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E-grāmata: Reliability Modeling with Applications: Essays in Honor of Professor Toshio Nakagawa on His 70th Birthday [World Scientific e-book]

Edited by (Nanjing Tech Univ, China), Edited by (Fe Jen Catholic Univ, Taiwan), Edited by (Kinjo Gakuin Univ, Japan)
  • Formāts: 380 pages
  • Izdošanas datums: 03-Feb-2014
  • Izdevniecība: World Scientific Publishing Co Pte Ltd
  • ISBN-13: 9789814571944
Citas grāmatas par šo tēmu:
  • World Scientific e-book
  • Cena: 159,33 €*
  • * this price gives unlimited concurrent access for unlimited time
Reliability Modeling with Applications: Essays in Honor of Professor Toshio Nakagawa on His 70th BirthdayPalielināt
  • Formāts: 380 pages
  • Izdošanas datums: 03-Feb-2014
  • Izdevniecība: World Scientific Publishing Co Pte Ltd
  • ISBN-13: 9789814571944
Citas grāmatas par šo tēmu:
World Scientific e-booksMore info about World Scientific e-books
Rokasgrāmatas mājas lapa: http://www.worldscientific.com/worldscibooks/10.1142/9023#t=toc
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.
Preface v
Maintenance Policies 1(98)
1 A Dynamic Programming Approach for Sequential Preventive Maintenance Policies with Two Failure Modes
3(14)
Hiroyuki Okamura
Tadashi Dohi
Shunji Osaki
1 Introduction
3(2)
2 Sequential Imperfect PM
5(2)
3 DP Algorithm
7(3)
4 Numerical Examples
10(5)
5 Concluding Remarks
15(2)
2 Selective Maintenance for Complex Systems Considering Imperfect Maintenance Efficiency
17(34)
Mayank Pandey
Yu Liu
Ming J. Zuo
1 Introduction
17(4)
2 Selective Maintenance for Binary Systems
21(10)
2.1 Hazard Adjustment Factor
25(1)
2.2 System Reliability Evaluation
26(1)
2.3 Selective Maintenance Modeling
27(1)
2.4 Results
28(3)
3 Selective Maintenance for Multi-state Systems
31(15)
3.1 Selective Maintenance for MSS with Binary Components
32(7)
3.2 Selective Maintenance for MSS with Multistate Components
39(7)
4 Conclusion
46(5)
3 Random Replacement Policies
51(16)
Won Young Yun
Li Liu
1 Introduction
51(1)
2 Random Age Replacement Policies
52(9)
2.1 Standard Age Replacement Policy
53(1)
2.2 Random Age Replacement Policy
54(5)
2.3 Numerical Examples
59(2)
3 Preventive Replacement Policies with Random Opportunity Times
61(3)
3.1 Opportunity Age Replacement Model
61(1)
3.2 Number-based Replacement Policy
62(1)
3.3 Numerical Examples
63(1)
4 Extended Models
64(1)
5 Conclusion
65(2)
4 Optimal Replacement Interval of a Dual System
67(12)
Satoshi Mizutani
1 Introduction
67(1)
2 Modeling
68(4)
3 Optimal Policies
72(2)
3.1 Replacement in Random Failure Period
72(1)
3.2 Replacement in Wearout Failure Period
72(2)
4 Numerical Examples
74(2)
4.1 Replacement in Random Failure Period
75(1)
4.2 Replacement in Wearout Failure Period
75(1)
5 Conclusions
76(3)
5 Cumulative Damage Models with Random Working Times
79(20)
Xufeng Zhao
Cunhua Qian
Shey-Huei Shen
1 Introduction
79(2)
2 Modeling and Optimization
81(15)
2.1 Working Number N
82(1)
2.2 Replacement Over Time T or Level Z
83(6)
2.3 Replacement First and Last
89(7)
3 Conclusions
96(3)
Reliability Analysis 99(78)
6 Modules of Multi-State Coherent Systems - Order Theoretical Relations
101(16)
Fumio Ohi
1 Introduction
101(2)
2 Multi-state Coherent Systems
103(4)
3 Modules
107(7)
4 Concluding Remarks
114(3)
7 Calculation Algorithms for the System State Distributions of Multi-State k-out-of-n Systems
117(22)
Hisahi Yamamoto
Tomoaki Akiba
1 Introduction
117(2)
2 Definition for the Multi-state k-out-of-n Systems
119(2)
3 Theorem and Algorithm for the System State Distributions of the Generalized Multi-State k-out-of-n:F System
121(7)
4 Theorem and Algorithm for the System State Distributions of the Generalized Multi-State k-out-of-n:G System
128(5)
5 Evaluations
133(4)
5.1 Orders of Computing Time and Memory Size
133(2)
5.2 The Result of Numerical Experiments
135(2)
6 Conclusions
137(2)
8 Multi-state Components Assignment Problem with Optimal Network Reliability Subject to Assignment Budget
139(18)
Yi-Kuei Lin
Cheng-Ta Yeh
1 Introduction
139(2)
2 Assumptions
141(1)
3 SFN under a Components Assignment
141(3)
3.1 Network Reliability Evaluation
142(1)
3.2 Generate all d-MPs
143(1)
4 Problem Formulation
144(1)
5 Proposed Algorithm
144(3)
6 Numerical Experiments
147(6)
6.1 Example 1
147(2)
6.2 Example 2
149(4)
7 Conclusions
153(4)
9 Reliability Analysis of a Server System with Replication Schemes
157(20)
Mitsutaka Kimura
1 Introduction
157(2)
2 Server System with Replication using Journaling Files
159(9)
2.1 Reliability Quantities
159(5)
2.2 Optimal Policy
164(4)
3 Server System with Replication Buffering Relay Method
168(7)
3.1 Reliability Quantities
168(5)
3.2 Optimal Policy
173(2)
4 Conclusions
175(2)
Computer Systems 177(92)
10 Two-Dimensional Software Reliability Growth Models
179(16)
Shinji Inoue
Shigeru Yamada
1 Introduction
179(2)
2 Stochastic Quantities for Two-Dimensional Modeling
181(1)
3 Two-Dimensional Software Reliability Modeling
182(3)
3.1 Weibull-Type Two-Dimensional SRGM
182(1)
3.2 Binomial Two-Dimensional SRGM
183(2)
4 Parameter Estimation
185(2)
5 Model Comparison
187(3)
6 Numerical Examples
190(1)
7 Concluding Remarks
191(4)
11 Hybrid Coordinated Checkpointing Technique Using Incremental Snapshots
195(20)
Mamoru Ohara
Masayuki Arai
Satoshi Fukumoto
Kazuhiko Iwasaki
1 Introduction
195(2)
2 Proposed Technique: Hybrid Coordinated Checkpointing Using Incremental Snapshots
197(2)
3 Evaluation Model
199(5)
3.1 State Saving Overhead
200(2)
3.2 Recovery Cost
202(2)
4 Numerical Examples and Discussions
204(7)
5 Concluding Remarks
211(4)
12 Predicting Effort and Errors for Embedded Software Development Projects by Using an Artificial Neural Network
215(16)
Kazunori Iwata
Sayori Maeji
Toshio Nakagawa
1 Introduction
215(1)
2 Software Project Management and Issues
216(1)
3 Software Development Processes and Selection of Data
217(2)
3.1 Data Sets for Creating Models
218(1)
4 Effort and Error Prediction Models
219(5)
4.1 An Artificial Neural Network Model
219(2)
4.2 New Normalization of Data
221(2)
4.3 Multiple Regression Analysis Model
223(1)
5 Evaluation Experiment
224(3)
5.1 Evaluation Criteria
224(1)
5.2 Data Used in Evaluation Experiment
224(1)
5.3 Results and Discussion
225(2)
6 Conclusion
227(4)
13 Optimal Checkpoint Times for Database Systems
231(18)
Kenichiro Naruse
Sayori Maeji
1 Introduction
231(1)
2 Random Checkpoint Models
232(6)
2.1 Performance Analysis
234(4)
3 Database-node Models
238(7)
3.1 Performance Analysis
239(6)
4 Conclusion
245(4)
14 Periodic and Random Inspections for a Computer System
249(20)
Mingchih Cheri
Xufeng Zhao
Syouji Nakamura
1 Introduction
249(2)
2 Model I
251(7)
2.1 Periodic Inspection
251(1)
2.2 Random Inspection
252(2)
2.3 Comparison of Periodic and Random Inspections
254(3)
2.4 Nth Random Inspection
257(1)
3 Model II
258(8)
3.1 Periodic and Random Inspections
258(2)
3.2 Comparison of Periodic and Random Inspections
260(2)
3.3 Nth Random Inspection I
262(2)
3.4 Nth Random Inspection II
264(2)
4 Conclusions
266(3)
Reliability Applications 269(78)
15 Dynamic Fault Tree Analysis
271(20)
Tetsushi Yuge
Shigeru Yanagi
1 Introduction
271(1)
2 Dynamic Gates
272(1)
3 Analysis of Dynamic Fault Tree
273(5)
3.1 Markov Analysis
274(2)
3.2 Algebraic Approach
276(1)
3.3 Bayesian Network
277(1)
3.4 Monte Carlo and Petri-net
278(1)
3.5 Repairable Dynamic Fault Tree
278(1)
4 Algebraic Expression of DFT
278(10)
4.1 Temporal Functions and Operators
278(2)
4.2 Minimal Cut Sequences Set
280(3)
4.3 Sequence Probability
283(3)
4.4 Top Event Probability of DFT
286(2)
5 Conclusion
288(3)
16 Reliability Analysis and Modeling Technique for an Open Source Solution
291(16)
Yoshinobu Tamura
Shigeru Yamada
1 Introduction
291(1)
2 Modeling Technique
292(3)
2.1 Stochastic Differential Equation
292(2)
2.2 Jump Diffusion Process
294(1)
3 Parameter Estimation
295(2)
3.1 Method of Maximum-likelihood
295(1)
3.2 Estimation of Jump-diffusion Parameters
296(1)
4 Software Reliability Assessment Measures
297(1)
4.1 Stochastic Differential Equation Model
297(1)
4.2 Jump-diffusion Model
297(1)
5 Numerical Illustrations
298(6)
5.1 Data for Numerical Illustrations
298(1)
5.2 Reliability Assessment Results
298(6)
6 Concluding Remarks
304(3)
17 Maintenance Models of Miscellaneous Systems
307(24)
Kodo Ito
1 Introduction
307(2)
2 Optimal Maintenance Policy for a Damage System with Repair
309(6)
2.1 Model 1
310(3)
2.2 Model 2
313(2)
3 Comparison of Three Cumulative Damage Models
315(3)
3.1 Three Models
315(2)
3.2 Optimal Replacement Policies
317(1)
4 Optimal Imperfect Maintenance of Aircraft
318(10)
4.1 Model 1
320(4)
4.2 Model 2
324(4)
5 Conclusions
328(3)
18 Reliability Analysis of a System Connected with the Radio Link
331(16)
Mitsuhiro Imaizumi
1 Introduction
331(1)
2 Model 1
332(5)
2.1 Model and Analysis
332(4)
2.2 Optimal Policy
336(1)
3 Model 2
337(1)
3.1 Model and Analysis
337(1)
3.2 Optimal Policy
338(1)
4 Model 3
338(3)
4.1 Model and Analysis
338(2)
4.2 Optimal Policy
340(1)
5 Numerical Example
341(3)
6 Conclusion
344(3)
Studies on Reliability and Maintenance 347
19 Studies on Reliability and Maintenance
349
Toshio Nakagawa
1 Introduction
349(1)
2 Publication List
350
2.1 Academic Monographs
350(1)
2.2 Book
Chapters
350(2)
2.3 Papers
352
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