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Journal ArticleDOI

System Reliability Theory—Models and Statistical Methods

David J. Sherwin
- 01 Dec 1995 - 
- Vol. 44, Iss: 4, pp 543-544
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This article is published in The Statistician.The article was published on 1995-12-01. It has received 353 citations till now. The article focuses on the topics: Reliability theory.

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Modeling Quality of Service for Workflows and Web Service Processes

TL;DR: This paper presents a predictive QoS model that makes it possible to compute the quality of service for workflows automatically based on atomic task QoS attributes, and presents the implementation of the model for the METEOR workflow system.
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Comparison of some selected methods for accident investigation.

TL;DR: A selection of some important, recognised, and commonly used methods for investigation of accidents is given and the selected methods are compared according to important characteristics.
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Complex system reliability modelling with Dynamic Object Oriented Bayesian Networks (DOOBN)

TL;DR: A methodology that will help developing Dynamic Object Oriented Bayesian Networks (DOOBNs) to formalise such complex dynamic models, and has been tested, in an industrial context, to model the reliability of a water (immersion) heater system.
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Contemporary maintenance management: process, framework and supporting pillars

TL;DR: This paper characterizes factors that breed complexity in maintaining today's operations and proposes a framework in which to couch the various maintenance functions in an organization.
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Identifying high risk N-k contingencies for online security assessment

TL;DR: In this paper, a new method of forming a contingency list, based on substation configuration obtained from topology processing data and probability analysis of protection system failures, is proposed for online security assessment.