Applied Mathematics in Engineering and Reliability : Proceedings of the 1st International Conference on Applied Mathematics in Engineering and Reliability (Ho Chi Minh City, Vietnam, 4-6 May 2016)

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Applied Mathematics in Engineering and Reliability : Proceedings of the 1st International Conference on Applied Mathematics in Engineering and Reliability (Ho Chi Minh City, Vietnam, 4-6 May 2016)

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  • 製本 Hardcover:ハードカバー版/ページ数 336 p.
  • 言語 ENG
  • 商品コード 9781138029286
  • DDC分類 620.00452

Full Description

Applied Mathematics in Engineering and Reliability contains papers presented at the International Conference on Applied Mathematics in Engineering and Reliability (ICAMER 2016, Ho Chi Minh City, Viet Nam, 4-6 May 2016). The book covers a wide range of topics within mathematics applied in reliability, risk and engineering, including:

- Risk and Reliability Analysis Methods

- Maintenance Optimization

- Bayesian Methods

- Monte Carlo Methods for Parallel Computing of Reliability and Risk

- Advanced Mathematical Methods in Engineering

- Methods for solutions of Nonlinear Partial Differential Equations

- Statistics and Applied Statistics, etc.

The application areas range from Nuclear, Mechanical and Electrical Engineering to Information Technology and Communication, Safety Engineering, Environmental Engineering, Finance or Health and Medicine. The papers cover both theory and applications, which are focused to a wide range of sectors and problem areas. Integral demonstrations of the use of reliability and engineering mathematics are provided in many practical applications concerning major technological systems and structures.

Contents

I - Applied Mathematics in Reliability Engineering; Bayesian methods, Bayesian reliability: A conjugate prior distribution for Bayesian analysis of the Power-Law Process; Bayesian approach to estimate the mixture of failure rate model; Cost oriented statistical decision problem in acceptance sampling and quality control; High-dimensional simulation experiments with particle filter and ensemble Kalman filter; The prior probability in classifying two populations by Bayesian method; Efficient Methods to Solve Optimization Problems; Estimation of parameters of Rikitake systems by SOMA; Clustering for probability density functions based on Genetic Algorithm; Optimization of truss structures with reliability-based frequency constraints under uncertainties of loadings and material properties; Optimum revenue calculation method to generate competitive hydroelectric power on Hua Na hydropower; Maintenance Modelling and Optimization; Network and Wireless Network Reliability; Risk and Hazard Analysis; System Reliability Analysis; II - Advanced Mathematical Methods for Engineering; Advanced Methods to Solve Partial Differential Equations; Inverse Problems; Advanced Numerical Methods; Statistics and Applied Statistics.

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