scholarly journals Optimal scenario reduction framework based on distance of uncertainty distribution and output performance: II. Sequential reduction

2016 ◽  
Vol 84 ◽  
pp. 599-610 ◽  
Author(s):  
Zukui Li ◽  
Christodoulos A. Floudas
Author(s):  
Xinbo Qian ◽  
Qiuhua Tang ◽  
Bo Tao

Condition-based maintenance (CBM) optimization involves considering inherent uncertainties and external uncertainties. Since computational complexity increases exponentially with the number of degradation uncertainties and stages, scenario reduction aims to select small set of typical scenarios which can maintain the probability distributions of outputs of possible scenarios. A novel scenario reduction method, 3D-outputs-clustering scenario reduction (3DOCS), is presented by considering the impacts of uncertainty parameters on the output performance for CBM optimization which have been overlooked. Since the output performance for CBM is much more essential than the inputs, the proposed scenario reduction method reduces degradation scenarios by [Formula: see text]-means clustering of the multiple outputs of degradations scenarios for CBM. It minimizes the probabilistic distribution distances of outputs between original and selected scenarios. Case studies show that 3DOCS has advantages as a smaller distance of output performance of selected scenarios compared to that of initial scenarios.


1997 ◽  
Author(s):  
Paul Agresti ◽  
Gary Chen ◽  
Terrance Rivinius
Keyword(s):  

2020 ◽  
pp. 004711782097032
Author(s):  
Diana Panke

Cooperation in regional international organizations (RIOs) can help member states to work toward and perhaps achieve policy goals that would not be feasible unilaterally. Thus, RIOs might be used as a means of states to compensate for domestic shortcomings in output performance. Do states equip RIOs with policy competencies in order to compensate corresponding domestic performance shortcomings? The analysis of a novel database on policy competencies of 76 RIOs between 1945 and 2015 reveals that usually RIOs are not usually used as window-dressing devices by which states disguise limited domestic output performance. Instead, governments tend to equip RIOs with policy competencies in order to further strengthen their already good output performance in most policy areas. However, in the policy area, ‘energy’ states tend to confer more competencies to their respective RIOs, the worse they perform domestically, indicating that output-related compensation dynamics might be at play in this field.


Nano Energy ◽  
2021 ◽  
Vol 86 ◽  
pp. 106126
Author(s):  
Ruey-Chi Wang ◽  
Yu-Cheng Lin ◽  
Po-Tsang Chen ◽  
Hsiu-Cheng Chen ◽  
Wan-Ting Chiu

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