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9783540431336

Stochastic Models in Reliability and Maintenance

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  • ISBN13:

    9783540431336

  • ISBN10:

    3540431330

  • Format: Hardcover
  • Copyright: 2002-06-01
  • Publisher: Springer Verlag
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Summary

This book contains 12 contributions on stochastic models in reliability and maintenance. Written by the leading researchers on each topic, each contribution surveys the current status on stochastic models emphasizing mathematical formulation and optimization applications. Each contribution is self-contained and has a thorough bibliography. The topics include renewal processes, semi-Markov processes, Markovian deterioration models, maintenance and replacement models, software reliability models and Monte-Carlo simulation. This book provides researchers, reliability engineers and graduate students with the current status of the field and future developments of the subject.

Table of Contents

Renewal Processes and Their Computational Aspects
1(30)
T. Dohi
N. Kaio
S. Osaki
Introduction
2(1)
Basic Renewal Theory
3(4)
Continuous renewal theory
3(3)
Discrete renewal theory
6(1)
Some Useful Properties of the Renewal Function
7(2)
Specific examples
7(1)
Asymptotic properties
8(1)
Analytical Approximation Methods
9(5)
Phase renewal processes
9(1)
Gamma approximations
10(3)
Methods based on equilibrium distribution
13(1)
Bounds
14(2)
Numerical Methods
16(7)
Laplace inversion technique
17(1)
Cubic spline algorithm
18(1)
Discritization algorithm
19(1)
Approximation by rational functions
20(3)
Concluding Remarks
23(8)
Stochastic Orders in Reliability Theory
31(34)
M. Ohnishi
Introduction
31(1)
Definitions and Basic Properties
32(10)
Stochastic orders generated from univariate functions
33(4)
Conditional stochastic orders
37(4)
Bivariate characterization of stochastic orders
41(1)
Applications in Reliability Theory
42(21)
Notions of aging
42(5)
Useful stochastic inequalities in reliability theory
47(1)
Stochastic comparisons of system reliabilities
48(3)
Redundancy improvement
51(2)
Stochastic comparisons of maintenance policies
53(1)
Replacements upon failures
53(1)
Age replacement
54(1)
Block replacement
55(1)
Minimal repair
56(1)
Minimal repair with block replacement
56(1)
Stochastic comparison of different maintenance policies
57(6)
TP2 Functions
63(2)
Classical Maintenance Models
65(24)
N. Kaio
T. Dohi
S. Osaki
Introduction
65(2)
Block Replacement
67(4)
Age Replacement
71(5)
Order Replacement
76(3)
Inspection Strategies
79(3)
Conclusions
82(7)
A Review of Delay Time Analysis for Modelling Plant Maintenance
89(36)
A. Christer
Introduction
89(4)
Maintenance Practice
93(1)
The Delay Time Concept
94(2)
Basic Delay Time Maintenance Model: Complex Plant
96(1)
Basic Maintenance Model: Component Tracking
97(1)
Relaxation of Assumptions
98(1)
Non-perfect Inspection
98(1)
Non-steady-state Condition
99(1)
Non-homogeneous Defect Arrival Rate λ
100(2)
Condition-dependent Cost and Downtime for Repair
102(1)
Case Experience Using Subjective Data: Case Experience
103(3)
Revision of Subjectively Estimated Delay Time Distribution
106(1)
Correction for Sampling Bias
106(1)
Subjective Estimation of the Delay Time Distribution Directly
107(1)
Objective Estimation of Delay Time Parameters
107(3)
Case Experience Using Objective Data: HPP of Defect Arrival
110(5)
Discussion of Further Developments in Delay Time Modelling
115(1)
Conclusions
116(9)
Imperfect Preventive Maintenance Models
125(20)
T. Nakagawa
Introduction
125(1)
Sequential Imperfect Preventive Maintenance
126(5)
Introduction
126(1)
Model A - age
127(1)
Model B - failure rate
128(1)
Numerical examples
129(2)
Shock Model with Imperfect Preventive Maintenance
131(8)
Introduction
131(1)
Model and expected cost
132(3)
Optimal policies
135(4)
Conclusions
139(6)
Generalized Renewal Processes and General Repair Models
145(20)
M. Kijima
Background and Motivation
145(4)
Generalized Renewal Processes
149(4)
g-Renewal Processes in Discrete Time
153(2)
Monotonicity and Asymptotic Properties of the g-Renewal Density
155(1)
On the g-Renewal Function
156(3)
A General Repair Model
159(6)
Two-Unit Redundant Models
165(28)
T. Nakagawa
Introduction
165(2)
Two-Unit Standby System
167(6)
Model and assumptions
167(2)
First-passage time distributions
169(1)
Expected numbers of visits to state
170(1)
Transition probabilities
171(2)
Preventive Maintenance of Two-Unit Systems
173(6)
Model and analysis
173(2)
Optimum preventive maintenance policies
175(3)
Replacement of a two-unit parallel system
178(1)
Other Two-Unit Systems
179(14)
Two-unit parallel system
179(2)
Two-unit priority standby system
181(1)
Two-unit standby system with imperfect switchover
182(2)
Other models
184(9)
Optimal Maintenance Problems for Markovian Deteriorating Systems
193(26)
H. Kawai
J. Koyanagi
M. Ohnishi
A Basic Optimal Replacement Problem for a Discrete Time Markovian Deteriorating System
193(2)
Some conditions on transition probabilities and cost structure
194(1)
Formulation by Markovian decision process (MDP)
194(1)
Optimality of control limit rule
195(1)
An Optimal Inspection and Replacement Problem
195(4)
Transition probability
196(1)
Formulation by semi-Markov decision process (SMDP)
196(1)
Structure of optimal inspection and replacement policy
197(2)
An Optimal Inspection and Replacement Policy with Incomplete Information
199(8)
Some notations and conditions
200(1)
Formulation by partially observable Markov decision process (POMDP)
200(2)
Some properties of TP2 order
202(2)
Some properties of optimal function
204(2)
Structure of optimal inspection and replacement policy
206(1)
A Continuous Time Markovian Deteriorating System
207(4)
A continuous time Markovian deteriorating system
207(1)
Transition probability
208(1)
Formulation by semi-Markov decision process
209(1)
Structure of optimal policy
209(2)
An Optimal Maintenance Problem for a Queueing System
211(8)
Model description
211(3)
Formulation by semi-Markov decision process
214(1)
Properties of value function
214(1)
Structure of optimal policy
215(4)
Transient Analysis of Semi-Markov Reliability Models - A Tutorial Review with Emphasis on Discrete-Parameter Approaches
219(34)
A. Csenki
Introduction
219(1)
Modelling Framework
220(2)
Dependability Measures
222(4)
Methods of Analysis
226(8)
Continuous-parameter models
226(7)
Discrete-parameter models
233(1)
Equations for the Dependability Measures
234(5)
Numerical Solution Techniques
239(3)
Solving the integral equations
239(1)
Discrete-parameter approximations
240(2)
Recent Developments, Conclusions and Further Work
242(11)
Software Reliability Models
253(28)
S. Yamada
Introduction
253(1)
Definitions and Software Reliability Model
254(2)
Software Reliability Growth Modeling
256(4)
Imperfect Debugging Modeling
260(5)
Imperfect debugging model with perfect correction rate
262(1)
Imperfect debugging model for introduced faults
263(2)
Software Availability Modeling
265(3)
Model description
265(1)
Software availability measures
266(2)
Application of Software Reliability Assessment
268(13)
Optimal software release problem
269(1)
Maintenance cost model
269(2)
Maintenance cost model with reliability requirement
271(1)
Statistical software testing-progress control
272(2)
Optimal testing-effort allocation problem
274(7)
Reliability Models in Data Communication Systems
281(26)
K. Yasui
T. Nakagawa
H. Sandoh
Introduction
282(1)
SW ARQ Model with Intermittent Faults
283(5)
Intermittent faults
283(2)
ARQ policy
285(2)
Optimal retransmission number
287(1)
Numerical examples and remarks
288(1)
SR ARQ Model with Retransmission Number
288(6)
Model and analysis
289(2)
Optimal policy
291(2)
Numerical examples and remarks
293(1)
Hybrid ARQ Models with Response Time
294(13)
Type-I hybrid ARQ
295(1)
Type-II hybrid ARQ
296(3)
Comparison of type-I and type-II hybrid ARQs
299(1)
Numerical examples and remarks
300(7)
Quick Monte Carlo Methods in Stochastic Systems and Reliability
307(28)
C. Papadopoulos
N. Limnios
Introduction
307(1)
The Problem with Direct Simulation
308(1)
Importance Sampling
309(1)
The Optimal Change of Measure
310(4)
Remarks
310(1)
Preliminary definitions
311(1)
The recursive approach
312(2)
Exact calculation of γ(x)
314(1)
Cases of Application of the Recursive Approach
314(2)
System Model
316(2)
Regenerative Simulation
318(1)
Failure Biasing Methods
319(4)
Simple failure biasing (SFB)
319(1)
Balanced failure biasing (BFB)
320(1)
Bias2 failure biasing
321(1)
Failure distance biasing (FDB)
322(1)
Balanced 1 failure biasing (B1FB)
322(1)
Balanced 2 failure biasing (B2FB)
323(1)
Bounded relative error and failure biasing
323(1)
Unreliability Estimation
323(3)
One-component system
323(1)
General case
324(2)
Example
326(1)
Analytical-Statistical Methods
326(3)
Concluding Remarks
329(6)
Index 335

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