Institution
Siemens PLM Software
About: Siemens PLM Software is a based out in . It is known for research contribution in the topics: Combined cycle & Elevator. The organization has 47 authors who have published 36 publications receiving 299 citations.
Topics: Combined cycle, Elevator, Electric motor, Heat pump, Turbine
Papers
National Renewable Energy Laboratory1, University of Maine2, Maritime Research Institute Netherlands3, DNV GL4, Technical University of Denmark5, French Institute of Petroleum6, Polytechnic University of Milan7, Siemens PLM Software8, University of Cantabria9, University of Ulsan10, University of Tokyo11, Polytechnic University of Catalonia12
TL;DR: In this paper, the authors present the results from Phase II of the Offshore Code Comparison, Collaboration, Continued, with Correlation (OCC) project, where numerical models of the DeepCwind floating semisubmersible wind system were validated using measurement data from a 1/50th-scale validation campaign performed at the Maritime Research Institute Netherlands offshore wave basin.
292 citations
TL;DR: It is demonstrated how low-cost digital encoders can be successfully used together with the Elapsed Time Method to simplify TE measurement with respect to the traditional Direct Method.
78 citations
TL;DR: The high-order polynomial method (p-FEM with Lobatto polynomials) and the wave-based discontinuous Galerkin method are compared for two-dimensional Helmholtz problems, indicating that the differences in performance, accuracy and conditioning are more nuanced than generally assumed.
47 citations
1 Jul 2014
TL;DR: This paper establishes the motivation for MLM, as well as laying the foundation for addressing challenges that lay ahead, setting the basis for more in depth overview of MLM solutions and vendor offering that are beyond the scope of this paper.
Abstract: Model Based Systems Engineering (MBSE) is an evolving practice in the early stages of adoption similar to the mechanical, electrical and software domains 20 to 30 years ago. Today there is increasing recognition of the potential MBSE brings to system life cycle processes with the increasing complexity of systems and the demands of the global marketplace. In order for the practice to realize this potential, system modeling and MBSE must be part of the larger model based engineering effort, and integrate with other engineering discipline models and modeling activities across the life cycle of a system. This is placing increasing demands on the need for Model Lifecycle Management (MLM) as an essential part of an MBSE infrastructure. This paper establishes the motivation for MLM, as well as laying the foundation for addressing challenges that lay ahead. The paper is focused on describing key concepts, requirements, current practices, and future directions of MLM, and setting the basis for more in depth overview of MLM solutions and vendor offering that are beyond the scope of this paper.
43 citations
Authors
Showing all 47 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Sylvain Lardeau | 21 | 47 | 1273 |
| Karl Janssens | 19 | 66 | 1131 |
| Graham M. Goldin | 17 | 33 | 1280 |
| Hadrien Bériot | 10 | 40 | 326 |
| Ulrich Raschke | 10 | 17 | 274 |
| Jacques Cuenca | 9 | 37 | 340 |
| Simone Manzato | 9 | 45 | 261 |
| George Mallouppas | 6 | 10 | 363 |
| Emilio Di Lorenzo | 5 | 21 | 87 |
| Antonio Palermo | 5 | 20 | 154 |
| Laurent Britte | 4 | 10 | 139 |
| Alexander Vikhansky | 4 | 7 | 30 |
| Yongzhe Zhang | 3 | 6 | 50 |
| German Esparza | 3 | 4 | 11 |
| Nancy Cruz | 3 | 4 | 11 |
Related Institutes (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2025 | 2 |
| 2024 | 2 |
| 2023 | 5 |
| 2020 | 1 |
| 2019 | 10 |
| 2018 | 3 |