철도차량 하부 부품 이상 감지를 위한 적외선 열화상 분석 방법

다국어 초록 (Multilingual Abstract)

IR camera has been used widely for the temperature measurement and fault detection of the moving bodies and rotating bodies. The high-speed performance of the IR camera and a reliable thermal analysis method are required for the condition monitoring of the railway vehicle running at high speed. The effective fault detection method using a thermal image analysis could make a real time monitoring of the high speed train possible. Therefore the investigation of the performance of the thermal image analysis method was performed to find the effective thermal image data analysis method. The results suggested that the comparison of the characteristics of the temperatures obtained at different conditions and a continuous temperature subtraction method could be used as a useful analysis method for detecting abnormal temperature condition and histogram equalization could also help to enhance the fault detectability by increasing the contrast of the thermal image.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 실험방법 및 관련이론
• 2.1 온도 변화 측정 실험방법
• 2.2 이미지 차감법
• 3. 실험 결과
• 3.1 온도 변화 특성 분석
• 3.2 연속적 이미지 차감을 이용한 분석 결과
• 3.3 토론 및 향후 연구
• 4. 결론
• References

참고문헌 (Reference)

1 A. Gleiter, "Ultrasound lockin thermography for advanced depth resolved defect selective imaging" 2006

2 X. Y. Han, "Thermosonics: Detecting cracks and adhesion defects using ultrasonic excitation and infrared imaging" 76 (76): 151-162, 2001

3 I. Chang, "Resonator break hose inspection system using vision system" 8 (8): 27-32, 2006

4 D. Almond, "Infrared thermographic detection and characterization of impact damages in carbon fiber plastics: round robin test result" 1998

5 Michael Vollmer, "Infrared Thermal Imaging" WILEY-VCH 73-77, 2010

6 Michael Vollmer, "Infrared Thermal Imaging" WILEY-VCH 189-190, 2010

7 강부병, "Excitation Characteristics of a PZT Exciter for Thermosonic Non-destructive Testing of Steel Plates" 한국기계기술학회 15 (15): 645-652, 2013

8 Bu-Byoung Kang, "Condition monitoring and Diagnostics of machines–Category I according to the ISO18436-7" KCI-MD 146-152, 2010