لایب سان

Ebook details:
عنوان: Amazon.com
نویسنده: Multi-State System Reliability
ناشر: World Scientific Pub Co Inc (March 12, 2003)
زبان: English
شابک: 9812383069, 978-9812383068
حجم: 17 Mb
فرمت: True Pdf

Intro; Contents; Preface; Introduction and brief historical overview; General notation and acronyms; Chapter 1. Basic concepts of Multi-State Systems; 1.1. Multi-state systems: main definitions and properties; 1.1.1. Generic MSS model; 1.1.2. Main properties of MSS; 1.2. Multi-state system reliability and its measures; 1.2.1. MSS acceptability function and reliability; 1.2.2. Relevancy and coherency in MSS reliability context; 1.2.3. MSS reliability indices; 1.3. Types of MSS; 1.3.1. MSS with typical simple configurations; 1.3.2. Systems with two failure modes; 1.3.3. Weighted voting systems 1.3.4. Multi-state consecutively connected systems1.3.5. Multi-state sliding window systems; 1.3.6. Multi-state networks; Exercises; References; Chapter 2. Extension of Boolean methods for MSS reliability analysis; 2.1. Multi-valued structure function approach; 2.1.1. Path and cut vectors; 2.1.2. Multi-valued structure function; 2.1.3. Evaluating the system reliability indices; 2.1.4. Reliability bounding; 2.2. Multi-state block diagrams and fault trees; 2.2.1. Structure function representation using binary variables; 2.2.2. MSS reliability block diagrams; 2.2.3. MSS fault trees 2.2.4. Multi-valued logic trees and Boolean algebra with restrictionsExercises; References; Chapter 3. Basic random processes methods for MSS reliability assessment; 3.1. General concepts; 3.2. Markov models; 3.2.1. Main definitions and properties; 3.2.2. Markov models for evaluating reliability of multi-state elements; 3.2.3. Markov models for evaluating the reliability of the multistate system; 3.3. Markov reward models; 3.3.1. Basic definitions and model description; 3.3.2. Computation of MSS reliability measures; 3.4. Semi-Markov models; 3.4.1. Definition of Semi-Markov process 3.4.2. Evaluation of MSS reliability indices based on semi- Markov modelsExercises; References; Chapter 4. Universal Generating Function (UGF) models; 4.1. Mathematical fundamentals; 4.1.1. Definition of universal generating function; 4.1.2. Evaluating MSS reliability indices based on the UGF; 4.1.3. Properties of composition operators; 4.2. Reliability block diagram method; 4.2.1. UGF of subsystems containing series elements; 4.2.2. UGF of subsystems containing parallel elements; 4.2.3. UGF of series-parallel systems; 4.2.4. Bridge structure 4.2.5. Combined UGF and the random process technique4.3. Reliability assessment for different types of MSS; 4.3.1. Systems with Two Failure Modes; 4.3.2. Weighted voting systems and classifiers; 4.3.3. Linear multi-state consecutively-connected systems; 4.3.4. Sliding window systems; 4.3.5. Multi-state networks; 4.3.6. Incorporating common cause failures into UGF models; 4.4. UGF based method of MSS importance and sensitivity analysis; Exercises; References; Chapter 5. MSS reliability optimization; 5.1. Optimization problems in reliability

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