Validation Metric of Degradation Model with Dynamic Performance

doi:10.1007/s12204-015-1626-7

上海交通大学学报（英文版） ›› 2015, Vol. 20 ›› Issue (3): 302-306.doi: 10.1007/s12204-015-1626-7

Validation Metric of Degradation Model with Dynamic Performance

YANG Chun-boa (阳纯波), ZENG Sheng-kuia,b (曾声奎), GUO Jian-bina,b* (郭健彬)

(a. School of Reliability and Systems Engineering; b. Science and Technology on Reliability and Environment Engineering Laboratory, Beihang University, Beijing 100191, China)

发布日期:2015-06-11
通讯作者: GUO Jian-bin(郭健彬) E-mail:guojianbin@buaa.edu.cn

Validation Metric of Degradation Model with Dynamic Performance

YANG Chun-boa (阳纯波), ZENG Sheng-kuia,b (曾声奎), GUO Jian-bina,b* (郭健彬)

(a. School of Reliability and Systems Engineering; b. Science and Technology on Reliability and Environment Engineering Laboratory, Beihang University, Beijing 100191, China)

Published:2015-06-11
Contact: GUO Jian-bin(郭健彬) E-mail:guojianbin@buaa.edu.cn

摘要/Abstract

摘要： With more and more attention on degradation process, we need the degradation model to be accurate all over the time rather than only at some specific moments. However, the traditional validation metric only estimates difference of static features. A validation method proposed in this paper uses hypothesis testing to identify whether the distributions of experimental measurements and simulation results are consistent. Then, based on the deviation between sample means, a global validation metric which reflects the difference of degradation process between computational model and physical system all over the service time is derived from the statistics of deviation between sample means. Furthermore, curve fit method for discrete experimental measurements is introduced. The case of electro-hydraulic servo valve is studied, and the results show that the proposed validation metric is appropriate for the validation of degradation model with dynamic performance output.

关键词: validation, degradation model, dynamic performance

Abstract: With more and more attention on degradation process, we need the degradation model to be accurate all over the time rather than only at some specific moments. However, the traditional validation metric only estimates difference of static features. A validation method proposed in this paper uses hypothesis testing to identify whether the distributions of experimental measurements and simulation results are consistent. Then, based on the deviation between sample means, a global validation metric which reflects the difference of degradation process between computational model and physical system all over the service time is derived from the statistics of deviation between sample means. Furthermore, curve fit method for discrete experimental measurements is introduced. The case of electro-hydraulic servo valve is studied, and the results show that the proposed validation metric is appropriate for the validation of degradation model with dynamic performance output.

Key words: validation, degradation model, dynamic performance

中图分类号:

TB 114.3

YANG Chun-boa (阳纯波), ZENG Sheng-kuia,b (曾声奎), GUO Jian-bina,b* (郭健彬). Validation Metric of Degradation Model with Dynamic Performance[J]. 上海交通大学学报（英文版）, 2015, 20(3): 302-306.

YANG Chun-boa (阳纯波), ZENG Sheng-kuia,b (曾声奎), GUO Jian-bina,b* (郭健彬). Validation Metric of Degradation Model with Dynamic Performance[J]. Journal of shanghai Jiaotong University (Science), 2015, 20(3): 302-306.

参考文献 6

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[5]	Bachoc F, Bois G, Garnier J, et al. Calibration and improved prediction of computer models by universal Kriging [J]. Nuclear Science and Engineering, 2014,176(1): 81-97.
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Validation Metric of Degradation Model with Dynamic Performance

Validation Metric of Degradation Model with Dynamic Performance

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