Reliability Engineering and Risk Analysis

Modarres, Mohammad

doi:10.1201/9781420008944

Cited by 134 publications

(79 citation statements)

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“…Reliability engineering focuses on probabilistic assurance of performance of a system under certain circumstances [27].…”

Section: 3mentioning

confidence: 99%

Exploring Natural Strategies for Bio-Inspired Fault Adaptive Systems Design

Arroyo¹,

Huisman²,

Jensen³

2018

Preprint

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Fault adaptive design seeks to find the principles and properties that enable robustness, reliability and resilience to implement those features into engineering products. In nature, this characteristic of adaptability is the fundamental trait that enables survival. Utilizing adaption strategy is a new area of research exploration for bio-inspired design. In this paper we introduce a tool for bio-inspired design for fault adaption. Further we discuss insights from using this tool in a undergraduate design experiment. The goal of the tool is to assist designers to develop fault adaptive behaviors in engineering systems using nature as inspiration. This tool is organized as a binary tree where branches that represent the specific details of how an organism achieves an adaptive behavior or characteristic.Results from an initial study indicate, for the specific challenge of designing fault adaption into a system, a strategy based method can provide designers with innovative analogies and help provide the details needed to bridge the gap between analogy and engineering implementation.

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“…Reliability engineering focuses on probabilistic assurance of performance of a system under certain circumstances [27].…”

Section: 3mentioning

confidence: 99%

Exploring Natural Strategies for Bio-Inspired Fault Adaptive Systems Design

Arroyo¹,

Huisman²,

Jensen³

2018

Preprint

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“…A fault tree is, on the one hand, a visualization tool that shows causes (failures) of a top event (in this case release of hazardous material); on the other hand, an event tree is a visualization tool that helps to identify outcomes due to an initiating event. Bow tie graphs combine fault and event trees to carry out frequency analysis (Modarres et al, 2010). Outcome frequencies are calculated from failures rates and probabilities of events.…”

Section: Frequency Analysismentioning

confidence: 99%

A mathematical programming model for optimal layout considering quantitative risk analysis

Medina-Herrera

Jiménez‐Gutiérrez

Grossmann

2014

Computers & Chemical Engineering

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Safety and performance are important factors in the design and operation of chemical plants. This paper describes the formulation of a mixed integer nonlinear programming model for the optimization of plant layout with safety considerations. The model considers a quantitative risk analysis to take safety into account, and a bowtie analysis is used to identify possible catastrophic outcomes. These effects are quantified through consequence analyses and probit models. The model allows the location of facilities at any available point, an advantage over grid-based models. Two case studies are solved to show the applicability of the proposed approach.

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“…17 Primarily, importance measures have been introduced to measure the influence of particular components on the overall reliability of the system. 18,19 Specific CIMs include risk reduction worth (RRW), an index that quantifies the potential damage to a system caused by a particular component failure, and the reliability achievement worth (RAW) of a component, or the maximum proportion increase in system reliability generated by that component. 20 This work will focus on the Birnbaum importance measure, among the most widely used importance measures in reliability engineering.…”

Section: Importance Measuresmentioning

confidence: 99%

Achieved availability importance measure for enhancing reliability-centered maintenance decisions

Gravette

Barker

2014

Proceedings of the Institution of Mechanical Engineers, Part O:

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An effective defense strategy requires aircraft, among other weapons systems, to be available and ready for use when circumstances deem necessary. This article offers a set of importance measures to identify the critical components in a system from their influence on system-achieved availability, a common Department of Defense availability calculation that is a ratio of mean time between maintenance and total system time, including mean maintenance time. With these measures, more effective maintenance plans, including inspection and supply inventory, can focus on those components that more significantly impact achieved availability. A decision-making formulation results from these component importance measures, and an example based on a US Air Force system illustrates the modeling contributions.

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Reliability Engineering and Risk Analysis

Cited by 134 publications

References 0 publications

Exploring Natural Strategies for Bio-Inspired Fault Adaptive Systems Design

Exploring Natural Strategies for Bio-Inspired Fault Adaptive Systems Design

A mathematical programming model for optimal layout considering quantitative risk analysis

Achieved availability importance measure for enhancing reliability-centered maintenance decisions

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