Long-Term Life Test Data Modeling and Field Correlation - An HDD Experience  
Author Feng-Bin Sun


Co-Author(s) Yao Zhang


Abstract Not every company can afford or is willing to invest in long-term life testing (LLT) due to time and cost constraint. But such test can provide very valuable insight about product field behavior during its lifetime. Authors of this paper present a case study on hard disk drive (HDD) long-term life test data analysis. In order to deal with the non-monotonic hazard rate behavior, the bi-modal mixed life distribution and bi-modal competing failure modeling are applied to fit the time to failure data. The model parameters′ estimation, their physical implications, and field long-term reliability predictions using these two approaches are discussed and compared. The recommendations are given regarding the applicability of each model from engineering application perspective.


Keywords Long-term life test, Bathtub curve, Competing failure mode modeling, Mixed life distribution modeling, Parameter sensitivity, Field correlation
    Article #:  22362
Proceedings of the 22nd ISSAT International Conference on Reliability and Quality in Design
August 4-6, 2016 - Los Angeles, California, U.S.A.