Probabilistic reliability engineering
by Gnedenko, B. V., (Boris Vladimirovich)
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 …
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- Full title :Probabilistic reliability engineering / Boris Gnedenko, Igor Ushakov ; edited by James Falk.
Summary
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.
Read More ↓Edition Statements
- Publication Date:©1995.
Publication Statements
- Publisher(s):Wiley
- Place of Publication:New York
- Language:eng
- Publication Date:©1995.
The Physical Object
- Description:1 online resource (xix, 518 pages) : : illustrations
Edition Identifiers
- ISBN:9780470172421, 0470172428, 0471305022, 9780471305026
- DOI:10.1002/9780470172421
- oclc:ocn184983122
- LC Classification:TA169
- Dewey Decimal:620/.00452
Table of Contents
1. Fundamentals -- 2. Reliability Indexes -- 3. Unrepairable Systems -- 4. Load-Strength Reliability Models -- 5. Distributions with Monotone Intensity Functions -- 6. Repairable Systems -- 7. Repairable Duplicated System -- 8. Analysis of Performance Effectiveness -- 9. Two-Pole Networks -- 10. Optimal Redundancy -- 11. Optimal Technical Diagnosis -- 12. Additional Optimization Problems in Reliability Theory -- 13. Heuristic Methods in Reliability.
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