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Reliability Assessment with Varying Operating Conditions
KTH. Scania CV AB, Sweden.
KTH, School of Industrial Engineering and Management (ITM). (SYSTEM- O KOMPONENTDESIGN)ORCID iD: 0000-0003-4461-0209
KTH, School of Industrial Engineering and Management (ITM). (SYSTEM- O KOMPONENTDESIGN)
2016 (English)In: Procedia CIRP, Elsevier, 2016, 796-801 p.Conference paper, Published paper (Refereed)
Abstract [en]

Product reliability is a systems property that cannot be attributed to a single component. It is in many cases related to interactions between components, or to interactions between humans and the technical system. Product functionality includes both technical functions, like structural integrity and interactive functions, like ergonomics. Reliability assessments in the early stages of the development process are valuable, since design changes cost significantly less if made early. System reliability tests can only be made towards the end of the development process, but early estimates can be based on test data from component tests and function tests. Operating conditions often vary between component tests and system tests. Therefore, reliability assessments where data from one situation is used to predict reliability in a different situation must take this variation into account. We investigate how this can be done for both technical and interactive functions. The study is made in the context of system reliability for heavy trucks, where both technical functions and interactive functions affect product reliability. Two cases have been assembled from test data, one concerning a component on a truck cab, the other an interactive function of a truck. Two reliability estimation methods have been evaluated to investigate if the methods can be used for interactive functions as well as for technical functions. We conclude that a method for reliability estimation of interactive functions must be able to model increased uncertainty due to intrapersonal variation.

Place, publisher, year, edition, pages
Elsevier, 2016. 796-801 p.
Keyword [en]
interactive function, operating conditions, reliability estimation, Automobile testing, Ergonomics, Reliability analysis, Testing, Trucks, Development process, Interactive functions, Intra-personal variations, Operating condition, Product reliability, Reliability assessments, Technical functions, Reliability
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:kth:diva-195425DOI: 10.1016/j.procir.2016.04.139ISI: 000387666600133Scopus ID: 2-s2.0-84986626705OAI: oai:DiVA.org:kth-195425DiVA: diva2:1050304
Conference
26th CIRP Design Conference, 2016, 15 June 2016 through 17 June 2016
Note

QC 20161128

Available from: 2016-11-28 Created: 2016-11-03 Last updated: 2017-06-02Bibliographically approved
In thesis
1. Supporting complete vehicle reliability forecasts
Open this publication in new window or tab >>Supporting complete vehicle reliability forecasts
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Reliability is one of the properties that customers of heavy trucks value highest.Dependent on all parts and functions of the vehicle, reliability is a complexproperty, which can normally be measured only towards the end of a developmentproject. At earlier development stages, forecasts can give valuable decision supportfor project planning.The main function of a heavy truck is to transport goods, but the truck also hasinteractive functions as the working environment of the driver. Interactivefunctions are functions experienced by the driver. They are subjective, in the senseof being person dependent, so that a system can be experienced as inadequate byone user but satisfactory by another. Examples of interactive functions of heavytrucks are climate comfort and ergonomics, which are experienced differently bydifferent drivers. Failures of these functions lead to costs and limited availabilityfor the customer. Therefore it is important to include them in reliability forecasts.The work described in this thesis concerns some elements of the system reliabilityforecast. Two studies are presented, one proposing a qualitative systemarchitecture model and the other reviewing and testing methods for evaluating theimpact of varying operating conditions. Two case studies of a truck cab in a systemreliability test were made. The first case study shows that the system architecturemodel supports reliability forecasts by including interactive functions as well asexternal factors, human and environmental, which affect function performance.The second case study shows that modelling uncertainty is crucial for interactivefunctions and recommends a method to forecast function performance while takingvarying operating conditions into account.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2017. 25 p.
Series
TRITA-MMK, ISSN 1400-1179 ; 2017:09
Keyword
Reliability forecast, interactive function, operating conditions
National Category
Mechanical Engineering
Research subject
Machine Design
Identifiers
urn:nbn:se:kth:diva-208195 (URN)978-91-7729-400-9 (ISBN)
Presentation
2017-06-07, B242, Brinellvägen 83, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20170602

Available from: 2017-06-02 Created: 2017-06-02 Last updated: 2017-06-09Bibliographically approved

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