Probabilistic Reliability Engineering
John Wiley & Sons, May 8, 1995 - Technology & Engineering - 518 pages
With the growing complexity of engineered systems, reliability has increased in importance throughout the twentieth century. Initially developed to meet practical needs, reliability theory has become an applied mathematical discipline that permits a priori evaluations of various reliability indices at the design stages. These evaluations help engineers choose an optimal system structure, improve methods of maintenance, and estimate the reliability on the basis of special testing. Probabilistic Reliability Engineering focuses on the creation of mathematical models for solving problems of system design.
Broad and authoritative in its content, Probabilistic Reliability Engineering covers all mathematical models associated with probabilistic methods of reliability analysis, including--unique to this book--maintenance and cost analysis, as well as many new results of probabilistic testing.
To provide readers with all necessary background material, this text incorporates a thorough review of the fundamentals of probability theory and the theory of stochastic processes. It offers clear and detailed treatment of reliability indices, the structure function, load-strength reliability models, distributions with monotone intensity functions, repairable systems, the Markov models, analysis of performance effectiveness, two-pole networks, optimal redundancy, optimal technical diagnosis, and heuristic methods in reliability. Throughout the text, an abundance of real world examples and case studies illustrate and illuminate the theoretical points under consideration.
For engineers in design, operations research, and maintenance, as well as cost analysts and R&D managers, Probabilistic Reliability Engineering offers the most lucid, comprehensive treatment of the subject available anywhere.
About the editor
JAMES A. FALK is Professor and Chairman of the Department of Operations Research at George Washington University. In addition to his numerous publications, Dr. Falk has lectured internationally as a Fulbright Lecturer.
Of related interest...
The reliability-testing "bible" for three generations of Eastern European scientists, adapted for Western scientists and engineers...
HANDBOOK OF RELIABILITY ENGINEERING
Originally published in the USSR, Handbook of Reliability Engineering set the standard for the reliability testing of technical systems for nearly three generations of applied scientists and engineers. Authored by a group of prominent Soviet specialists in reliability, it provides professionals and students with a comprehensive reference covering mathematical formulas and techniques for incorporating reliability into engineering designs and testing procedures. Divided into twenty-four self-contained chapters, the Handbook details reliability fundamentals, examines common reliability problems and solutions, provides a collection of computation formulas, and illustrates practical applications.
The Handbook's Russian editor and internationally recognized expert Igor A. Ushakov has joined with American engineering professionals to bring this indispensable resource to English-speaking engineers and scientists.
1994 (0-471-57173-3) 663 pp.
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Load Strength Reliability Models
Distributions with Monotone Intensity Functions
Repairable Duplicated System
Analysis of Performance Effectiveness
active redundant approximation assume availability coefficient Bernoulli trials binomial distribution calculations cohorts components condition corresponding cost denote duplicated system equals equations Erlang distribution example executive units exponential distribution expression failed unit failure rate failure-free operation geometric distribution Gnedenko heuristic highly reliable system independent initial interval Laplace-Stieltjes transform lower bound main unit maniples Markov mathematical model mean method MTBF MTTF negative binomial distribution normal distribution number of units object obtain optimal redundancy problem parameter performance point process Poisson distribution Poisson process practical procedure Proschan random number random TTF redundant group redundant units regime reliability index reliability theory repair facilities replacement restrictions result sequence series system simple paths solution spare units standby redundancy stationary subsystem successfully switching system consisting system failure system units Table Theorem tion total number transition graph unit's upper bound Ushakov variance vector write