Reliability Engineering and Computational Intelligence (Studies in Computational Intelligence, 976)

✍ Scribed by Coen van Gulijk (editor), Elena Zaitseva (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 307
• Edition: 1st ed. 2021
• Category: Library

✦ Synopsis

Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field.  

This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology. 

✦ Table of Contents

Preface
Contents
Mathematical and Computational Intelligence Methods in Reliability Engineering
System Reliability Analysis and Assessment by Means of Logic Differential Calculus and Hasse Diagram
1 Introduction
2 Structure Function and Logic Differential Calculus
2.1 Logic Differential Calculus
2.2 Minimal Path Vectors and Logic Differential Calculus
2.3 Minimal Cut Vectors and Logic Differential Calculus
2.4 Hand Calculation Example
3 Graph of the Structure Function
3.1 Hasse Diagram of an Ordered Set of Variables
3.2 State Diagram of the Structure Function of a System
3.3 Ordered and Ordered Weighted Graphs of the System
3.4 How to Build the Ordered Graph?
3.5 Reliability Computing Algorithm
4 Conclusion
References
The Survival Signature for Quantifying System Reliability: An Introductory Overview from Practical Perspective
1 Introduction
2 Survival Signature
3 Exchangeability of Components' Failure Times
4 Computation, Simulation and Inference
5 Recent Developments
6 Further Considerations
References
Application of Fuzzy Decision Tree for the Construction of Structure Function for System Reliability Analysis Based on Uncertain Data
1 Introduction
2 MSS Structure Function
3 Principal Steps of Method for Structure Function Construction
4 Data Transformation
5 Fuzzy Decision Tree Induction Based on Cumulative Mutual Information
6 Case Study: Reliability Analysis of the System Failure Prediction
7 Conclusion
References
Unavailability Optimization of a System Undergoing a Real Ageing Process Under Failure Based PM
1 Introduction
2 Notation
3 Renewal Process Model
3.1 Unavailability Analysis
4 Unavailability Optimization of a Selected System
4.1 Selected System with Latent Failures, Inspection Period τ= 120 Days
4.2 Optimization of FBM Under Unavailability Restriction
4.3 Optimization of Inspection Period Under Unavailability Restriction
4.4 Optimization of FBM at Fixed Inspection Period and Under Unavailability Restriction
5 Conclusions
References
Minimal Filtering Algorithms for Convolutional Neural Networks
1 Introduction
2 Preliminary Remarks
3 Minimal Filtering Algorithms
3.1 Algorithm 1, M = 3
3.2 Algorithm 2, M = 5
3.3 Algorithm 3, M = 7
3.4 Algorithm 4, M = 9
3.5 Algorithm 5, M = 11
4 Implementation Complexity
5 Conclusion
References
Digital Technologies in Reliability Engineering
New Challenges and Opportunities in Reliability Engineering of Complex Technical Systems
1 Introduction
2 The Probabilistic Risk Assessment Process
2.1 Current Process
2.2 Game Changers
2.3 Envisioned Process
2.4 Discussion
3 Model-Based Safety Assessment
3.1 The Promise of Model-Based Risk Assessment
3.2 The S2ML+X Paradigm
3.3 S2ML in a Nutshell
3.4 AltaRica 3.0
3.5 Textual Versus Graphical Representations
4 Challenges
4.1 Transforming Big Data into Smart Data
4.2 Handling the Increasing Complexity of Systems
4.3 Computational Complexity of Probabilistic Risk Assessment
4.4 Integrating Seamlessly Models and Data Sets into the Digital Twin
4.5 Managing the Change
5 Conclusion
References
Development of Structured Arguments for Assurance Case
1 Introduction
1.1 History and Concept of Assurance Case
1.2 Goal and Structure
2 State of the Art
2.1 Assurance Case for Attributes Assessment
2.2 Assurance Case Based Certification
2.3 Assurance Based Development
2.4 Assurance Case for Knowledge Management
2.5 Improvement of Argumentation
3 Development of the Structured Argumentation Method
3.1 Transformation of Typical Arguments in a Structured Argument Form
3.2 Argumentation Improvement: Hierarchy of Requirements and Templates of Structured Text
3.3 Algorithm for the Structured Argumentation Method
4 Case Study: Application of the Structured Argumentation Method
5 Conclusion
References
Making Reliability Engineering and Computational Intelligence Solutions SMARTER
1 Introduction
2 Basic Building Blocks of Effective RECI Solutions
2.1 RECI as Part of EA
2.2 Viable RECI Algorithms for EA
2.3 Ontology
2.4 Visualisation
3 SMARTER Projects for RECI
3.1 Reach
3.2 Exciting
3.3 Specific
3.4 Realistic
3.5 Measurable
3.6 Assignable
3.7 Time-Related
4 Conclusion
References
Method for Determining the Structural Reliability of a Network Based on a Hyperconverged Architecture
1 Introduction
1.1 Motivation
1.2 State of the Art
1.3 Goal and Tasks
2 Assessing the Structural Reliability of a Module of the Network Based on HCP
2.1 Modified Moore-Shannon Method for Assessing the Structural Reliability of a Network Based on HCP
2.2 Selecting the Network Reliability Indices on the HCP
2.3 The Algorithm of Structural Reliability Calculation
3 Results and Discussion
4 Conclusions
References
Database Approach for Increasing Reliability in Distributed Information Systems
1 Introduction
2 Related Work
3 Our Contribution
4 Experiments
5 Conclusion
References
Time Dependent Reliability Analysis of the Data Storage System Based on the Structure Function and Logic Differential Calculus
1 Introduction
2 Structure Function
3 Logic Differential Calculus
4 Importance Measures
4.1 Reliability Importance Measures
4.2 Lifetime Importance Measures
5 Case Study
6 Conclusion
References
Energy Efficiency for IoT
1 Motivation
1.1 Demarcation Between IoP, IoS and IoT
1.2 IoT Enabling Network Technologies
1.3 Case Study 1: Energy-Efficient IoT with LoRa WAN
1.4 To the Structure of this Work
2 Energy-Efficient Approaches and Solutions
2.1 Energy Efficiency for Combined Infrastructure Wireless Sensor Networks
2.2 Case Study 2: Multi-Layered Monitoring and Control for Infrastructure WSN
3 A Multi-Layered Approach and the Principles for Energy Efficiency in WSN and WPAN
4 Energy Efficiency in Contactless Communication Via RFID and NFC
4.1 Energy Efficiency Via RFID and NFC
4.2 Case Study 3: Energy-Efficient Monitoring and Management of Farm Animals Via RFID and Wi-Fi
5 Conclusions and Outlook
References
Image Analysis and Other Applications of Computational Intelligence in Reliability Engineering
Knowledge-Based Multispectral Remote Sensing Imagery Superresolution
1 Introduction
2 Spectral Band Translation
3 Image Superresolution
3.1 Fourier Transform
3.2 Image Shift Direction
3.3 Arbitrary Shift
3.4 Pixel Number Reduction
3.5 Linear Regression Model with a Priory Data
4 Convolutional Neural Networks Implement
5 Actual Resolution Evaluation
6 Results
7 Conclusions
References
Neural Network Training Acceleration by Weight Standardization in Segmentation of Electronic Commerce Images
1 Introduction
2 Training SET
3 Weight Standardization
4 Image Segmentation Using Yolact
5 Experiments and Results
6 Discussions and Conclusion
References
Waterproofing Membranes Reliability Analysis by Embedded and High-Throughput Deep-Learning Algorithm
1 Introduction
2 Problem Formulation
2.1 Water-Repellent Membranes: Some Comments
2.2 The Reliability Model of Membrane Surface
3 Research Methodology
3.1 Method Overview
3.2 Dataset
3.3 Image Recognition: Basic Technique
4 Results
5 Conclusions
References
Network of Autonomous Units for the Complex Technological Objects Reliable Monitoring
1 Introduction
2 The Complex Technological Objects Monitoring
3 IoT for Technological Objects Monitoring
4 Monitoring System Design
5 System Graphic Data Processing
5.1 Solving the Problem of Visual Navigation by Onboard Cameras of a Mobile Unit
5.2 Solving the Problem of Visual Navigation of a Mobile Unit by External Stationary Cameras
6 Conclusions
References
A Correlative Method to Rank Sensors with Information Reliability: Interval-Valued Numbers Case
1 Introduction
2 Theoretical Information
2.1 Interval-Valued Numbers and Sequences
2.2 Calculation of the Correlation Coefficient Between Sequences of Interval-Valued Numbers
3 Setting the Objectives
4 The Method
5 Numerical Example
6 Conclusion
References
COVID-19 Pandemic Risk Analytics: Data Mining with Reliability Engineering Methods for Analyzing Spreading Behavior and Comparison with Infectious Diseases
1 Introduction
2 Goal of Research Study
3 Methods
3.1 Weibull Distribution Model
3.2 Cox-Stuart Trend Test
4 DataBase
5 Data Quality and Impact on Uncertainty
6 Analyses of the COVID-19 Spreading Behavior
6.1 Infection (Confirmed Cases) Before Lockdown
6.2 Infection (Confirmed Cases) After Lockdown
6.3 Second Wave Detection
6.4 Infection (Confirmed Cases) Second Wave
7 Comparison of the COVID-19 Spreading Behavior with Other Infectious Diseases
7.1 Influenza and Measles
7.2 Comparison: COVID-19 Versus Influenza Versus Measles
8 Summary
References