Munich: CRgraph, 2012. — 150 p.
The development of reliable products is taking place under evermore stringent constraints - ever increasing complexity, greater functionality and more extensive product liability. The aim should therefore be to create reliability as a preventative measure as early as during the development phase. This study concerns itself with statistical methods, especially those formulated by Weibull. The Weibull analysis is the classic reliability analysis or the classic life data diagram. The "characteristic life" as well as a defined "failure probability“ of certain components can be derived from the so-called Weibull plot. The distribution form used in the Weibull calculation is especially suited to this field of application. In general terms, the Weibull distribution is derived through exponential distribution.
Software Visual-XSEL 12.0
Fundamentals
Other characteristic variables
Comparison of 2 distributions
Mixed distribution
Repeatedly failed components
Test for Weibull distribution
Monte Carlo simulation
Overall reliability of systems
Six-sigma
Reliability growth management
Service life prognosis from degree of wear
Tests with normal load
Tests without failures - Success run
Service life in the stress-cycle (Woehler) diagram
Accelerated life testing
Temperature models
Highly accelerated life tests
Prognosis of failures not yet occurred
Contours
Appendix
Literature