The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 32-510
Full Name: Tont Gabriela
Position: Associate Professor
Age: ON
Sex: Female
Address: Oradea, Magheru st. Bl-M7, app.1
Country: ROMANIA
Tel: 0729-727839
Tel prefix: +40
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E-mail address: gtont@uoradea.ro
Other E-mails: gtont@rdslink.ro
Title of the Paper: Non-Stationary Stochastic Processes in Reliability Analysis of Complex Systems
Authors as they appear in the Paper: GABRIELA TONŢ, LUIGE VLĂDĂREANU, RADU ADRIAN MUNTEANU, DAN GEORGE TONŢ
Email addresses of all the authors: gtont@uoradea.ro, dtont@uoradea.ro, luigiv@arexim.ro, radu.a.munteanu@mas.utcluj.ro
Number of paper pages: 10
Abstract: Abstract: - Stationarity is an unrealistic prior assumption for the multi-state components of complex systems. The numerical characteristics of the nonstationary random responses of complex structure are developed in the paper considering the uncertainty and volatility of process transitions states. The appropriate functional levels of multi-state systems components are placed between the two extremes: defect (0%) and the nominal (100%) state, allowing any intermediate state transiting from the range of perfect functionality to complete failure. Time analysis interval of a multi-state system is characterized by intermediate states (states of partial success). The system availability parameters are also affected by the upstream, downstream processes involved in the operating regime. Considering system ageing effect, the paper proposes a stochastic model of assessing system probability of unidirectional or bidirectional transition states, applying the non-homogeneou!
s (non-stationary) Markov chain. The capability of time-dependent method to describe a multi-state system is based on a case study, assessing the operatial situation of studied system. The rationality and validity of the presented model are demonstrated via an engineering example, and the effect of randomness of the structural parameters is also examined.
Keywords: Key-Words: - nonstationarity, intermediate states, transition, multi-state systems, transition intensity matrix.
EXTENSION of the file: .doc
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