Abstract
The present research discusses four ‘physical’ models of system and calculates thereliability function during system’s aging and maturity on the basis of the system structure.
Highlights
Attempts to develop a fundamental quantitative theory of aging, mortality, and lifespan have deep historical roots
Aging is the accelerated decay of a system because additional phenomena join to the maturity decaying and worsen the behavior of systems. Because of this pair of parallel phenomena, I formalize the decay of S during maturity, and later shall tackle the system aging
Using (1) we obtain that the reliability function follows the exponential-exponential distribution
Summary
Attempts to develop a fundamental quantitative theory of aging, mortality, and lifespan have deep historical roots. Studies upon aging started with the earliest statistical studies on human mortality and later embraced both biological and artificial systems. At the other side ‘programmed aging theories’ hold aging is due to something inside an organism's control mechanisms that forces elderliness and deterioration [2], [3]. The latter school is particular popular in the biological realm, while the former is formally sustained by the reliability theory. Reliability theory seems to be a great method to obtain a general theory of aging and degradation of technical and biological systems, and interesting efforts have been conducted to define accurate statistical models of aging [4]. G =1 where S has n substates and Hig is the entropy of the generic substate (or component) g
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