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Journal ArticleDOI

Global optimization of reliability design for large ball mill gear transmission based on the Kriging model and genetic algorithm

TLDR
In this paper, the authors present the application of the stress-strength distribution interference theory to calculate the reliability of gear transmission, establishes the Kriging model for function fitting, and uses genetic algorithm to globally optimize the volume and reliability of large ball mill gear transmission.
About
This article is published in Mechanism and Machine Theory.The article was published on 2013-11-01. It has received 49 citations till now. The article focuses on the topics: Kriging & Global optimization.

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Citations
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Journal ArticleDOI

Genetic Algorithm and its Applications to Mechanical Engineering: A Review

TL;DR: Genetic algorithm is a multi-path algorithm that searches many peaks in parallel, hence reducing the possibility of local minimum trapping and solve the multi-objective optimization problems.
Journal ArticleDOI

Comparative study of surrogate approaches while optimizing computationally expensive reaction networks

TL;DR: A Sobol set assisted artificial neural network replaces the computationally expensive kinetic model of long chain branched poly vinyl acetate as the fast and efficient surrogate model and introduces a logical way of designing ANN architectures where the outperformance of multiple layer networks justifies the elimination of heuristics approach.
Journal ArticleDOI

Multi-objective micro-geometry optimization of gear tooth supported by response surface methodology

TL;DR: In this paper, the suitability of three distinct metamodeling techniques, namely Gaussian Process (stochastic), Shepard k-Nearest (nonparametric deterministic) and Polynomial (polynomial), for gear optimization using micro-geometry profile modifications is investigated.
Journal ArticleDOI

Load sharing analysis and reliability prediction for planetary gear train of helicopter

TL;DR: In this article, a model is established to predict the reliability of helicopter planetary gear train under the condition of partial load, and the reliability model is verified through a statistical analysis method of random censored data.
Journal ArticleDOI

Dynamic reliability analysis for planetary gear system in shearer mechanisms

TL;DR: In this article, the reliability and reliability-based sensitivity analyses of planetary gear systems in shearer mechanisms are considered, and saddle-point approximation (SPA) is introduced to evaluate the probability distribution of the equivalent maximum contract stress for the planetary gearbox.
References
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Journal ArticleDOI

A comparison of three methods for selecting values of input variables in the analysis of output from a computer code

TL;DR: In this paper, two sampling plans are examined as alternatives to simple random sampling in Monte Carlo studies and they are shown to be improvements over simple sampling with respect to variance for a class of estimators which includes the sample mean and the empirical distribution function.
Journal ArticleDOI

Principles of geostatistics

G. Matheron
- 01 Dec 1963 - 
TL;DR: In this article, the authors present a new science leading to such an approach, namely geostatistics, which is a new approach for estimating the estimation of ore grades and reserves.
Journal ArticleDOI

Kriging Models for Global Approximation in Simulation-Based Multidisciplinary Design Optimization

TL;DR: This work investigates the use of kriging models as alternatives to traditional second-order polynomial response surfaces for constructing global approximations for use in a real aerospace engineering application, namely, the design of an aerospike nozzle.
Journal ArticleDOI

Use of Kriging Models to Approximate Deterministic Computer Models

Jay D. Martin, +1 more
- 01 Apr 2005 - 
TL;DR: This paper compares Maximum Likelihood Estimation (MLE) and Cross-Validation (CV) parameter estimation methods for selecting a kriging model’s parameters given its form and and an R 2 of prediction and the corrected Akaike Information Criterion for assessing the quality of the created kriged model, permitting the comparison of different forms of a k Riging model.
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