Reliability and statistical computing : modeling, methods and applications

Author(s)

    • Pham, Hoang

Bibliographic Information

Reliability and statistical computing : modeling, methods and applications

Hoang Pham, editor

（Springer series in reliability engineering）

Springer, 〓2020

Computer File（Remote）

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Note

6.1 Inclusion-Exclusion Principle

Includes bibliographical references

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Contents of Works

  • Intro
  • Preface
  • Contents
  • Editor and Contributors
  • Fatigue Life Distribution Estimation
  • 1 Introduction
  • 2 Fatigue Life Data
  • 3 Data Fusion for Fatigue Life Analysis
  • 4 Flt Analysis for 2024-T4 Fatigue Life Data
  • 5 FLT Analysis for ASTM A969 Fatigue Life Data
  • 6 FLT Analysis for 9Cr-1Mo Fatigue Life Data
  • 7 Observations and Conclusions
  • References
  • Reliability Improvement Analysis Using Fractional Failure
  • 1 Introduction
  • 2 Reliability Improvement with Fractional Failure Analysis
  • 2.1 Product Development Process and Reliability Challenges
  • 3 Fractional Failure Analysis (FFA) and ALT
  • 4 Reliability Improvement Study Using FFA
  • 5 Example
  • 6 Discussion
  • References
  • Modelling Innovation Paths of European Firms Using Fuzzy Balanced Scorecard
  • 1 Introduction
  • 2 Theoretical Background
  • 3 Research Methodology
  • 4 Experimental Results
  • 5 Conclusion
  • References
  • Innovation Environment in Europe-Efficiency Analysis Case Study
  • 1 Introduction
  • 2 Theoretical Background
  • 3 Data and Research Method
  • 4 Results
  • 5 Conclusions
  • References
  • Application of Artificial Intelligence in Modeling a Textile Finishing Process
  • 1 Introduction
  • 1.1 Color Fading Ozonation: A Textile Finishing Process
  • 1.2 Artificial Intelligent Techniques for Modeling Textile Process
  • 1.3 Modeling Color Fading Ozonation of Reactive-Dyed Cotton
  • 2 Experimental
  • 2.1 Material
  • 2.2 Apparatus
  • 2.3 Methods
  • 3 Algorithms of Intelligent Techniques and Structure for Modeling
  • 3.1 Extreme Learning Machine
  • 3.2 Support Vector Machine
  • 3.3 Random Forest
  • 3.4 Modeling Structure
  • 4 Results and Discussion
  • 4.1 Modeling Training
  • 4.2 Prediction Performance
  • 5 Conclusion and Prospective
  • References
  • Developing Alert Level for Aircraft Components
  • 1 Introduction
  • 2 Hong Kong Government Approved Maintenance Activities
  • 3 Condition Monitored Maintenance Program
  • 4 Data Collection
  • 5 Alert Level Development
  • 6 Recalculation of Alert Level
  • 7 Corrective Actions
  • 8 Essential Qualities of the CMMP
  • 9 Assessment of CMMP Document
  • 10 Case Study
  • 11 Helicopter Air-Conditioning System
  • 12 Compressor Failures
  • 13 Alert Level Calculation
  • 14 Conclusion
  • References
  • Computation in Network Reliability
  • 1 Introduction
  • 2 Preliminaries
  • 2.1 Modeling of Networks
  • 2.2 Evaluation of Network Reliability
  • 3 Network Representation
  • 3.1 The Proposed Approach
  • 3.2 Algorithm of Transformation from AM to LPS
  • 3.3 Illustrative Examples
  • 4 Searching for MPs
  • 4.1 The General Form of a Network Transforming to Its Directed One
  • 4.2 Algorithm for Searching MPs
  • 4.3 Illustrative Examples
  • 5 Searching for d-MPs
  • 5.1 Flow Enumerations
  • 5.2 Algorithm for Searching d-MPs
  • 5.3 Illustrative Examples
  • 6 Calculating the Union Probability for d-MPs

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