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Superposition of Power-law Models for Hardware/Software System Reliability Data Analysis
Högskolan i Gävle, Institutionen för teknik och byggd miljö, Ämnesavdelningen för industriell ekonomi.
2003 (engelsk)Inngår i: International Journal of Reliability, Quality and Safety Engineering (IJRQSE), ISSN 0218-5393, Vol. 10, nr 2, s. 121-130Artikkel i tidsskrift (Annet vitenskapelig) Published
Abstract [en]

One of the widely used NHPP models in reliability is the so-called power-law model, also known as the Duane model. A power-law model can be applied in analyzing failure data of both software and hardware systems. Nevertheless, the power-law model is no longer applicable to describe the failure behavior when a hardware/software embedded system is concerned since the failures can come from both hardware and software. How to analyze the failure data of this type is still a problem to study and a new type of model is needed to develop. In this paper, we consider the superposition of the power-law models (SPLM) as one candidate to describe the failure behaviors of hardware/software systems. The characteristics of SPLMs are thoroughly studied. It is shown that an SPLM has the intensity function that can be increasing, decreasing, increasing-then-decreasing or decreasing-then-increasing. Specifically, the identification method of the superposition of power-law processes is provided by using the TTT-plot technique. The TTT-transform of a superposition of power-law processes is DFR-like. Therefore, the conditional TTT-plot should present a convex pattern if the system failures follow a superposition process by a few power-law processes. This provides us an easy way to identify the model when the testing data is available.

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2003. Vol. 10, nr 2, s. 121-130
Identifikatorer
URN: urn:nbn:se:hig:diva-1291DOI: 10.1142/S0218539303001044OAI: oai:DiVA.org:hig-1291DiVA, id: diva2:117953
Tilgjengelig fra: 2007-02-13 Laget: 2007-02-13 Sist oppdatert: 2018-03-13bibliografisk kontrollert

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