Reliability and statistical computing : modeling, methods and applications
Author(s)
Bibliographic Information
Reliability and statistical computing : modeling, methods and applications
(Springer series in reliability engineering)
Springer, 〓2020
Computer File(Remote)
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
6.1 Inclusion-Exclusion Principle
Includes bibliographical references
Print version record
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