Risk-based reliability analysis and generic principles for risk reduction:
For a long time, conventional reliability analyses have been oriented towards selecting the more reliable system and preoccupied with maximising the reliability of engineering systems. On the basis of counterexamples however, we demonstrate that selecting the more reliable system does not necessaril...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier
2007
|
| Schlagworte: | |
| Online-Zugang: | FLA01 URL des Erstveröffentlichers |
| Zusammenfassung: | For a long time, conventional reliability analyses have been oriented towards selecting the more reliable system and preoccupied with maximising the reliability of engineering systems. On the basis of counterexamples however, we demonstrate that selecting the more reliable system does not necessarily mean selecting the system with the smaller losses from failures! As a result, reliability analyses should necessarily be risk-based, linked with the losses from failures. Accordingly, a theoretical framework and models are presented which form the foundations of the reliability analysis and reliability allocation linked with the losses from failures. An underlying theme in the book is the basic principle for a risk-based design: the larger the cost of failure associated with a component, the larger its minimum necessary reliability level. Even identical components should be designed to different reliability levels if their failures are associated with different losses. According to a classical definition, the risk of failure is a product of the probability of failure and the cost given failure. This risk measure however cannot describe the risk of losses exceeding a maximum acceptable limit. Traditionally the losses from failures have been 'accounted for' by the average production availability (the ratio of the actual production capacity and the maximum production capacity). As demonstrated in the book by using a simple counterexample, two systems with the same production availability can be characterised by very different losses from failures. As an alternative, a new aggregated risk measure based on the cumulative distribution of the potential losses has been introduced and the theoretical framework for risk analysis based on the concept potential losses has also been developed. This new risk measure incorporates the uncertainty associated with the exposure to losses and the uncertainty in the consequences given the exposure. For repairable systems with complex topology, the distribution of the potential losses can be revealed by simulating the behaviour of systems during their life-cycle. For this purpose, fast discrete event-driven simulators are presented capable of tracking the potential losses for systems with complex topology, composed of a large number of components. The simulators are based on new, very efficient algorithms for system reliability analysis of systems comprising thousands of components. An important theme in the book are the generic principles and techniques for reducing technical risk. These have been classified into three major categories: preventive (reducing the likelihood of failure), protective (reducing the consequences from failure) and dual (reducing both, the likelihood and the consequences from failure). |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 online resource (xxii, 373 pages) illustrations |
| ISBN: | 9780080447285 0080447287 9780080467559 0080467555 |
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| 520 | |a For a long time, conventional reliability analyses have been oriented towards selecting the more reliable system and preoccupied with maximising the reliability of engineering systems. On the basis of counterexamples however, we demonstrate that selecting the more reliable system does not necessarily mean selecting the system with the smaller losses from failures! As a result, reliability analyses should necessarily be risk-based, linked with the losses from failures. Accordingly, a theoretical framework and models are presented which form the foundations of the reliability analysis and reliability allocation linked with the losses from failures. An underlying theme in the book is the basic principle for a risk-based design: the larger the cost of failure associated with a component, the larger its minimum necessary reliability level. Even identical components should be designed to different reliability levels if their failures are associated with different losses. | ||
| 520 | |a According to a classical definition, the risk of failure is a product of the probability of failure and the cost given failure. This risk measure however cannot describe the risk of losses exceeding a maximum acceptable limit. Traditionally the losses from failures have been 'accounted for' by the average production availability (the ratio of the actual production capacity and the maximum production capacity). As demonstrated in the book by using a simple counterexample, two systems with the same production availability can be characterised by very different losses from failures. As an alternative, a new aggregated risk measure based on the cumulative distribution of the potential losses has been introduced and the theoretical framework for risk analysis based on the concept potential losses has also been developed. This new risk measure incorporates the uncertainty associated with the exposure to losses and the uncertainty in the consequences given the exposure. | ||
| 520 | |a For repairable systems with complex topology, the distribution of the potential losses can be revealed by simulating the behaviour of systems during their life-cycle. For this purpose, fast discrete event-driven simulators are presented capable of tracking the potential losses for systems with complex topology, composed of a large number of components. The simulators are based on new, very efficient algorithms for system reliability analysis of systems comprising thousands of components. An important theme in the book are the generic principles and techniques for reducing technical risk. These have been classified into three major categories: preventive (reducing the likelihood of failure), protective (reducing the consequences from failure) and dual (reducing both, the likelihood and the consequences from failure). | ||
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Datensatz im Suchindex
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| author | Todinov, M. T. |
| author_facet | Todinov, M. T. |
| author_role | aut |
| author_sort | Todinov, M. T. |
| author_variant | m t t mt mtt |
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| dewey-ones | 620 - Engineering and allied operations |
| dewey-raw | 620.00452 |
| dewey-search | 620.00452 |
| dewey-sort | 3620.00452 |
| dewey-tens | 620 - Engineering and allied operations |
| format | Electronic eBook |
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| id | DE-604.BV046123412 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:35:48Z |
| institution | BVB |
| isbn | 9780080447285 0080447287 9780080467559 0080467555 |
| language | English |
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| spelling | Todinov, M. T. Verfasser aut Risk-based reliability analysis and generic principles for risk reduction M.T. Todinov Amsterdam Elsevier 2007 1 online resource (xxii, 373 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index For a long time, conventional reliability analyses have been oriented towards selecting the more reliable system and preoccupied with maximising the reliability of engineering systems. On the basis of counterexamples however, we demonstrate that selecting the more reliable system does not necessarily mean selecting the system with the smaller losses from failures! As a result, reliability analyses should necessarily be risk-based, linked with the losses from failures. Accordingly, a theoretical framework and models are presented which form the foundations of the reliability analysis and reliability allocation linked with the losses from failures. An underlying theme in the book is the basic principle for a risk-based design: the larger the cost of failure associated with a component, the larger its minimum necessary reliability level. Even identical components should be designed to different reliability levels if their failures are associated with different losses. According to a classical definition, the risk of failure is a product of the probability of failure and the cost given failure. This risk measure however cannot describe the risk of losses exceeding a maximum acceptable limit. Traditionally the losses from failures have been 'accounted for' by the average production availability (the ratio of the actual production capacity and the maximum production capacity). As demonstrated in the book by using a simple counterexample, two systems with the same production availability can be characterised by very different losses from failures. As an alternative, a new aggregated risk measure based on the cumulative distribution of the potential losses has been introduced and the theoretical framework for risk analysis based on the concept potential losses has also been developed. This new risk measure incorporates the uncertainty associated with the exposure to losses and the uncertainty in the consequences given the exposure. For repairable systems with complex topology, the distribution of the potential losses can be revealed by simulating the behaviour of systems during their life-cycle. For this purpose, fast discrete event-driven simulators are presented capable of tracking the potential losses for systems with complex topology, composed of a large number of components. The simulators are based on new, very efficient algorithms for system reliability analysis of systems comprising thousands of components. An important theme in the book are the generic principles and techniques for reducing technical risk. These have been classified into three major categories: preventive (reducing the likelihood of failure), protective (reducing the consequences from failure) and dual (reducing both, the likelihood and the consequences from failure). TECHNOLOGY & ENGINEERING / Quality Control bisacsh Reliability (Engineering) fast Risk assessment fast System failures (Engineering) fast Reliability (Engineering) System failures (Engineering) Risk assessment Risikoanalyse (DE-588)4137042-9 gnd rswk-swf Mathematische Methode (DE-588)4155620-3 gnd rswk-swf Funktionssicherheit (DE-588)4760707-5 gnd rswk-swf Risikoanalyse (DE-588)4137042-9 s Funktionssicherheit (DE-588)4760707-5 s Mathematische Methode (DE-588)4155620-3 s 1\p DE-604 http://www.sciencedirect.com/science/book/9780080447285 Verlag URL des Erstveröffentlichers Volltext text file rda 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Todinov, M. T. Risk-based reliability analysis and generic principles for risk reduction TECHNOLOGY & ENGINEERING / Quality Control bisacsh Reliability (Engineering) fast Risk assessment fast System failures (Engineering) fast Reliability (Engineering) System failures (Engineering) Risk assessment Risikoanalyse (DE-588)4137042-9 gnd Mathematische Methode (DE-588)4155620-3 gnd Funktionssicherheit (DE-588)4760707-5 gnd |
| subject_GND | (DE-588)4137042-9 (DE-588)4155620-3 (DE-588)4760707-5 |
| title | Risk-based reliability analysis and generic principles for risk reduction |
| title_auth | Risk-based reliability analysis and generic principles for risk reduction |
| title_exact_search | Risk-based reliability analysis and generic principles for risk reduction |
| title_full | Risk-based reliability analysis and generic principles for risk reduction M.T. Todinov |
| title_fullStr | Risk-based reliability analysis and generic principles for risk reduction M.T. Todinov |
| title_full_unstemmed | Risk-based reliability analysis and generic principles for risk reduction M.T. Todinov |
| title_short | Risk-based reliability analysis and generic principles for risk reduction |
| title_sort | risk based reliability analysis and generic principles for risk reduction |
| topic | TECHNOLOGY & ENGINEERING / Quality Control bisacsh Reliability (Engineering) fast Risk assessment fast System failures (Engineering) fast Reliability (Engineering) System failures (Engineering) Risk assessment Risikoanalyse (DE-588)4137042-9 gnd Mathematische Methode (DE-588)4155620-3 gnd Funktionssicherheit (DE-588)4760707-5 gnd |
| topic_facet | TECHNOLOGY & ENGINEERING / Quality Control Reliability (Engineering) Risk assessment System failures (Engineering) Risikoanalyse Mathematische Methode Funktionssicherheit |
| url | http://www.sciencedirect.com/science/book/9780080447285 |
| work_keys_str_mv | AT todinovmt riskbasedreliabilityanalysisandgenericprinciplesforriskreduction |