This paper presents a comparison between a number of different failure prediction methods for superplastic forming processes. Attention is limited here to superplastic forming of Ti-6Al-4V at 927C. The failure prediction methods considered include the flow localisation factor approach, forming limit curves based on void growth models, such as the Rice and Tracey model and the Cocks and Ashby mo...

This paper presents a comparison between a number of different failure prediction methods forsuperplastic forming processes. Attention is limited here to superplastic forming of Ti-6Al-4V at 927C. Thefailure prediction methods considered include the flow localisation factor approach, forming limit curvesbased on void growth models, such as the Rice and Tracey model and the Cocks and...

In this paper, the problem of predicting times to failure of units censored in multiple stages of progressively hybrid censoring for the proportional hazards family is considered. We discuss different classical predictors. The best unbiased predictor ($BUP$), the maximum likelihood predictor ($MLP$) and conditional median predictor ($CMP$) are all derived. As an example, the obtained results ar...

A lot of methods have been used in the past for the prediction of failure business like Discriminant analysis, Logit analysis, Quadratic Function etc. Although some of these methods lead to models with a satisfactory ability to discriminate between healthy and bankrupt, they endure some limitations, often due to the unrealistic assumption of statistical hypotheses. This is why we have undertake...

Background and Objectives: Arteriovenous fistula is a popular vascular access method for surgical treatment of hemodialysis patients. The method, however, is associated with a high rate of early failure varying in the range of 20-60%. Predicting early Arteriovenous fistula failure and its risk factors can help reduce its incidence, its hospitalization rate, and associated costs. In this study, ...

Reliability prediction methods for early design stages suffer from the lack of empirical failure data. However, expert knowledge and data from similar in-service components are information sources ready available. In this work, an expert elicitation procedure for failure rate prediction is presented. In contrast to direct elicitation procedures such as FMEA, relations to in-service components a...