Model Optimization and Parameter Estimation with Nimrod/O

Computational Science – ICCS 2006 - Lecture Notes in Computer Science ◽

10.1007/11758501_96 ◽

2006 ◽

pp. 720-727 ◽

Cited By ~ 7

Author(s):

David Abramson ◽

Tom Peachey ◽

Andrew Lewis

Keyword(s):

Parameter Estimation ◽

Model Optimization

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Turbulence-parameter estimation for current-energy converters using surrogate model optimization

Renewable Energy ◽

10.1016/j.renene.2020.12.036 ◽

2021 ◽

Vol 168 ◽

pp. 559-567

Author(s):

Sterling S. Olson ◽

Jack C.P. Su ◽

H. Silva ◽

Chris C. Chartrand ◽

Jesse D. Roberts

Keyword(s):

Parameter Estimation ◽

Surrogate Model ◽

Model Optimization ◽

Turbulence Parameter ◽

Surrogate Model Optimization ◽

Current Energy ◽

Energy Converters

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Application of the Average Rank Time Method in Parameter Estimation for Fixed-Time Censoring Experiment

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.556-562.4146 ◽

2014 ◽

Vol 556-562 ◽

pp. 4146-4150

Author(s):

Shu Meng ◽

Gui Xiang Shen ◽

Ying Zhi Zhang ◽

Shu Guang Sun ◽

Qi Song

Keyword(s):

Parameter Estimation ◽

Likelihood Function ◽

Fixed Time ◽

Model Optimization ◽

Application Process ◽

Index Method ◽

Average Rank ◽

Failure Data ◽

Two Parameters ◽

Mutually Independent

In this paper, the parameter estimation problem of products which are mutually independent and whose life belongs to two parameters Weibull distribution in fixed-time censoring experiment is discussed. And the rank of failure data is corrected by average rank time method, when the censoring experiments appeared. It is found that the method not only achieves the same effect for likelihood function theory, but also has the characters of high precision, simple process, no programming calculation, when model optimization is done by correlation index method. Finally, take field test data of a machine tool as an example to introduce the specific application process of this method, in order to verify the effectiveness and practical applicability.

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