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)
1st Edition
Published on 12. April 2016
Book
Hardback
336 pages
978-1-138-02928-6 (ISBN)
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.
- 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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Postgraduate and Professional
Dimensions
Height: 246 mm
Width: 174 mm
Weight
748 gr
ISBN-13
978-1-138-02928-6 (9781138029286)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Radim Bris | Vaclav Snasel | Chu Duc Khanh
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)
E-Book
04/2016
CRC Press
€250.99
Available for download
Radim Bris | Vaclav Snasel | Chu Duc Khanh
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)
E-Book
04/2016
1st Edition
CRC Press
€250.99
Available for download
Persons
Radim Bris is research worker and university professor in applied mathematics and technical cybernetics in the Faculty of Engineering and Computer Science of the VSB-Technical University of Ostrava, Czech Republic. He is also senior researcher in applied statistics and operational research at the Centrum Excelence IT4Innovations at the same university, and team leader for the Stochastic reliability modelling and risk management group.
Dr. Bris recently became Vice-President of European Safety and Reliability Association, and is a member of ESRA Management Board. Previously, he spent one year as invited research professor at the Laboratoire de modelisation et de Surete des Systemes, at the Universite de Technologie de Troyes, France. He also spent 5 years in the position of Vice-Dean of the Faculty of Electrical Engineering and Computer Science, VSB TU Ostrava.
Dr. Bris recently became Vice-President of European Safety and Reliability Association, and is a member of ESRA Management Board. Previously, he spent one year as invited research professor at the Laboratoire de modelisation et de Surete des Systemes, at the Universite de Technologie de Troyes, France. He also spent 5 years in the position of Vice-Dean of the Faculty of Electrical Engineering and Computer Science, VSB TU Ostrava.
Editor
Faculty of Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Czech Republic
VSB - Technical University of Ostrava, Czech Republic
Faculty of Mathematics - Statistics, Ton Duc Thang University, Vietnam
European Cooperation Center, Ton Duc Thang University, Ho Chi Minh City, Vietnam
Content
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.