
Through-life Engineering Services
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Demonstrating the latest research and analysis in the area of through-life engineering services (TES), this book utilizes case studies and expert analysis from an international array of practitioners and researchers - who together represent multiple manufacturing sectors: aerospace, railway and automotive - to maximize reader insights into the field of through-life engineering services.
As part of the EPSRC Centre in Through-life Engineering Services program to support the academic and industrial community, this book presents an overview of non-destructive testing techniques and applications and provides the reader with the information needed to assess degradation and possible automation of through-life engineering service activities . The latest developments in maintenance-repair-overhaul (MRO) are presented with emphasis on cleaning technologies, repair and overhaul approaches and planning and digital assistance. The impact of these technologies on sustainable enterprises is also analyzed.
This book will help to support the existing TES community and will provide future studies with a strong base from which to analyze and apply techn9olgical trends to real world examples.
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This book is supported by the research and work that is being undertaken by the EPSRC Centre for Innovative Manufacture in Through-life Engineering Services and continues to build on the EPSRC IMRC research findings relative to Product Service Systems, servitization, and on-going case work with industrial partners. The research within the centre is currently supported by several major industrial organisations which include Rolls Royce, BAE Systems, Bombardier Transportation Plc, and the Ministry of Defence (UK).
Content
- Intro
- Some Food for Thought!
- Foreword
- Preface
- Acknowledgments
- Contents
- 1 Introduction
- Abstract
- 1.1 Background and Rationale for This Book
- 1.2 Derivation of the Book Structure
- References
- Part I Introduction to Through-lifeEngineering Services
- 2 Through-Life Engineering Services: Definition and Scope: A Perspective from the Literature
- Abstract
- 2.1 Introduction to, and Definition of, Through-Life Engineering Services (TES)
- 2.1.1 Evolution of Maintenance in Support of Manufactured Products
- 2.2 Through-Life Engineering Services---a Definition
- 2.3 The Scope of Through-Life Engineering Services
- 2.3.1 Knowledge of Use
- 2.3.2 Knowledge of Diagnostics and Prognostics Aligned to Degradation Mechanisms
- 2.3.3 Knowledge of Failure Modes and Degradation Mechanisms
- 2.3.4 Knowledge of Means of Repair (Restore Design Function)
- 2.3.5 Knowledge of Design and Manufacturing
- 2.3.6 Knowledge of Systems
- 2.3.7 The Role of Standards, Procedures, and Codes of Practice in TES
- 2.4 Conclusion
- References
- 3 Through-Life Engineering Services: The NedTrain Case
- Abstract
- 3.1 Introduction
- 3.2 The Company
- 3.2.1 High Costs of Rolling Stock
- 3.2.2 Fleet Development
- 3.3 Design of New Trains
- 3.3.1 System Integrator and Maintenance Integrator
- 3.3.2 New Sprinter Light Train
- 3.4 Operational Processes in Order (2005--2010)
- 3.5 Technical Management Close to the Workshop Floor (2010--2015)
- 3.5.1 Continuous Improvement of Fleet Performance
- 3.6 Clear Information Provision: A Fundamental Prerequisite (2013--2015)
- 3.7 Rolling Stock Management (2013--2015)
- 3.8 Maintenance Closer to Operations (2015--2020)
- 3.8.1 Real Time Monitoring Enabling Dynamic Maintenance Scheduling
- 3.9 Life Cycle Logistics R&D Program
- 3.10 Investing in People
- 3.11 Summary
- Acknowledgments
- References
- Part II Data, Diagnostics and Prognostics
- 4 The Impact of No Fault Found (NFF) on Through Life Engineering Services
- Abstract
- 4.1 Introduction
- 4.2 No-Fault-Found (NFF) Taxonomy
- 4.3 Understanding NFF
- 4.4 The Consequence of NFF
- 4.5 Common Causes and Impact of NFF
- 4.6 General Causes
- 4.6.1 Organisational and Culture
- 4.6.2 Procedures and Rules
- 4.6.3 Operational Pressure
- 4.6.4 Technical Inefficiencies
- 4.6.5 Workforce Behaviours
- 4.7 Additional Subject Areas that Contribute to NFF
- 4.7.1 Training
- 4.7.2 Communication and Miscommunication
- 4.7.3 Lack of Historical Data
- 4.7.4 Supply Chain Effect
- 4.8 Technical Causes
- 4.8.1 Undefined or Inappropriate Performance Measures
- 4.8.2 BIT/BITE and Testing
- 4.8.3 Erroneous Repairs
- 4.8.4 Information on Usage and Operating Environment
- 4.8.5 Inadequate Design
- 4.8.6 Interactions Between Software in Integrated Systems
- 4.8.7 New Technology Adoption
- 4.9 Cost
- 4.9.1 First Level of Support
- 4.9.2 At the Second and Subsequent Levels of Support
- 4.9.3 In the Supply Chain
- 4.10 Diagnostic Success
- 4.11 Mitigation of NFF
- 4.12 Conclusion
- References
- 5 Holistic Prognostics
- Abstract
- 5.1 Definitions
- 5.1.1 The Full Range of Prognostics
- 5.1.2 Prognostics Type 1: Reliability Statistics
- 5.1.3 Prognostics Type 2---Environmental Factors
- 5.1.4 Prognostics Type 3---Individual Machine Effects
- 5.1.5 Measuring Failure Mechanisms or Direct Effects
- 5.1.6 A Proposed Extension to the Prognostics Model
- 5.1.7 Metrics for Prognostics
- 5.1.8 The Problems with Validation and Prognostic `Ground Truth'
- 5.1.9 Possible Solutions to Lack of Failure Data for Validation
- 5.2 Conclusion
- References
- 6 Ultra Low Carbon Vehicle Management Based on Telematic Monitoring
- Abstract
- 6.1 Introduction
- 6.2 Technical Aspects of Telemetry Systems
- 6.2.1 Telemetry System Functionality
- 6.2.2 Technological Enablers
- 6.3 Operational and Organisational Drivers for the Use of Telemetry Systems
- 6.4 Barriers to Increased Use of Telematics
- 6.4.1 On-Board Systems
- 6.4.2 Data Processing Considerations
- 6.4.3 Privacy Concerns
- 6.5 ULCV Specific Applications of Telematics
- 6.5.1 Management of Charge and Range
- 6.5.2 Telematic Condition Monitoring
- 6.6 Wider Benefits of Telematic Monitoring
- 6.6.1 Smart Traffic Management
- 6.6.2 Removing Road Signs
- 6.6.3 The Development of Autonomous Vehicle Technology
- 6.7 Conclusions
- References
- 7 A Weak Signal Detection Method Based on Stochastic Resonances and Its Application to the Fault Diagnosis of Critical Mechanical Components
- Abstract
- 7.1 Introduction
- 7.2 Fundamental of SR and Normalized Scale Transform
- 7.2.1 Fundamental of SR
- 7.2.2 Normalized Scale Transform of SR Model
- 7.2.3 Averaged SR Model with Normalized Scale Transform
- 7.2.4 Model Validation Using Simulated Data
- 7.3 SR Model by Adding a Harmonic Excitation
- 7.3.1 SR Interpretation via Melnikov Theory and Chaotic Dynamic Approach
- 7.3.2 Simulation for Enhancing the Detection of Weak Signal by Adding a Harmonic Excitation
- 7.3.2.1 Detecting Weak Signal at Low Frequency
- 7.3.2.2 Detecting Weak Signal with Arbitrary Frequency
- 7.4 Validation Using Experimental Data
- 7.4.1 Envelop Analysis
- 7.4.2 SR Output of Driven by Envelope Signal
- 7.4.3 Weak Characteristic Signal Detection by SR of Adding a Harmonic Excitation
- 7.5 Conclusion
- Acknowledgments
- References
- Part III Component Degradationand Design
- 8 Active Thermography in Through-Life Engineering
- Abstract
- 8.1 Introduction
- 8.2 Motivation
- 8.3 Thermography
- 8.3.1 Passive Thermography
- 8.3.2 Active Thermography
- 8.3.3 Pulsed Thermography
- 8.3.4 Lock-in Thermography
- 8.4 Pulsed Thermography---Case Study
- 8.5 Automation of Thermographic NDT
- 8.5.1 Data Capture Stage
- 8.5.2 Data Processing and Analysis Stage
- 8.6 Summary
- References
- 9 Maintenance, Repair and Overhaul in Through-Life Engineering Services
- Abstract
- 9.1 Introduction on MRO
- 9.2 Fraunhofer Innovation Cluster MRO
- 9.2.1 Condition Monitoring and Diagnosis
- 9.2.1.1 Data Mining and Visualization of Diagnostic Messages for Condition Monitoring
- Approach for Data Mining
- Data Mining with Graphical User Interface (GUI)
- 9.2.2 MRO Planning and Digital Assistance
- 9.2.2.1 Computer Vision Analysis of 3D Scanned Circuit Boards for Functional Testing and Redesign
- Printed Circuit Boards Specific 3D Digitization
- Recognition of Printed Circuit Boards Parts
- Segmentation of Pins and Printed Circuit Board Tracks
- 9.2.3 Cleaning
- 9.2.3.1 Development of a Miniaturised Cleaning Nozzle for Dry Ice Blasting
- 9.2.4 Repair and Overhaul Technologies
- 9.2.4.1 Repair Cell for Engine and Turbine Components
- Concept of a Robot-based Repair Tool Kit
- Process Chain
- Adaptive Robot-guided Grinding and Polishing
- Determining Technological Parameters for the Used Abrasive Belts
- Conclusion
- 9.2.4.2 Design of Experiments for Laser Metal Deposition in Maintenance, Repair and Overhaul Applications
- Materials and Experimental Procedure
- Effects on Bead Width and Height
- Summary and Outlook
- 9.3 Outlook to MRO in the Future
- Acknowledgments
- References
- 10 Modeling and Sequential Repairs of Systems Considering Aging and Repair Effects
- Abstract
- 10.1 Introduction
- 10.2 A Modified Proportional Failure Intensity Model
- 10.3 Statistical Inference and Approximation
- 10.3.1 Maximum Likelihood Estimates
- 10.3.2 Tests for Aging and Repair Effects
- 10.3.3 Fisher Information Matrix
- 10.3.4 Approximation and Confidence Bounds for m(t) and lambda (t)
- 10.4 Application to Sequential Repair/Replacement Decision-Making
- 10.4.1 Mathematical Formulation
- 10.4.2 Distribution of Short-Run Cost Rate
- 10.5 Numerical Examples
- 10.5.1 Aircraft Air-Conditioning Equipment Data
- 10.5.2 Hydraulic Systems Data
- 10.6 Conclusion
- A.1. Appendix 1: Proof of Theorem 1
- A.2. Appendix 2: Proof of Theorem 2
- A.3. Appendix 3: Proof of Theorem 3
- References
- 11 Cold Spray Coating Technology for Metallic Components Repairing
- Abstract
- 11.1 Introduction
- 11.2 Basic Features and Equipment
- 11.3 Physical and Mechanical Properties
- 11.4 Applications
- 11.5 Conclusions
- References
- Part IV System Degradationand Design in TES
- 12 Through-Lifecycle Aspects for Functional Products to Consider During Development and Operation: A Literature Review
- Abstract
- 12.1 Introduction
- 12.2 Research Approach
- 12.3 Literature Review---Existing and Potential New Through-Lifecycle Aspects for Functional Products
- 12.4 Discussion and Conclusions
- Acknowledgments
- References
- 13 Understanding Maintenance Decisions: How to Support Acquisition of Capital Assets
- Abstract
- 13.1 Introduction
- 13.2 Methodology
- 13.3 Results of Literature Review
- 13.3.1 Strategic, Tactical and Operational Decisions
- 13.3.2 Strategic Maintenance Decisions
- 13.4 Results of Case Research
- 13.4.1 New Approach to Planning Maintenance During Acquisition
- 13.4.2 Strategic, Tactical and Operational Decisions
- 13.4.3 Strategic Decisions
- 13.5 Discussion
- 13.6 Conclusions
- Acknowledgments
- References
- 14 Integration of Operational Data into Maintenance Planning
- Abstract
- 14.1 Introduction
- 14.2 State of the Art
- 14.2.1 Life Expectancy Models
- 14.2.2 Proportional Hazards Model
- 14.2.3 Kalman Filter
- 14.2.4 Hidden Markov Models
- 14.3 Applications
- 14.4 State of the Art Assessment
- 14.5 Approach
- 14.6 Data Processing
- 14.7 Weibull PHM
- 14.7.1 Cost Minimal Replacement
- 14.7.2 Application
- 14.8 Summary
- Acknowledgments
- References
- 15 Integrated Maintenance System Trend and a Maintenance Scheduling System Application
- Abstract
- 15.1 Introduction
- 15.2 Reviews of Previous Studies
- 15.2.1 Changes of Maintenance Methods
- 15.2.2 Optimization of Operation and Maintenance
- 15.2.3 Proactive Maintenance for Re-entrant Flow Manufacturing
- 15.3 A New Proactive Scheduling Method for Maintenance
- 15.3.1 Problem Definition
- 15.3.2 Solving Method
- 15.3.3 PSM Computational Model
- 15.3.3.1 Transfer to Process s Without Wait Time
- 15.3.3.2 Transfer to Process s After Some Wait Time
- 15.3.4 PSM Solution by Multi-Start/Greedy Method
- 15.3.4.1 Algorithm Flow in Proposed Method
- 15.3.4.2 Optimization by Multi-Start/Greedy Method
- 15.3.5 Experimental Results and Application Trial
- 15.3.5.1 Effectiveness Verification by Numerical Experiment
- 15.3.5.2 Comparative Experiment Results with Lagrangian Decomposition Coordination
- 15.3.5.3 Application Trial Result to Actual Production System
- 15.3.6 PSM Summary
- 15.4 Summary
- Acknowledgments
- References
- 16 Managing Design Change with Functional Blueprints
- Abstract
- 16.1 Introduction
- 16.1.1 Comparison with Alternative Approaches
- 16.2 Functional Blueprints
- 16.2.1 Application to Electromechanical Design
- 16.2.2 Diagnosis and Assistive Design
- 16.3 Adapting Electromechanical Designs
- 16.3.1 Convergence of Functional Blueprint Networks
- 16.3.2 Parametric Versus Qualitative Design Changes
- 16.3.3 Reusability of Functional Blueprints
- 16.4 Expanding the Plasticity of Design
- 16.5 Applications and Open Problems
- References
- Part V Cost, Uncertainty, Risk,and Standards
- 17 Obsolescence Management
- Abstract
- 17.1 Introduction
- 17.2 Cost of Obsolescence
- 17.3 How to Manage Obsolescence
- 17.3.1 Obsolescence Mitigation Strategies
- 17.3.2 Obsolescence Resolution Approaches
- 17.4 Obsolescence Cost Estimating Framework
- 17.5 Discussion and Conclusions
- References
- 18 Planning to Extend the Life of Major Assets: Metro Rail Example
- Abstract
- 18.1 Introduction
- 18.2 Objectives
- 18.3 Lifecycle Reliability Engineering
- 18.4 Asset Management Planning
- 18.5 Preparation
- 18.6 Data Gathering
- 18.7 Data Analysis
- 18.8 Root Cause Analysis
- 18.9 A3 Problem Solving Process
- 18.10 Reliability Growth Plan (RGP)
- 18.11 Asset Management Planning
- 18.12 Reliability Centred Maintenance (RCM)
- 18.12.1 Asset Management Planning, a Reprise
- 18.12.2 Whole Life Cost Model (WLCM) Methodology
- 18.12.3 WLCM Inputs
- 18.12.4 Asset Definition
- 18.12.5 WLCM Asset Definition Example
- 18.12.6 Maintenance Costs
- 18.12.7 Whole Life Cost Model---Input Data
- 18.12.8 Whole Life Cost Model---Output Data
- 18.13 Conclusions
- Reference
- 19 Identification of Risks Related to Integrated Product Service Offerings of Rail Infrastructure: A Swedish Case
- Abstract
- 19.1 Introduction
- 19.2 Integrated Product Service Offerings
- 19.3 Methodology
- 19.3.1 Individual Interviews
- 19.3.2 Group Interview
- 19.4 Rail Infrastructure Procurement in Sweden
- 19.5 IPSOs for Rail Infrastructure
- 19.6 Identified Risk Aspects
- 19.6.1 Size, Duration and Quality of the IPSO Contracts
- 19.6.2 Risk Allocation in Contracts
- 19.6.3 Supply Chain Management in IPSO Contracts
- 19.7 Discussion of Contractual Aspects of IPSO Contracts
- 19.7.1 Allocation of Risk in IPSO Contracts
- 19.7.2 The Need for Renegotiations
- 19.7.3 Lack of Information
- 19.7.4 Evaluation During and After the Contract
- 19.8 Discussion of Organizational Aspects of IPSO Contracts
- 19.8.1 Supply Chain Considerations
- 19.8.2 Change of Mindset
- 19.8.3 Lack of Trust
- 19.9 Concluding Discussion
- 19.9.1 This Work in a Larger Context
- 19.9.2 Further Research Is Needed
- Acknowledgments
- References
- 20 Managing Obsolescence Risk
- Abstract
- 20.1 Introduction
- 20.2 Forecasting Obsolescence
- 20.2.1 Data Mining Based Obsolescence Forecasting
- 20.2.1.1 Sales Curve Forecasting for Parts with Evolutionary Parametric Drivers
- 20.2.1.2 Procurement Life Modeling
- 20.3 Obsolescence Management
- 20.3.1 Reactive Obsolescence Mitigation
- 20.3.2 Strategic Obsolescence Management
- 20.4 Software Obsolescence
- 20.5 Human Skills Obsolescence
- 20.6 Discussion
- References
- 21 TES Service Innovation and the Role of Standards
- Abstract
- 21.1 Introduction
- 21.2 Scope of TES, and Importance of the Service Context
- 21.3 The Role of Standards in Business Model Innovation
- 21.4 Standards Applicable to TES and Tailoring Guidelines
- 21.5 Value-Driving Activities and Processes---A Framework Standard for TES
- 21.5.1 Value and Risk
- 21.5.2 Forecast Demand
- 21.5.3 Set Maintenance Strategy
- 21.5.4 Manage Resources
- 21.5.5 Manage the Eco-system
- 21.5.6 Continuous Improvement and Enabling Activities
- 21.5.7 Guidelines on Tailoring the Value Map
- References
- Part VI Autonomous Maintenance
- 22 Building Dependable Electronic Systems for Autonomous Maintenance
- Abstract
- 22.1 Introduction
- 22.2 Basic Concepts and Motivation
- 22.2.1 Sources of Errors
- 22.2.2 Deployment
- 22.2.3 Key Performance Metrics
- 22.3 Deployment of Redundant Resources
- 22.3.1 Spatial Redundancy
- 22.3.2 Temporal Redundancy
- 22.3.3 Information Redundancy
- 22.4 Platforms for Self-repair
- 22.4.1 Key Strategies
- 22.5 Potential Impact and Uptake of Autonomous-Maintenance
- 22.5.1 Test and Verification
- 22.5.2 Potential Impact and Uptake
- 23 Autonomous Maintenance for Through-Life Engineering
- Abstract
- 23.1 Introduction
- 23.2 Maintenance, Repair and Overhaul
- 23.3 Automation Within Industrial Maintenance
- 23.4 Maintenance Task Classification
- 23.4.1 Class 222 Diesel Engine Train Undercarriage Maintenance
- 23.4.2 Task Classification for Maintenance: Outcomes and Discussion
- 23.5 Integrating Automation and Robotics into Maintenance
- 23.6 Design Strategies for Autonomous Maintenance, Self-healing and No Fault Found
- 23.6.1 Autonomous Maintenance
- 23.6.2 Self-healing
- 23.6.3 No Fault Found
- References
- Part VII Future Challenges and Opportunitiesin TES
- 24 New Approaches to Through-Life Asset Management in the Maritime Industry
- Abstract
- 24.1 Full Service Business Model in the Maritime Industry
- 24.1.1 Introduction
- 24.2 Adaption to the Maritime Industry
- 24.3 Business Model Assessment
- 24.4 Condition Monitoring
- 24.4.1 The Concept of Condition Monitoring
- 24.4.2 From Condition Monitoring to Condition-Based Maintenance
- 24.4.3 Technical Implementation
- 24.4.4 Results of the Case Study
- 24.5 Synergies of a Combined Approach
- 24.6 Conclusions
- Acknowledgement
- References
- 25 Future Challenges and Opportunities in Through-Life Engineering Services and Concluding Remarks
- Abstract
- 25.1 Introduction
- 25.2 Sources Consulted for the Identification of Future Challenges and Opportunities Relating to TES
- 25.3 Findings from the Review of Data Sources
- 25.3.1 Findings from the Literature
- 25.3.2 Findings from the Initial `Think Tank' (Chap. 1)
- 25.3.3 Survey of UK Based Manufacturers
- 25.3.4 Findings from Network Event and Forum Held at the I.Mech.E (London---July 2014)
- 25.4 Concluding Remarks
- References
- Appendix A Cyber Security and the Internetof Things (IoT)
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