Reliability Evaluation of Engineering Systems: Concepts and TechniquesSpringer US, 1983 - 349 páginas This book has evolved from our deep interest and involvement in the development and application of reliability evaluation techniques. Its scope is not limited to anyone engineering discipline as the concepts and basic techniques for reliability evaluation have no disciplinary boundaries and are applicable in most, if not all, engineering applications. We firmly believe that reliability evaluation is an important and integral feature of the planning, design and operation of all engineering systems; from the smallest and most simple to the largest and most complex. Also, we believe that all engineers involved with such systems should be aware of, and appreciate, not only the benefits which can accrue from reliability assessment, but also how such assessments can be made. Our primary objective has been to compile a book which provides practising engineers and engineering graduates who have little or no background in probability theory or statistics, with the concepts and basic techniques for evaluating the reliability of engineering systems. It is hoped that the material presented will enable them to reach quickly a level of self-confidence which will permit them to assimilate, understand and appreciate the more detailed applications and additional material which is available in the journals and publications associated with their own discipline. |
Conteúdo
Basic probability theory | 5 |
Application of the binomial distribution | 36 |
Network modelling and evaluation of simple systems | 62 |
Direitos autorais | |
31 outras seções não mostradas
Outras edições - Ver todos
Reliability Evaluation of Engineering Systems: Concepts and Techniques Roy Billinton Visualização parcial - 2013 |
Reliability Evaluation of Engineering Systems: Concepts and Techniques Roy Billinton Prévia não disponível - 2012 |
Termos e frases comuns
application assumed average binomial distribution Chapter combinations common mode failures component system concepts conditional probability considered cumulative failure distribution deduced event tree expected value exponential distribution expression f/hr f/yr failure density function failure rate frequency of encountering gamma distribution given gives hazard rate identical components illustrated interval Laplace transforms limiting state probabilities maintenance Markov method minimal cut sets MTTF number of components number of failures number of spares occur outcomes P(system P₁ P₂ parallel system parameters paths Poisson distribution probability density function probability distribution probability of failure probability of occurrence problem R₁ random variable represents series system shown in Figure shown in Table single component space diagram standard deviation standby system stochastic transitional probability summation system failure system shown system success tion transitional probability matrix unavailability Venn diagram wearout Weibull distribution zero λ μ λε λι μι