Traditional time-based reliability assessment methods evaluate the reliability of a multi-state
system (MSS) from a population or a statistical perspective that the reliability of a system is …

Traditional time-based reliability assessment methods compute reliability measures of a
multistate system (MSS) purely based upon historical time-to-failure data collected from a …

This paper develops a Bayesian framework to assess the reliability and performance of multi-
state systems (MSSs). An MSS consists of multiple multi-state components of which the …

Multi-state system reliability theory has received considerable attention in recent years, as it
is able to characterize the multi-state nature and complicated deterioration process of …

Reliability analysis of complex systems is a critical issue in reliability engineering. Motivated
by practical needs, this paper investigates a Bayesian approach for system reliability …

As multi-state system reliability models are capable of characterizing the multi-state nature of
engineered systems in deteriorating process, they have received considerable concerns in …

A multi-state system (MSS) employs more than two discrete states to indicate different
performance rates. Methods using a universal generating function (UGF) and Monte Carlo …

Traditionally, equipment reliability assessment is based on failure data from a population of
similar equipment, somewhat giving an average description of the reliability performance of …

Multi-state system (MSS) reliability modeling is a paradigm that allows both systems and
components to exhibit more than two performance levels. While several researchers have …

This paper presents a new general method for evaluating the reliability function and the
mean residual life of degrading systems subject to condition monitoring and random failure …