BAYESIAN AND NON BAYESIAN APPROACH UNDER ACCELERATED LIFE TESTING FOR GENERALIZED INVERSE GAUSSIAN DISTRIBUTION
Reda Mohammad Hassan Refaey;
Abstract
With rapidly changing technologies, higher customer expectations for better
reliability, need rapid device development and the necessity and the creativeness of
more advanced technology in manufacturing field. In the traditional life data analysis,
time-to-failure (of a product, system or component) data, obtained under usage
conditions are analyzed in order to quantify the life characteristics and to make
prediction about products performance. In many situations and for many reasons, it
may be difficult or even impossible to obtain such life data. Therefore, in order to
observe product failures for analyzing their failure modes and understanding their life
characteristics in a short time, accelerated life tests (ALT) are developed.
reliability, need rapid device development and the necessity and the creativeness of
more advanced technology in manufacturing field. In the traditional life data analysis,
time-to-failure (of a product, system or component) data, obtained under usage
conditions are analyzed in order to quantify the life characteristics and to make
prediction about products performance. In many situations and for many reasons, it
may be difficult or even impossible to obtain such life data. Therefore, in order to
observe product failures for analyzing their failure modes and understanding their life
characteristics in a short time, accelerated life tests (ALT) are developed.
Other data
| Title | BAYESIAN AND NON BAYESIAN APPROACH UNDER ACCELERATED LIFE TESTING FOR GENERALIZED INVERSE GAUSSIAN DISTRIBUTION | Other Titles | الطرق البيزية واللابيزية لاختبارات الحياة المعجلة لتوزيع معكوس جاوس العام | Authors | Reda Mohammad Hassan Refaey | Issue Date | 2014 |
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