A Solution to Weibull Prior Distribution of CNC Life-Span Using Information Entropy Theory

Abstract:

Article Preview

By using the information entropy theory, a solution to Weibull-small sample prior distribution of system reliability is proposed, which aims at solving the reliability estimation of high-end CNC. Firstly, the prior information is converted from subsystem level into system level based on entropy theory. Then, the prior distribution is solved with the constrained maximum entropy method. Finally, multi-information is fused based on the entropy weighs. It is proved by a case example that this method can obtained the prior distribution under Webull-small sample effectively.

Info:

Periodical:

Edited by:

K.M. Gupta

Pages:

489-494

Citation:

Z. J. Yang et al., "A Solution to Weibull Prior Distribution of CNC Life-Span Using Information Entropy Theory", Advanced Materials Research, Vol. 548, pp. 489-494, 2012

Online since:

July 2012

Export:

Price:

$38.00

[2] Y. M. Xu, C. Deng and J. Wu Jun: An reliability assessment method based on bootstrap, Machinery Dsign & Manufacture. Vol. 3 (2010), pp.105-107.

[3] S. L. Zhu, S. X. Peng and M. Dong: Reliability evaluation of missile weapon systems with Weibull distribution. Electronic Product Reliability and Environmental Testing. Vol. 28(01)(2010), pp.20-23.

[4] Y. C. Sun: Reliability synthesis assessment based on the information theory for sophisticated products. Journal of Applied Sciences. Vol. 19(2) (2001), pp.113-116.

[5] D. Z. You et al: Reliability estimation of CNC system based on Bayes method. China Mechanical Engineering. Vol. 22(3)(2011), pp.314-317.

[6] W. X. Kang, X. S. Gu and X. L. Huang: Bootstrap maximum entropy method application in estimating fall-probability of missiles under small-sampling condition. Journal of the Academy of Equipment Command & Technology. Vol. 18(3) (2007) pp.109-113.

[7] G. Ling Guang, Y. Dai and X. Li: Maximum entropy prior information solution based on second moment and its application in NC system Reliability Assessment. China Mechanical Engineering. Vol. 21(12)( 2010), pp.1466-1468.

Fetching data from Crossref.
This may take some time to load.