On-line reliability estimation for individual components using statistical degradation signal models

Quality and Reliability Engineering International

Volumn 18, Issue 1, 2002, Pages 53-73

  Chinnam, Ratna Babu ^a  

^a Wayne State University   (United States)

Author keywords

Degradation signal; Individual component reliability; On line reliability estimation; Parametric bootstrap; Polynomial regression

Indexed keywords

BITS; COSTS; CRACK PROPAGATION; DRILLING; FATIGUE OF MATERIALS; MAINTENANCE; MATHEMATICAL MODELS; POLYNOMIALS; POPULATION STATISTICS; REGRESSION ANALYSIS;

DEGRADATION SIGNAL; INDIVIDUAL COMPONENT RELIABILITY;

RELIABILITY THEORY;

EID: 0036125487     PISSN: 07488017     EISSN: None     Source Type: Journal    
DOI: 10.1002/qre.453     Document Type: Article

References (20)

1. Using degradation measures to estimate a time-to-failure distribution
2. Reliability prediction using nondestructive accelerated-degradation data: Case study on power supplies
3. Using degradation data to improve fluorescent lamp reliability
4. Statistical inference of a time-to-failure distribution derived from linear degradation data
5. Reliability analysis using the least-squares method in nonlinear mixed-effect degradation models
6. Estimation of time-to-failure distribution from a degradation model using fuzzy clustering
7. Testing for serial correlation in least-squares regression: II
8. Bootstrap methods for standard disturbances, confidence intervals, and other measures of statistical accuracy
9. A review of bootstrap confidence intervals
10. Bootstrap confidence intervals for a class of parametric problems
11. Real-time conditional reliability prediction from on-line tool performance data