Regression approach to tire reliability analysis

Reliability Engineering and System Safety

Volumn 78, Issue 3, 2002, Pages 267-273

  Krivtsov, V V ^a   Tananko, D E ^a   Davis, T P ^a  

^a FORD MOTOR COMPANY   (United States)

Author keywords

Hazard; Multiple regression; Reliability; Survival regression

Indexed keywords

FAILURE ANALYSIS; GEOMETRY; REGRESSION ANALYSIS; RELIABILITY;

RELIABILITY ANALYSIS;

SYSTEMS SCIENCE;

EID: 0036891652     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0951-8320(02)00169-2     Document Type: Article

References (9)

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2. Davis T.P., Krivtsov V.V. The role of statistical science in firestone tire failure root cause investigation. In preparation.
3. Tananko D.E. A nondestructive monitoring and alarm system for high speed tire test. Ford patent pending; 2002.
4. Cox D.R. Regression models and life tables (with discussion). J R Stat Soc B. 34:1972;187-202.
5. Cox D.R. Partial likelihood. Biometrica. 62:1975;269-276.
6. Baldwin J.M. Correlation of physical and chemical properties of artificially aged tires vs. field aged tires. Part 1. In preparation.
7. South J.T. Mechanical properties and durability of natural rubber compounds and composites. PhD Thesis. Virginia Polytechnic Institute and State University, Blacksburg; 2001.
8. Moet A., Chudnovsky A. Fatigue crack propagation in rubber compounds. Proceedings of the High Technology Conference on High Temperature Polymers and Their Uses, Cleveland; 1989. p. 269.
9. Lee M.P., Moet A. Analysis of fatigue crack propagation in NR/BR rubber blend. Rubber Chem Technol. 66:1993;304-316.