원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.7 No.2
2014.03
pp.379-396
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
To effectively diagnose the deterministic faults of a LPRE ground-testing bed, the fault diagnosis method based on PCA and SOM is proposed. The dimension reduction process of PCA not only reduces data size, but also reduces noise influence. It also implements a visualization of fault status identification and fault variable orientation by SOM. Simulation and real fault data results indicate that the efficiency and identification ratio of PCA-SOM method are better than SOM method.
목차
Abstract
1. Introduction
2. Principle of Fault Diagnosis witt SOM
3. Principle of Fault Diagnosis witt PCA-SOM
4. Experiment and Results
4.1. Experiment and results, with fault data generated by the mechanism model
4.2. Experiment and results, with fault data generated by statistical model
4.3. Experiment and results with real fault data of XX1 LPRE ground-testing bed
5. Conclusions
Acknowledgements
References
1. Introduction
2. Principle of Fault Diagnosis witt SOM
3. Principle of Fault Diagnosis witt PCA-SOM
4. Experiment and Results
4.1. Experiment and results, with fault data generated by the mechanism model
4.2. Experiment and results, with fault data generated by statistical model
4.3. Experiment and results with real fault data of XX1 LPRE ground-testing bed
5. Conclusions
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보