Abstract
| Original language | English |
|---|---|
| Title of host publication | ASME 2016 International Mechanical Engineering Congress and Exposition |
| Subtitle of host publication | Systems, Design, and Complexity |
| Publisher | American Society of Mechanical Engineers ASME |
| Number of pages | 11 |
| Volume | 11 |
| ISBN (Print) | 978-0-7918-5065-7 |
| DOIs | |
| Publication status | Published - 2016 |
| MoE publication type | A4 Article in a conference publication |
| Event | International Mechanical Engineering Congress and Exposition, IMECE 2016 - Phoenix, United States Duration: 11 Nov 2016 → 17 Nov 2016 |
Conference
| Conference | International Mechanical Engineering Congress and Exposition, IMECE 2016 |
|---|---|
| Abbreviated title | IMECE 2016 |
| Country | United States |
| City | Phoenix |
| Period | 11/11/16 → 17/11/16 |
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Verification method for the design of remote handling systems using a reliability-based stochastic Petri Net approach. / Sibois, Romain; Määttä, Timo; Siuko, Mikko.
ASME 2016 International Mechanical Engineering Congress and Exposition: Systems, Design, and Complexity. Vol. 11 American Society of Mechanical Engineers ASME, 2016. IMECE2016-66027.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Verification method for the design of remote handling systems using a reliability-based stochastic Petri Net approach
AU - Sibois, Romain
AU - Määttä, Timo
AU - Siuko, Mikko
PY - 2016
Y1 - 2016
N2 - The verification of complex engineering systems from the very early phases of the design process is of primary importance as it directly influences the performance and system functionalities. Traditional design approaches aim at using simulations as a set of tools during the verification process. However, the current trend in the industry is to base the design process on the simulations as a simulation-based design. This perspective will therefore convey the design process towards a verification-driven design process. This paper reviews the definition of design process, engineering design verification process and decision making process. The objectives of the paper aim at describing an innovative verification-based design process using reliability-based stochastic Petri Net approach. The scope of the paper includes aspects of complex system designs and demonstrates a method to verify the concept design against its requirements using a quantitative approach. Finally, the method is applied on a case study and the results as well as future development are discussed in the last section.
AB - The verification of complex engineering systems from the very early phases of the design process is of primary importance as it directly influences the performance and system functionalities. Traditional design approaches aim at using simulations as a set of tools during the verification process. However, the current trend in the industry is to base the design process on the simulations as a simulation-based design. This perspective will therefore convey the design process towards a verification-driven design process. This paper reviews the definition of design process, engineering design verification process and decision making process. The objectives of the paper aim at describing an innovative verification-based design process using reliability-based stochastic Petri Net approach. The scope of the paper includes aspects of complex system designs and demonstrates a method to verify the concept design against its requirements using a quantitative approach. Finally, the method is applied on a case study and the results as well as future development are discussed in the last section.
U2 - 10.1115/IMECE2016-66027
DO - 10.1115/IMECE2016-66027
M3 - Conference article in proceedings
SN - 978-0-7918-5065-7
VL - 11
BT - ASME 2016 International Mechanical Engineering Congress and Exposition
PB - American Society of Mechanical Engineers ASME
ER -