Advances in Reliability Science. Engineering Reliability And Risk Assessment

Description

Cover Advances in Reliability Science: Engineering Reliability and Risk Assessment Copyright Contributors 1. Bayesian networks for failure analysis of complex systems using different data sources 1. Introduction 2. Risk, reliability, and uncertainty 3. Bayesian networks (BNs) 4. Probabilistic failure analysis of hydropower dams 5. Summary and conclusions References 2. Failure modes and effect analysis model for the reliability and safety evaluation of a pressurized steam trap 1. Introduction 2. Hybrid failure modes and effects analysis model 2.1 Complex intuitionistic fuzzy set (CIFS) 2.2 Complex intuitionistic fuzzy Bonferroni mean (CIFBM) operator 2.3 Complex intuitionistic Fuzzy-VIKOR model 2.4 Algorithm of the hybrid failure modes and effects analysis model 3. Numerical illustration 3.1 Results and discussion 3.2 Observation from the model implementation 4. Conclusions References 3. Reliability and availability analysis of a standby system with activation time and varying demand Nomenclature 1. Introduction 2. Assumptions for proposed model 3. Proposed system (model) 4. Description of model 4.1 Mean sojourn times and transition probabilities 4.2 Mean time to system failure (MTSF) 4.3 Availability analysis 4.3.1 A single unit is operative 4.3.1.1 Production made by a single unit is greater than demand 4.3.1.2 Demand≥production by a single unit and “