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Advances in Reliability, Failure and Risk Analysis

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Table of Contents

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    Book Overview
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    Chapter 1 Degradation and Failure Mechanisms of Complex Systems: Principles
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    Chapter 2 Simplified Approach to Analyse the Fuzzy Reliability of a Repairable System
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    Chapter 3 Bayesian Reliability Analysis of Topp-Leone Model Under Different Loss Functions
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    Chapter 4 Reliability Metrics of Textile Confection Plant Using Copula Linguistic
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    Chapter 5 An Application of Soft Computing in Oil Condition Monitoring
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    Chapter 6 A Multi-parameter Occupational Safety Risk Assessment Model for Chemicals in the University Laboratories by an MCDM Sorting Method
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    Chapter 7 Smart Failure Mode and Effects Analysis (FMEA) for Safety–Critical Systems in the Context of Industry 4.0
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    Chapter 8 Optimization of Redundancy Allocation Problem Using Quantum Particle Swarm Optimization Algorithm Under Uncertain Environment
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    Chapter 9 Resilience: Business Sustainability Based on Risk Management
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    Chapter 10 Reliability Analysis of Process Systems Using Intuitionistic Fuzzy Set Theory
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    Chapter 11 Smart Systems Risk Management in IoT-Based Supply Chain
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    Chapter 12 Risk and Reliability Analysis in the Era of Digital Transformation
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    Chapter 13 Qualitative Analysis Method for Evaluation of Risk and Failures in Wind Power Plants: A Case Study of Turkey
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    Chapter 14 Some Discrete Parametric Markov–Chain System Models to Analyze Reliability
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    Chapter 15 Distributed System Reliability Analysis with Two Coverage Factors: A Copula Approach
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    Chapter 16 Repair and Maintenance Management System of Food Processing Equipment
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    Chapter 17 Reliability, Availability, Maintainability, and Dependability of a Serial Rice Mill Plant (RMP) with the Incorporation of Coverage Factor
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Title
Advances in Reliability, Failure and Risk Analysis
Published by
Springer Nature Singapore, April 2023
DOI 10.1007/978-981-19-9909-3
ISBNs
978-9-81-199908-6, 978-9-81-199909-3
Editors

Garg, Harish

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