Reliability based airframe maintenance optimization and applications

Reliability Based Aircraft Maintenance Optimization and Applications presents flexible and cost-effective maintenance schedules for aircraft structures, particular in composite airframes. By applying an intelligent rating system, and the back-propagation network (BPN) method and FTA technique, a new...

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Detalles Bibliográficos
Otros Autores:	Ren, He, author (author), Chen, Yong, author, Chen, Xi, author
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	London, England : Academic Press 2017.
Edición:	1st edition
Materias:	Airplanes > Maintenance and repair. Airframes.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630343706719

Tabla de Contenidos:

Cover
Title page
Copyright page
Contents
List of Figures
List of Tables
About the Authors
Preface
Abbreviations
Abstract
Chapter 1 - Introduction
1.1 - Challenges of modern developing commercial aircraft
1.2 - Evolution of aircraft maintenance process
1.3 - Aircraft composite structures
1.4 - Reliability-centered maintenance
1.4.1 - Reliability Design
1.4.2 - Reliability-Centered Maintenance
1.5 - MSG-3 structural analysis
1.6 - A380 maintenance programs
1.7 - Summary
Chapter 2 - Basic Concepts
2.1 - Accident
2.1.1 - Accident in Aviation
2.1.2 - Accident Category in Aviation
2.2 - Near misses
2.3 - Risk
2.4 - Safety
2.5 - Reliability
2.6 - Risk management
2.7 - Incident
2.8 - Airworthiness
2.9 - Quality
2.10 - Airworthiness
2.11 - Availability
2.12 - Aircraft maintenance
2.13 - Sources and types of failure in aircraft
2.13.1 - Mechanisms of Failure
2.13.2 - Causes of Failure
2.13.3 - Sources of Failure
2.14 - Maintenance system and tasks
2.14.1 - Servicing
2.15 - Component servicing
2.16 - Overhaul
2.17 - Bay servicing
2.17.1 - Repair
2.17.2 - Modification
2.18 - Replacement/throwaway
2.19 - Functional testing
2.20 - Calibration
2.21 - Nondestructive evaluation
2.22 - Avionics maintenance
2.23 - Software maintenance
2.24 - Interdependence of operations and maintenance
2.24.1 - Factors Affecting the Airline's Maintenance System
2.24.1.1 - Seasonal Traffic Trends
2.24.1.2 - Geography of the Operation
2.24.1.3 - Location and Size of Maintenance Establishments
2.24.1.4 - Size and Composition of the Airline Fleet
2.24.1.5 - Aircraft Utilization
2.24.1.6 - Weather
2.24.1.7 - Availability of Subcontracting for Servicing and Maintenance
2.24.1.8 - Competitors' Operations.
2.24.1.9 - Availability of Staff
2.24.2 - Factors Affecting the Military Maintenance System
Chapter 3 - Aircraft Reliability and Maintainability Analysis and Design
3.1 - Reliability fundamental mathematics
3.1.1 - Density Function
3.1.2 - Failure Probability Function
3.1.3 - Failure Rate
3.1.4 - Reliability Function
3.1.5 - Bathtub Curve
3.1.6 - MTTF
3.2 - Some common failure distributions
3.2.1 - Exponential Distribution
3.2.2 - Weibull Distribution
3.2.3 - Normal Distribution
3.2.4 - Lognormal Distribution
3.2.5 - Summary of Often Used Distributions
3.3 - Binary system reliability models
3.3.1 - Series System
3.3.2 - Parallel System
3.3.3 - Standby Redundancy System
3.4 - Mechanical reliability-Stress-strength interference model
3.4.1 - Introduction of Theory
3.4.2 - Analytical Results
3.4.3 - Example
3.5 - Fuzzy reliability theory
3.5.1 - Irrationality of Conventional Reliability Theory
3.5.2 - Fuzzy Reliability Basic Theories
3.5.3 - Fuzzy Reliability
3.5.4 - Fuzzy Failure Rate
3.5.5 - Fuzzy MTBF
3.6 - Hardware reliability
3.6.1 - Failure Mechanisms and Damage Models
3.6.2 - Incorrect Mechanical Performance
3.6.3 - Incorrect Thermal Performance
3.6.4 - Incorrect Electrical Performance
3.6.5 - Electromagnetic Interference
3.6.6 - Particle Radiation
3.6.7 - Yield
3.6.8 - Buckling
3.6.9 - Fracture
3.6.10 - Interfacial Deadhesion
3.6.11 - Fatigue
3.6.12 - Creep
3.6.13 - Wear
3.6.14 - Aging Due to Interdiffusion
3.6.15 - Aging Due to Particle Radiation
3.6.16 - Other Forms of Aging
3.6.17 - Corrosion
3.6.18 - Metal Migration
3.7 - Maintainability analysis and design
3.7.1 - Definitions Used in Maintainability Engineering
3.7.2 - Measurements
3.7.3 - Maintainability Function.
3.7.4 - Often Used Maintainability Distributions
3.7.5 - Availability Models
3.7.6 - Effectiveness Models
3.8 - Specification of Maintainability
3.8.1 - Quantitative Maintainability Clauses
3.8.2 - Qualitative Maintainability Requirements
3.8.3 - Choice of a Maintainability Characteristic
3.9 - Assessment and prediction of maintainability
3.9.1 - Maintainability Prediction
3.9.2 - Prediction Advantages
3.9.3 - Techniques
3.9.4 - Basic Assumptions and Interpretations
3.9.5 - Elements of Maintainability Prediction Techniques
3.10 - Maintainability design: The affected factors
3.11 - Maintainability design: Criteria
3.12 - Maintainability design: Allocation
3.13 - Maintainability design-limiting clearance
3.14 - Maintainability design-accessibility
3.15 - Maintainability design-packaging
3.16 - Maintainability design-standardization and interchange ability
3.17 - Maintainability design-installation-components arrangement
3.18 - Maintainability design-general criteria
3.19 - Maintainability demonstration and testing
3.19.1 - Maintainability Testing Program
3.19.2 - Maintainability Demonstration
3.19.3 - Test Conditions
3.19.4 - Maintenance Task Selection
3.20 - Maintainability and reliability program activities during the phases of a project
3.20.1 - Definition Phase
3.20.2 - Design and Development (Including Initial Manufacture)
3.20.3 - Production
3.20.4 - Installation and Commissioning
3.20.5 - Operation-Usage and Maintenance
3.21 - Maintainability management
3.21.1 - Responsibilities Interface of Maintainability and Maintenance
3.21.2 - Maintainability Analysis
3.21.3 - Maintainability Design
3.21.4 - Maintainability Administration
Chapter 4 - RCM and Integrated Logistic Support
4.1 - Introduction.
4.2 - Maintenance analysis procedures
4.2.1 - The MSG Series Procedures
4.2.2 - Reliability-Centered Maintenance
4.2.3 - MSG-3 Logic
4.2.4 - Structures
4.2.5 - Fatigue Damage
4.2.6 - Environmental Deterioration
4.2.7 - Accidental Damage
4.2.8 - Systems and Power Plants
4.2.9 - Setting Task Frequencies/Intervals
4.3 - Statistical reliability assessment
4.4 - Logistic support analysis
4.4.1 - LSA Tasks
4.4.2 - Failure Mode Effect Analysis
4.5 - Fault tree analysis
4.5.1 - Qualitative Analysis of a Fault Tree
4.5.2 - Quantitative Analysis of a Fault Tree
4.6 - Level of repair analysis
4.7 - Logistic support analysis record
4.8 - LSA models
4.9 - Elements of ILS
4.10 - Support equipment
4.11 - Facilities
4.12 - Data
Chapter 5 - Intelligent Structural Rating System Based on Back-Propagation Network
5.1 - Introduction
5.2 - Artificial neural network
5.2.1 - Basic Theory
5.2.2 - Back-Propagation Network
5.3 - Design BPN for AD
5.3.1 - BPN Configuration
5.3.2 - Case Study
5.4 - Discussion
5.4.1 - Selection of Number of Nodes in Hidden Layers and Parameter Ratio
5.4.2 - Selection of Training Algorithms
5.5 - Conclusions
Chapter 6 - Fault Tree Analysis for Composite Structural Damage
6.1 - Introduction
6.2 - Basic principles of fault tree analysis
6.2.1 - Elements of FTA
6.2.2 - Boolean Algebra Theorems
6.3 - FTA for composite damage
6.4 - Qualitative analysis
6.4.1 - Minimal Cut Sets
6.4.2 - Structure Importance Analysis
6.4.3 - Probability Importance Analysis
6.4.4 - Relative Probability Importance Analysis
6.5 - Quantitative analysis
6.6 - Discussion
6.7 - Potential solutions
6.7.1 - Material Design
6.7.2 - Fabrication Process
6.7.3 - Personnel Training
6.7.4 - Surface Protection.
6.7.5 - Damage Evaluation and Life Prediction
6.8 - Conclusions
Chapter 7 - Inspection Interval Optimization for Aircraft Composite Structures Considering Dent Damage
7.1 - Introduction
7.2 - Damage tolerance philosophy of composite structures
7.2.1 - Properties of Aircraft Composite Structures
7.2.2 - Maintenance Model of Composite Structures
7.3 - Damage characterization
7.3.1 - Data Statistics and Category
7.3.2 - Damage Size Distribution
7.3.3 - Probability of Detection (POD)
7.4 - Probabilistic method
7.4.1 - Reliability Formulation
7.4.2 - Monte Carlo Simulation
7.5 - Case study
7.5.1 - Average Damages Per Life Cycle (Nd)
7.5.2 - Load Cases
7.5.3 - Damage Size and Occurrence Time
7.5.4 - Inspection Efficiency
7.5.5 - Residual Strength Reduction and Recovery
7.5.6 - Other Assumptions and Definitions to Facilitate the Simulation
7.6 - Simulation results and discussion
7.7 - Conclusions
Chapter 8 - Repair Tolerance for Composite Structures Using Probabilistic Methodologies
8.1 - Introduction
8.2 - Repair tolerance
8.3 - Probabilistic method
8.4 - Case study
8.4.1 - Load Case
8.4.2 - Average Damage Per Life Cycle (Nd)
8.4.3 - Damage Size Distribution
8.4.4 - Probability of Detection (POD)
8.4.5 - Inspection Schedule
8.4.6 - Residual Strength Reduction and Recovery
8.4.7 - Repair Policy
8.4.8 - Factor of Safety
8.4.9 - Probability of Failure (POF)
8.4.10 - Maintenance Cost
8.5 - Results and discussion
8.6 - Conclusions
Chapter 9 - Structural Health Monitoring and Influence on Current Maintenance
9.1 - Structural health monitoring technology
9.2 - SHM applications in aircraft
9.3 - Influence of SHM on current maintenance
9.4 - Integration of SHM with MSG-3 analysis
A - Scheduled Maintenance
B - Scheduled SHM.
C - Scheduled CBM.

Reliability based airframe maintenance optimization and applications

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