Reliability and statistical computing : modeling, methods and applications
著者
書誌事項
Reliability and statistical computing : modeling, methods and applications
(Springer series in reliability engineering)
Springer, 〓2020
機械可読データファイル(リモートファイル)
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
6.1 Inclusion-Exclusion Principle
Includes bibliographical references
Print version record
収録内容
- 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