k ‐step stage life testing

Stage Life Testing with Missing Stage Information - an EM-Algorithm Approach

We consider a stage life testing model and assume that the information at which levels the failures occurred is not available. In order to find estimates for the lifetime distribution parameters, we propose an EM-algorithm approach which interprets the lack of knowledge about the stages as missing information. Furthermore, we illustrate the implementation difficulties caused by an increasing nu...

A Bayes approach to step-stress accelerated life testing

Conclusions This article develops a Bayes model for step-stress accelerated life testing. The failure times at each stress level are exponentially distributed, but the specification of strict adherence to a time transformation function is not required. Rather, prior information is used to define indirectly a multivariate prior distribution for the failure rates at the various stress levels. Ou...

Design of Optimum Simple Step-Stress Accelerated Life Testing Plans

Accelerated life testing (ALT) is widely conducted to obtain failure-time data in a much shorter time and to make inference about reliability at normal conditions. The accuracy of the reliability prediction is dependent on well-designed ALT plans. A stepstress ALT allows the test condition to change at a given time or upon the occurrence of a specified number of failures. In this paper, we prop...

Testing Step-nc Implementations

STEP (STandard for the Exchange of Product model data, ISO 10303) data for numerical control, or STEP-NC, is intended to provide full product and process data interoperability between computer-aided manufacturing systems and machine tool controllers. Numerous prototype and several commercial implementations of STEP-NC are currently being developed. Testing is an essential step toward ensuring c...

On the Maximal Degree of the K-Step Obrechkoff’s Method