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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2011.11
- 수록면
- 997 - 1,004 (8page)
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이 논문의 연구 히스토리 (3)
2011
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A fault detection algorithm of a charge and discharge system to ensure the safe use of hybrid electric vehicle is proposed in this paper. This algorithm can be used as a complementary way to existing fault detection technique for a charge and discharge system. The proposed algorithm uses a SVDD technique, which additionally utilizes two methods for learning a large amount of data; one is to incrementally learn a large amount of data, the other one is to remove the data that does not affect the next learning using a new data reduction technique. Removal of data is selected by using lines connecting support vectors. In the proposed method, the data processing speed is drastically improved and the storage space used is remarkably reduced than the conventional methods using the SVDD technique only. A battery data and speed data of a commercial hybrid electrical vehicle are utilized in this study. A fault boundary is produced via SVDD techniques using the input and output in normal operation of the system without using mathematical modeling. A fault detection simulation is performed using both an artificial fault data and the obtained fault boundary via SVDD techniques. In the fault detection simulation, fault detection time via proposed algorithm is compared with that of the peak-peak method. Also the proposed algorithm is revealed to detect fault in the region where conventional peak-peak method is never able to do.
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참고문헌 (12)
참고문헌 신청
1. [학술대회논문] - Na, S. G. / 2010 / A Study on the Hybrid Electric Vehicle Fault Diagnosis Algorithm / The Korean Society of Automotive Engineers Conference : 2935 ~ 2942
2. [단행본] - Joo, K. J. / 2009 / Technical Trend of Electric Vehicle / The Korean Institute of Electrical Engineers : 947 ~ 948
3. [학술대회논문] - Park, S. G. / 2007 / Fault Signal Analysis of the Automotive Components Using Experimental Method, Part 1-consideration of the Engine Signals / Proceedings of the KSNVE Annual Autumn Conference : 238 ~ 242
5. [학술대회논문] - Lee, K. H. / 2009 / System-diagnosis Algorithm by Using MPCA and ICA / Proceedings of the KSNVE Annual Autumn Conference : 213 ~ 214
6. [학술대회논문] - Ko, K. W. / 2003 / Abnormal Diagnostics of Vibration System Using SVM / Proceedings of the KSNVE Annual Spring Conference : 932 ~ 937
2. [단행본] - Joo, K. J. / 2009 / Technical Trend of Electric Vehicle / The Korean Institute of Electrical Engineers : 947 ~ 948
3. [학술대회논문] - Park, S. G. / 2007 / Fault Signal Analysis of the Automotive Components Using Experimental Method, Part 1-consideration of the Engine Signals / Proceedings of the KSNVE Annual Autumn Conference : 238 ~ 242
5. [학술대회논문] - Lee, K. H. / 2009 / System-diagnosis Algorithm by Using MPCA and ICA / Proceedings of the KSNVE Annual Autumn Conference : 213 ~ 214
6. [학술대회논문] - Ko, K. W. / 2003 / Abnormal Diagnostics of Vibration System Using SVM / Proceedings of the KSNVE Annual Spring Conference : 932 ~ 937
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