摘要
介绍了适合数控机床可靠性增长的增长模型。为确定准确可靠的模型参数,引入适用于小子样抽样试验的Bayes参数确定算法,并通过实例证明,应用Bayes算法所确定的模型参数比传统的算法估计值,具有更高的可靠性和准确性。
The reliability growth model of CNC machine tools was introduced. The Bayes algorithm which is good for small sample experimentation was applied to determine the exact and reliable model parameters. It is proved by an example that the estimated value using this algorithm is much more precise and credible than the results got by the tradition algorithm.
出处
《机床与液压》
北大核心
2008年第F05期275-277,共3页
Machine Tool & Hydraulics
基金
国家自然科学基金项目(50705039)
