Reliability modeling with applications : essays in honor of Professor Toshio Nakagawa on his 70th Birthday /
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| Imprint: | New Jersey : World Scientific, [2014] ©2014 |
|---|---|
| Description: | 1 online resource (379 pages) : illustrations |
| Language: | English |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11223925 |
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| 245 | 0 | 0 | |a Reliability modeling with applications : |b essays in honor of Professor Toshio Nakagawa on his 70th Birthday / |c editors, Syouji Nakamura, Kinjo Gakuin University, Japan, Cun Hua Qian, Nanjing University of Technology, China, Mingchih Chen, Fe Jen Catholic University, Taiwan. |
| 264 | 1 | |a New Jersey : |b World Scientific, |c [2014] | |
| 264 | 4 | |c ©2014 | |
| 300 | |a 1 online resource (379 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Online resource; title from PDF title page (ebrary, viewed February 5, 2014). | |
| 505 | 0 | |a Preface; Contents; Maintenance Policies; 1. A Dynamic Programming Approach for Sequential Preventive Maintenance Policies with Two Failure Modes; 1 Introduction; 2 Sequential Imperfect PM; 3 DP Algorithm; 4 Numerical Examples; 5 Concluding Remarks; Acknowledgment; References; 2. Selective Maintenance for Complex Systems Considering Imperfect Maintenance Efficiency; 1 Introduction; 2 Selective Maintenance for Binary Systems; 2.1 Hazard Adjustment Factor; 2.2 System Reliability Evaluation; 2.3 Selective Maintenance Modeling; 2.4 Results; 3 Selective Maintenance for Multi-state Systems | |
| 505 | 8 | |a 3.1 Selective Maintenance for MSS with Binary Components3.2 Selective Maintenance for MSS with Multistate Components; 3.2.1 System reliability evaluation; 3.2.2 Selective maintenance modeling; 3.2.3 Results; 4 Conclusion; Acknowledgment; References; 3. Random Replacement Policies; 1 Introduction; 2 Random Age Replacement Policies; 2.1 Standard Age Replacement Policy; 2.2 Random Age Replacement Policy; 1. Exponential distribution case; 2. Uniform distribution case; 3. Triangular distribution case; 2.3 Numerical Examples; 3 Preventive Replacement Policies with Random Opportunity Times | |
| 505 | 8 | |a 3.1 Opportunity Age Replacement Model3.2 Number-based Replacement Policy; 3.3 Numerical Examples; 4 Extended Models; 5 Conclusion; Acknowledgement; References; 4. Optimal Replacement Interval of a Dual System; 1 Introduction; 2 Modeling; (1) Replacement in Random Failure Period; (2) Replacement in Wearout Failure Period; 3 Optimal Policies; 3.1 Replacement in Random Failure Period; 3.2 Replacement in Wearout Failure Period; 3.2.1 Analysis of Optimal ta; 3.2.2 Analysis of Optimal tf; 3.2.3 Analysis of Optimal ta and tf; 4 Numerical Examples; 4.1 Replacement in Random Failure Period | |
| 505 | 8 | |a 4.2 Replacement in Wearout Failure Period5 Conclusions; References; 5. Cumulative Damage Models with Random Working Times; 1 Introduction; 2 Modeling and Optimization; 2.1 Working Number N; 2.2 Replacement Over Time T or Level Z; 2.2.1 Over time T; 1. Policy I; 2. Policy II; 2.2.2 Over level Z; 1. Policy I; 2. Policy II; 2.3 Replacement First and Last; 2.3.1 Replacement first; 2.3.2 Replacement last; 2.3.3 Comparisons; 3 Conclusions; References; Reliability Analysis; 6. Modules of Multi-State Coherent Systems -- Order Theoretical Relations; 1 Introduction; 2 Multi-state Coherent Systems | |
| 505 | 8 | |a 3 Modules4 Concluding Remarks; References; 7. Calculation Algorithms for the System State Distributions of Multi-State k-out-of-n Systems; 1 Introduction; 2 Definition for the Multi-state k-out-of-n Systems; 3 Theorem and Algorithm for the System State Distributions of the Generalized Multi-State k-out-of-n:F System; 4 Theorem and Algorithm for the System State Distributions of the Generalized Multi-State k-out-of-n:G System; 5 Evaluations; 5.1 Orders of Computing Time and Memory Size; 5.2 The Result of Numerical Experiments; 6 Conclusions; Acknowledgment; References | |
| 520 | |a Reliability modeling has been a major concern for engineers and managers engaged in high quality system designs. This book presents the recent advancement in reliability theory and reliability engineering. Starting from maintenance policies, the book introduces reliability analysis to systems using stochastic processes to study their optimization problems. In this book, the authors will illustrate how these techniques of reliability are applied to solve optimization problems in computer, information and network systems. | ||
| 650 | 0 | |a Reliability (Engineering) |0 http://id.loc.gov/authorities/subjects/sh85112511 | |
| 650 | 0 | |a Stochastic systems. |0 http://id.loc.gov/authorities/subjects/sh85128185 | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Engineering (General) |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Reference. |2 bisacsh | |
| 650 | 7 | |a Reliability (Engineering) |2 fast |0 (OCoLC)fst01093646 | |
| 650 | 7 | |a Stochastic systems. |2 fast |0 (OCoLC)fst01133532 | |
| 655 | 0 | |a Electronic books. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Nakamura, Syouji. |0 http://id.loc.gov/authorities/names/no2010053791 | |
| 700 | 1 | |a Qian, Cun Hua. | |
| 700 | 1 | |a Chen, Mingchih. | |
| 776 | 0 | 8 | |i Print version: |t Reliability modeling with applications. |d New Jersey : World Scientific, [2014] |w (DLC) 2012286849 |
| 903 | |a HeVa | ||
| 929 | |a oclccm | ||
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| 928 | |t Library of Congress classification |a TA169 .R45 2014eb |l Online |c UC-FullText |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=e000xna&AN=689756 |z eBooks on EBSCOhost |g ebooks |i 12406066 | ||