Failure of many engineering systems usually results from a gradual and irreversible
accumulation of damage, a degradation process. Most degradation processes can be …

Nonlinearity and stochasticity are two important factors contributing to the degradation
processes of complicated systems, and thus have to be taken into account in stochastic …

Light‐emitting diode (LED) lamp has received great attention as a potential replacement for
the more commercially available lighting technology, such as incandescence and …

The methods commonly used for degradation analysis deduce the lifetime distribution of a
product from the distribution of the random parameters in the degradation path model for the …

Degradation experiments are usually used to assess the lifetime distribution of highly
reliable products, which are not likely to fail under the traditional life tests or accelerated life …

Degradation test is a useful technique to provide information about the lifetime of highly
reliable products. We obtain the degradation measurements over time in such a test. In …

Acceleration is widely used in reliability tests to yield sufficient reliability information within a
short time frame. From the statistical point of view, the cost of acceleration is that additional …

The concept of the industrial internet of things (IIoT) provides the foundation to apply data-
driven methodologies. The data-driven predictive models of reliability estimation can …

With very few exceptions, most contemporary reliability engineering methods are geared
towards estimating a population characteristic (s) of a system, subsystem or component. The …

The experimental determination of the failure time probability distribution of highly reliable
components, such as those used in nuclear and aerospace applications, is intrinsically …