New likelihood based goodness-of-fit tests for the Weibull distribution

Bouissou, Marc; Chraibi, Hassane; Chubarova, I

doi:10.1201/b15938-177

Cited by 4 publications

(4 citation statements)

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“…"Heated Room" is the test case reported in [4,5]. This case is about a room which contains a heater device equipped with a thermostat.…”

Section: Case Study: Heated Roommentioning

confidence: 99%

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A Pragmatic Approach for Measuring Maintainability of DPRA Models

Rychkova,

Boissier,

Chraibi

et al. 2017

Preprint

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Dynamic Probabilistic Risk Assessment (DPRA) is a powerful concept that is used to evaluate design and safety of complex industrial systems. A DPRA model uses a conceptual system representation as a formal basis for simulation and analysis. In this paper we consider an adaptive maintenance of DPRA models that consist in modifying and extending a simplified model to a real-size DPRA model. We propose an approach for quantitative maintainability assessment of DPRA models created with an industrial modeling tool called PyCATSHOO. We review and adopt some metrics from conceptual modeling, software engineering and OO design for assessing maintainability of PyCATSHOO models. On the example of well-known "Heated Room" test case, we illustrate how the selected metrics can serve as early indicators of model modifiability and complexity. These indicators would allow experts to make better decisions early in the DPRA model development life cycle.

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“…"Heated Room" is the test case reported in [4,5]. This case is about a room which contains a heater device equipped with a thermostat.…”

Section: Case Study: Heated Roommentioning

confidence: 99%

“…To validate this assumption, we apply selected metrics to assess and compare two designs of the Heated Room system. Heated Room is a well-known test case reported in [4,5]. It describes a system that consists of a room and a heater that can switch on and off to maintain the ambient temperature.…”

Section: Introductionmentioning

confidence: 99%

A Pragmatic Approach for Measuring Maintainability of DPRA Models

Rychkova,

Boissier,

Chraibi

et al. 2017

Preprint

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“…Thanks to a comparison between various existing modeling languages for PDMP done in (Bouissou and Jankovic 2012) and (Bouissou et. al.…”

Section: Modeling In Practicementioning

confidence: 99%

“…The test case we are going to use to illustrate our ideas was first used to screen a number of potential tools and approaches adapted to dynamic reliability (Bouissou and Jankovic 2012), (Bouissou et al 2013) It has the advantage that it is easy to understand. Although this test-case is very simple it has been quite difficult to solve it with tools that were initially designed only for modeling deterministic systems (and this includes Modelica tools).…”

Section: Preamblementioning

confidence: 99%

Efficient Monte Carlo simulation of stochastic hybrid systems

Bouissou¹,

Elmqvist²,

Otter³

et al. 2014

Linköping Electronic Conference Proceedings

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International audienceThis paper proposes an efficient approach to model stochastic hybrid systems and to implement Monte Carlo simulation for such models, thus allowing the calculation of various probabilistic indicators: reliability , availability, average production, life cycle cost etc. Stochastic hybrid systems can be considered, most of the time, as Piecewise Deterministic Markov Processes (PDMP). Although PDMP have been long ago formalized and studied from a theoretical point of view by Davis (Davis 1993), they are still difficult to use in real applications. The solution proposed here relies on a novel method to handle the case when the hazard rate of a transition λ depends on continuous variables of the system model, the use of an extension of Modelica 3.3 and on Monte Carlo simulation. We illustrate the approach with a simple example: a heating system subject to failures, for which we give the details of the modeling and some calculation results. We compare our ideas to other approaches reported in the literature

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