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Resource-optimized verification planning for mechatronic systems in the virtual stage of product creation

: Gerhorst, Frank
: Stark, R.


Stuttgart: Fraunhofer Verlag, 2017, XV, 165 pp.
Zugl.: Berlin, TU, Diss., 2017
Berichte aus dem Produktionstechnischen Zentrum Berlin
ISBN: 978-3-8396-1255-2
Fraunhofer IPK ()
stochastic; mechatronic reliability; sample size reduction; virtual product creation; quality assurance; Monte-Carlo method; design for six sigma; Maschinenbauingenieur; Elektroingenieur

Most current methods for product verification and reliability assurance are based upon statistical sample sizes and the underlying probability distributions. But that approach typically results in industrially unmanageable sample sizes and high test resource requirements. The proposed approach in this thesis uses a generalized "Inverse Most-Probable-Limit State" concept, which takes a Monte-Carlo based most likely noise factor scenario in all load dimensions into account for each failure mode.