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Lorén, Sara
Publications (3 of 3) Show all publications
Lorén, S. & de Maré, J. (2015). Maintenance for reliability: a case study. Annals of Operations Research, 224(1)
Open this publication in new window or tab >>Maintenance for reliability: a case study
2015 (English)In: Annals of Operations Research, ISSN 0254-5330, E-ISSN 1572-9338, Vol. 224, no 1Article in journal (Refereed) Published
Abstract [en]

The optimal replacement problem for components with stochastic lives has an appealing solution based on the TTT-transform. The issue is revisited for components which are regularly inspected and where statistical uncertainties are taken into account by means of the method of predicted profile likelihood. The ideas are applied on crack growth data on a low pressure nozzle in a jet engine. It turns out that the standard method is not directly applicable and that the effect of uncertainties on the replacement times is not easy to predict.

Place, publisher, year, edition, pages
Springer New York LLC, 2015
Keywords
residual life, periodic inspection, stochastic component, predictive profile likelihood, replacement
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:hb:diva-3198 (URN)10.1007/s10479-011-0873-8 (DOI)000347528500006 ()2-s2.0-85027948978 (Scopus ID)2320/9533 (Local ID)2320/9533 (Archive number)2320/9533 (OAI)
Available from: 2015-11-13 Created: 2015-11-13 Last updated: 2018-11-30Bibliographically approved
Johannesson, P., Speckert, M., Dressler, K., de Maré, J., Lorén, S., Ruf, N., . . . Svensson, T. (2013). Evaluation of Customer Loads. In: P Johannesson, M Speckert (Ed.), Guide to Load Analysis for Durablity in Vehicle Engineering: (pp. 287-320). Wiley
Open this publication in new window or tab >>Evaluation of Customer Loads
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2013 (English)In: Guide to Load Analysis for Durablity in Vehicle Engineering / [ed] P Johannesson, M Speckert, Wiley , 2013, p. 287-320Chapter in book (Other academic)
Abstract [en]

The overall goal of vehicle design is to make a robust and reliable product that meets the demands of the customers and this book treats the topic of analysing and describing customer loads with respect to durability. Guide to Load Analysis for Vehicle and Durability Engineering supplies a variety of methods for load analysis and also explains their proper use in view of the vehicle design process. In Part I, Overview, there are two chapters presenting the scope of the book as well as providing an introduction to the subject. Part II, Methods for Load Analysis, describes useful methods and indicates how and when they should be used. Part III, Load Analysis in view of the Vehicle Design Process, offers strategies for the evaluation of customer loads, in particular characterization of customer populations, which leads to the derivation of design loads, and finally to the verification of systems and components.

Place, publisher, year, edition, pages
Wiley, 2013
National Category
Mathematics Probability Theory and Statistics Mechanical Engineering Reliability and Maintenance
Identifiers
urn:nbn:se:hb:diva-5159 (URN)2320/13007 (Local ID)978-1-118-64831-5 (ISBN)2320/13007 (Archive number)2320/13007 (OAI)
Available from: 2015-12-17 Created: 2015-12-17 Last updated: 2017-11-19Bibliographically approved
Lorén, S. & Svensson, T. (2012). Second Moment Reliability Evaluation vs. Monte Carlo Simulations for Weld Fatigue Strength. Quality and Reliability Engineering International, 28(8), 887-896
Open this publication in new window or tab >>Second Moment Reliability Evaluation vs. Monte Carlo Simulations for Weld Fatigue Strength
2012 (English)In: Quality and Reliability Engineering International, ISSN 0748-8017, E-ISSN 1099-1638, Vol. 28, no 8, p. 887-896Article in journal (Refereed) Published
Abstract [en]

Monte Carlo simulations have become very popular in industrial applications as a tool to study variational influences on reliability assessments. The method is appealing because it can be done without any statistical knowledge and produces results that appear very informative. However, in most cases, the information gathered is no more than a complicated transformation of initial guesses because the statistical distributions of the dominating variational influences are unknown. The seemingly informative result may then be highly misleading, in particular, when the user lacks sufficient statistical knowledge. Instead, in cases where the input knowledge of the distributional properties is vague, it may be better to use a reliability method based on the actual knowledge, often not more than second moment characteristics. This can easily be done by using a method, based on variances, covariances, and sensitivity coefficients. Here, a specific problem of fatigue life of a welded structure is studied by (i) a Monte Carlo simulation method and (ii) a second moment method. Both methods are evaluated on a fatigue strain–life approach and use experimental data showing variation in weld geometry and material strength parameters. The two methods are compared and discussed in view of the engineering problem of reliability with respect to fatigue damage.

Place, publisher, year, edition, pages
John Wiley & Sons, 2012
Keywords
sensitivity analysis, prediction interval, fatigue life
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:hb:diva-3271 (URN)10.1002/qre.1278 (DOI)000311607300008 ()2320/9930 (Local ID)2320/9930 (Archive number)2320/9930 (OAI)
Available from: 2015-11-13 Created: 2015-11-13 Last updated: 2017-12-04Bibliographically approved
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