitioned by utilizing memory map, and fault-suspiciousness for each partition is calculated by utilizing memory update information. Then, the fault-suspicious region for partitions is decided based on calculated fault-suspiciousness. The preliminary result indicated that the proposed method reduced the fault-suspicious region to 15.01(%) of memory size.

Flaw Evaluation of Bogie connected Part for Railway Vehicle Based on Convolutional Neural Network (CNN 기반 철도차량 차체-대차 연결부의 결함 평가기법 연구)

  • Kwon, Seok-Jin;Kim, Min-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.53-60
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    • 2020
  • The bogies of railway vehicles are one of the most critical components for service. Fatigue defects in the bogie can be initiated for various reasons, such as material imperfection, welding defects, and unpredictable and excessive overloads during operation. To prevent the derailment of a railway vehicle, it is necessary to evaluate and detect the defect of a connection weldment between the car body and bogie accurately. The safety of the bogie weldment was checked using an ultrasonic test, and it is necessary to determine the occurrence of defects using a learning method. Recently, studies on deep learning have been performed to identify defects with a high recognition rate with respect to a fine and similar defect. In this paper, the databases of weldment specimens with artificial defects were constructed to detect the defect of a bogie weldment. The ultrasonic inspection using the wedge angle was performed to understand the detection ability of fatigue cracks. In addition, the convolutional neural network was applied to minimize human error during the inspection. The results showed that the defects of connection weldment between the car body and bogie could be classified with more than 99.98% accuracy using CNN, and the effectiveness can be verified in the case of an inspection.

Analysis of Traffic Accident Reduction Effect When Introducing Motorcycle Safety Inspection (이륜자동차 안전검사제도 도입 시 교통사고절감효과 분석)

  • KOO, Jahun;JANG, Jinyoung;CHOO, Sang Ho
    • Journal of Korean Society of Transportation
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    • v.35 no.1
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    • pp.25-36
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    • 2017
  • The purpose of this study is to analyze traffic accident reduction effect of the introduction of motorcycle safety inspection. To analyze the effect of motorcycle inspection, we first estimate the number of defective motorcycles, and calculate the probability of accident occurrences caused by the defect using four year traffic accident data. Finally, we estimate the number of reduced accidents due to the introduction of the inspection and the total reduced accident cost. In this study, we analyzed three scenarios. It is analyzed that when the safety inspection system is applied to all motorcycles, 642 cases of traffic accidents and 325 million won per year of traffic accident costs are reduced. It is approximately 0.1% of 2014 total traffic accident cost of 26.5725 trillion won per year. It suggests that the cost of traffic accidents and traffic accidents due to vehicle factors are reduced when the safety inspection system is introduced.

Analysis of a Car Fire Case Deciding at Courts that a Fire Broke Out due to Manufacture Defect (제조결함이 법원에서 인정된 차량화재 사례의 분석)

  • Lee, Eui-Pyeong
    • Fire Science and Engineering
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    • v.30 no.3
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    • pp.94-103
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    • 2016
  • This study analyzed the cause and liability of a car fire. The car was purchased 1 year ago and had traveled 8,500 km. When the car stopped at a red right and was about to start when the light turned green, the car next to it sounded itsa horn. As a result, the driver stopped the car and found that there was a fire in the engine compartment, which the fire brigade subsequently extinguished. This car fire may have been caused by an electrical spark from a screw hook inserted into the battery + terminal. Therefore, the courts decided that the car owner or driver was not responsible for the fire, because the electrical spark from the hook that caused it resulted from the automaker's manufacturing defect.

On the Occurrence of Defects by Vehicle Type According to the Fire-fighting Vehicle Detailed Inspection (소방차량 정밀점검 분석에 따른 차종별 결함 발생에 관한 연구)

  • Lee, Jang Won;Han, Yong-Taek
    • Journal of the Society of Disaster Information
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    • v.17 no.1
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    • pp.112-119
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    • 2021
  • Purpose: This study is based on the detailed inspection data for the last 6 years of fire-fighting high ladder vehicles, fire-fighting inflected ladder vehicles, fire-fighting chemical vehicles and fire-fighting pump vehicles used in front-line fire departments. The purpose is to contribute to the technological development of fire-fighting vehicles by grasping the implementation status of each city and province, the rate of defects, and the occurrence of defects by year. Method: The implementation status by city and province, defect incidence rate, and defect occurrences by year were analyzed. Result: From 2012 to 2017, when the average of 230 or more overhaul vehicles was requested, the results of each city/province show slight fluctuations, but the number of defects gradually decreased due to the old fire-fighting vehicle replacement project and the response of fire vehicle manufacturers. Conclusion: In the case of fire-fighting ladders, the incidence rate of defects was found to be in the order of elevator device, electric device, ladder device, and pneumatic supply device. And in the case of the fire fighting ladder, it was confirmed that the incidence of defects appeared in the order of the refractive ladder, hydraulic cylinder, hydraulic oil, and pneumatic supply device. In the case of fire-fighting chemical vehicles, it was confirmed that defects occurred in the powder fire extinguishing device, fire pump, vacuum pump, and pneumatic supply device.

Utility Analysis for Reconfigurable Vehicle Embedded Systems (재구성 가능한 차량 임베디드 시스템의 유용도 분석)

  • Kang Minkoo;Park Kiejin;Park Suyong;Kim Sungsoo
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11a
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    • pp.868-870
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    • 2005
  • 임베디드 시스템의 신인도(Dependability)를 높이기 위해 기존 컴퓨터시스템에서 주로 사용되는 결함허용(Fault-tolerant) 기술을 그대로 적용시키는 것은 임베디드 시스템의 엄격한 비용 제약과 설치 공간의 부족 등의 이유로 적합하지 않다. 본 논문에서는 여분(Redundancy)을 최소 한도로 사용하는 차량 임베디드 시스템에 적합한 소프트웨어 결함허용 기법을 연구하였으며, 임베디드 시스템의 신인도를 반영할 수 있는 척도인 유용도(Utility) 척도를 정의하고, 임베디드 시스템의 결함허용을 위해 고려해야 할 각각의 재구성 조합에 대한 유용도 명가를 수행하였다. 이를 통해 차량 임베디드 시스템의 일부 부품이 결함 시, 가능한 최대의 유용도를 제공하는 구성조합으로 재구성 작업을 가능하게 하였다.

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A Study on Sensor Module and Diagnosis of Automobile Wheel Bearing Failure Prediction (차량용 휠 베어링의 결함 예측을 위한 센서 모듈 및 진단 연구)

  • Hwang, Jae-Yong;Seol, Ye-In
    • Journal of the Korea Convergence Society
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    • v.11 no.11
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    • pp.47-53
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    • 2020
  • There is a need for a system that provides early warning of presence and type of failure of automobile wheel bearings through the application of predictive fault analysis technologies. In this paper, we presented a sensor module mounted on a wheel bearing and a diagnostic system that collects, stores and analyzes vehicle acceleration information and vibration information from the sensor module. The developed sensor module and predictive analysis system was tested and evaluated thorough excitation test equipment and real automotive vehicle to prove the effectiveness.

Integrity Evaluation of Railway Bogie Using Infrared Thermography Technique (적외선 열화상 기술을 이용한 철도차량 대차 건전성 평가)

  • Kim, Jeong-Guk
    • Journal of the Korean Society for Nondestructive Testing
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    • v.31 no.2
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    • pp.144-149
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    • 2011
  • The lock-in thermography was employed to evaluate the integrity of railway bogies. Prior to the actual application on railway bogies, in order to assess the detectability of known flaws, the calibration reference panel was prepared with various dimensions of artificial flaws. The panel was composed of structural steel, which was the same material with actual bogies. Through lock-in thermography evaluation, the optimal frequency of heat source was determined for the best flaw detection. Based on the defects information, the actual defect assessments on railway bogie were conducted with different types of railway bogies, which were used for the current operation. In summary, the defect assessment results with thermography method showed a good agreement as compared with the conventional inspection techniques. Moreover, it was found that the novel infrared thermography technique could be an effective way for the inspection and the detection of surface defects on bogies since the infrared thermography method provided rapid and non-contact mode for the investigation of railway bogies.