The Fault Diagnose of Advanced Amphibious Assault Vehicle Fan Pump Based on Principal Component Regression

Abstract:

The fan pump hydraulic system of amphibious assault vehicle is prone to fault , an pump leakage model is established by principal component regression. This new modeling strategy can effectively extract on the components which have a strong explanatory role of the dependent variable, it achieves regression modeling in multiple arguments correlation conditions, and allows the inclusion of all the original variables. This model get rid of drawback that the least squares regression can not effectively identify and eliminate the influence of the multiple relativity among factors.

• Periodical: Advanced Materials Research (Volumes 860-863)
• Pages: 1582-1585
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.860-863.1582
• Online since: December 2013
• Authors: Huan Zhan, Yu Cai Dong, Liang Hai Yi, Su Na Cao, Qi Jin, Yan Xia Liu
• Keywords: Advanced Amphibious Assault Vehicle (AAAV), Fan Pump, Fault Diagnose, Principal Component Regression

References

[1] Feng Sheng, Weihong Cheng, Zhiqiang Yao. Journal of Academy of Armored Force Engineering, 2009，23(4)：40-44. (In Chinese).

[2] Aihong Meng, Xiangbo Liu, Zhiqiang Yao, Shousong Han, Pengcheng Jiang. Chinese Hydraulic and Pneumatic, 2008, 9: 75-77. (In Chinese).

[3] Zhijian Huang, Zhou Yuan. Fault Diagnosis and Monitoring Technology of Hydraulic Equipment [M]. Beijing: Mechanical Industry Press, 2006. (In Chinese).

[4] Zhaofa Zhou, Feng Li . Machine Tool and Hydraulic, 2005, 3: 123-124. (In Chinese).

[5] Huiwen Wang, Jie Wang, Haijun Huang. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(6): 661-664. (In Chinese).

[6] Xuemei Li, Suqing Zhang. Computer Engineering and Applications, 2009, 45(19): 204-206. (In Chinese).

[7] Runchu Zhang. Multivariate Statistical Analysis [M]. Beijing: Science Press，2006. (In Chinese).

[8] Congde Lu, Chunmei Zhang, Taiyi Zhang, Wei Zhang. Neurocomputing, 2007, 1: 904–911.