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Usage space analysis for reliability testing
Author(s) -
Haselgruber Nikolaus,
Mautner Karin,
Thiele Jan
Publication year - 2010
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1155
Subject(s) - stress testing (software) , stress (linguistics) , reliability engineering , scalar (mathematics) , computer science , reliability (semiconductor) , stress field , stress space , cover (algebra) , engineering , structural engineering , mathematics , mechanical engineering , finite element method , constitutive equation , philosophy , linguistics , power (physics) , geometry , physics , quantum mechanics , programming language
During the development process of a complex technical product, one widely used and important technique is accelerated testing where the applied stress on a component is chosen to exceed the reference stress, i.e. the stress encountered in field operation, in order to reduce the time to failure. For that, the reference stress has to be known. Since a complex technical product may fail regarding numerous failure modes, stress in general is highly dimensional rather than scalar. In addition, customers use their products individually, i.e. field operation should be described by a distribution rather than by one scalar stress value. In this paper, a way to span the customer usage space is shown. It allows the identification of worst case reference stress profiles in significantly reduced dimensions with minimal loss of information. The application example shows that even for a complex product like a combustion engine, stress information can be compressed significantly. With low measurement effort it turned out that only three reference stress cycles were sufficient to cover a broad range of customer stress variety. Copyright © 2010 John Wiley & Sons, Ltd.