Paper Title:
Weibull-Distribution-Based Method of Bayesian Reliability Evaluation for Machining Center
  Abstract

For the machining centers which have distinguishing features of small samples and high-reliability, we proposed a Weibull-distribution-based method of Bayesian evaluation to calculate their reliability in this paper. The reliability test platform for machining centers was built and a reliability testing method which was based on the impellers’ machining process was adopted in order to get the field testing samples. Then we selected the machining centers’ reliability of a fixed time as the random variable to determine its prior distribution. The posterior distribution of products’ reliability could be obtained by combining the prior distribution and the field test samples with the application of Bayesian method. Finally, we could calculate the lower confidence limit for the products’ reliability under a given confidence level and the reliability’s mean under typical mission time.

  Info
Periodical
Advanced Materials Research (Volumes 317-319)
Chapter
Advanced NC Techniques and Equipment
Edited by
Xin Chen
Pages
1949-1953
DOI
10.4028/www.scientific.net/AMR.317-319.1949
Citation
N. H. Yu, Z. X. Zhang, Z. Wang, X. P. Zhang, "Weibull-Distribution-Based Method of Bayesian Reliability Evaluation for Machining Center", Advanced Materials Research, Vols. 317-319, pp. 1949-1953, 2011
Online since
August 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Han Ming
Abstract:Evaluation method of reliability parameter estimation needs to be improved effectively with the advance of science and technology. This paper...
601
Authors: Yu Lian Cui, Wei Wu
Abstract:When assessing the reliability parameters, the traditional method is to deal with a large quantity of data obtained through test and to get...
587
Authors: Yan Feng Tang, Hui Juan Feng, Sen Wang
Chapter 8: System Modeling and Simulation
Abstract:With the development of science and technology, the quality of the product is better and better. Consequently, in the time-ended life tests,...
4747
Authors: Qiu Ying Li, Hao Nan Tong
Chapter 3: Detection, Monitoring and Image Processing Technologies, Information Technologies, Control and MEMS
Abstract:For highly reliable software, it is expensive, time consuming or even infeasible to perform reliability testing by traditional Bayesian-based...
513
Authors: Jing Xu, Chen Lu, Hong Mei Liu
Chapter 2: Advanced Design for Thermal and Mechanical Engineering
Abstract:Real-time life prediction for rolling bearings contributes to maintenance decision-making and optimization based on the health state....
431