scholarly journals Robust multi-stage model-based design of optimal experiments for nonlinear estimation

Author(s):  
Anwesh Reddy Gottu Mukkula ◽  
Michal Mateáš ◽  
Miroslav Fikar ◽  
Radoslav Paulen
Author(s):  
S. Palazzo ◽  
G. Bellitto ◽  
L. Prezzavento ◽  
F. Rundo ◽  
U. Bagci ◽  
...  
Keyword(s):  
Ct Scans ◽  

Author(s):  
Yongrui Jiang ◽  
Zhengxin Tao ◽  
Yifei Fan ◽  
Yilan Bai ◽  
Kaixuan Xu ◽  
...  
Keyword(s):  

2006 ◽  
Author(s):  
Sonia Lippke ◽  
Jochen P. Ziegelmann
Keyword(s):  

2019 ◽  
Vol 27 (1) ◽  
pp. 82-102 ◽  
Author(s):  
Yigit Kazancoglu ◽  
Yesim Deniz Ozkan-Ozen

PurposeThis research aims to investigate and define the eight wastes of lean philosophy in higher education institutions (HEIs) by proposing a multi-stage model.Design/methodology/approachThe authors have used a specific multi-criteria decision-making method, fuzzy decision-making trial and evaluation laboratory, to investigate the cause–effect relationships and importance order between criteria for wastes in HEIs. In total, 22 criteria were categorized under eight wastes of lean. The study was implemented in a business school with the participation of faculty members from different departments.FindingsThe results showed that the most important wastes in the business school selected were repeated tasks, unnecessary bureaucracy, errors because of misunderstanding/communication problems, excessive number of academic units and creation of an excessive amount of information. Another important result was that all the sub-wastes of talent were in the causes group, while motion and transportation wastes were in the effect group.Practical implicationsA road map to guide lean transformation for HEIs is proposed with a multi-stage model and potential areas for improvement in HEIs were presented.Originality/valueThis study proposes a multi-stage structure by applying multi-criteria decision-making to HEIs, focussing on wastes from a lean perspective.


Author(s):  
Aryan Kaveh ◽  
Finnius A. Bruton ◽  
Charlotte Buckley ◽  
Magdalena E. M. Oremek ◽  
Carl S. Tucker ◽  
...  

Author(s):  
Benjamin Megerle ◽  
Timothy Stephen Rice ◽  
Ivan McBean ◽  
Peter Ott

Non-synchronous excitation under low volume operation is a major risk to the mechanical integrity of last stage moving blades (LSMBs) in low-pressure (LP) steam turbines. These vibrations are often induced by a rotating aerodynamic instability similar to rotating stall in compressors. Currently extensive validation of new blade designs is required to clarify whether they are subjected to the risk of not admissible blade vibration. Such tests are usually performed at the end of a blade development project. If resonance occurs a costly redesign is required, which may also lead to a reduction of performance. It is therefore of great interest to be able to predict correctly the unsteady flow phenomena and their effects. Detailed unsteady pressure measurements have been performed in a single stage model steam turbine operated with air under ventilation conditions. 3D CFD has been applied to simulate the unsteady flow in the air model turbine. It has been shown that the simulation reproduces well the characteristics of the phenomena observed in the tests. This methodology has been transferred to more realistic steam turbine multi stage environment. The numerical results have been validated with measurement data from a multi stage model LP steam turbine operated with steam. Measurement and numerical simulation show agreement with respect to the global flow field, the number of stall cells and the intensity of the rotating excitation mechanism. Furthermore, the air model turbine and model steam turbine numerical and measurement results are compared. It is demonstrated that the air model turbine is a suitable vehicle to investigate the unsteady effects found in a steam turbine.


Computing ◽  
2011 ◽  
Vol 94 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Haifeng Shen ◽  
Gang Liu ◽  
Jun Guo

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