F: Resource-Optimized Verification Planning for Me - 4 Angebote vergleichen
Bester Preis: € 69,00 (vom 01.01.2018)1
Resource-Optimized Verification Planning for Mechatronic Systems in the Virtual Stage of Product Creation. (2017)
DE PB NWISBN: 9783839612552 bzw. 3839612551, in Deutsch, Fraunhofer Verlag, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
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. 2017. 204 S. zahlr. Abb. u. Tab. 21. Versandfertig in 2-4 Wochen, Softcover, Neuware, offene Rechnung (Vorkasse vorbehalten).
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
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. 2017. 204 S. zahlr. Abb. u. Tab. 21. Versandfertig in 2-4 Wochen, Softcover, Neuware, offene Rechnung (Vorkasse vorbehalten).
2
Gerhorst, F: Resource-Optimized Verification Planning for Me (2017)
~EN PB NWISBN: 9783839612552 bzw. 3839612551, vermutlich in Englisch, Fraunhofer Verlag, Taschenbuch, neu.
Lieferung aus: Österreich, Versandfertig innerhalb von 3 Wochen.
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. Taschenbuch, 28.11.2017.
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. Taschenbuch, 28.11.2017.
3
Resource-Optimized Verification Planning for Mechatronic Systems in the Virtual Stage of Product Creation. als von Frank Gerhorst
DE NWISBN: 9783839612552 bzw. 3839612551, in Deutsch, Fraunhofer Verlag, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
4
Resource-Optimized Verification Planning for Mechatronic Systems in the Virtual Stage of Product Creation. (Berichte aus dem Produktionstechnischen Zentrum Berlin) (2017)
EN PB NWISBN: 9783839612552 bzw. 3839612551, in Englisch, 204 Seiten, Fraunhofer Verlag, Taschenbuch, neu.
Lieferung aus: Deutschland, Der Artikel ist bald verfügbar. Sichern Sie sich jetzt Ihr Exemplar! Versandkostenfrei.
Von Händler/Antiquariat, Amazon.de.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Amazon.de.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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