System Reliability Assessment and Optimization (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Serie
Quality and Reliability Engineering Series
Antal sidor
272
Utgivningsdatum
2022-08-04
Förlag
John Wiley & Sons Inc
Dimensioner
244 x 170 x 16 mm
Vikt
636 g
ISBN
9781119265870

System Reliability Assessment and Optimization

Methods and Applications

Inbunden,  Engelska, 2022-08-04
1095
  • Skickas från oss inom 2-5 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Finns även som
Visa alla 2 format & utgåvor
This book offers a comprehensive overview of recently developed methods for assessing and optimizing system reliability. It consists of two main parts, for treating assessment methods and optimization methods, respectively. The first part covers methods of multi-state system reliability modelling and evaluation, Markov processes, Monte Carlo simulation and uncertainty analysis. The methods considered range from piecewise-deterministic Markov processes to belief function analysis. The second part covers optimization methods of mathematical programming and evolutionary algorithms, and problems of multi-objective optimization and optimization under uncertainty. The methods of this part range from non-dominated sorting genetic algorithm to robust optimization. The book also includes the application of the assessment and optimization methods considered on real case studies, particularly with respect to the reliability assessment and optimization of renewable energy systems, and bridges the gap between theoretical method development and engineering practice.
Visa hela texten

Passar bra ihop

  1. System Reliability Assessment and Optimization
  2. +
  3. Effective FMEAs

De som köpt den här boken har ofta också köpt Effective FMEAs av Carl S Carlson, Carl Carlson, Carl S Carlson (inbunden).

Köp båda 2 för 2523 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna

Övrig information

Yan-Fu Li¿is Full Professor at the Department of Industrial Engineering and the Director of the Institute for Quality & Reliability at Tsinghua University, China. He received his Ph.D in Industrial Engineering from National University of Singapore in 2010 Enrico Zio¿is Full Professor at Mines-Paris, PSL University, and at the Energy Department of Politecnico di Milano, Italy. He received his Ph.D in nuclear engineering from Politecnico di Milano and in Probabilistic Risk Assessment from MIT in 1996 and 1998, respectively.