Digital Risk TwinThe Digital Risk Twin – Enabling Model-based RAMS
A RAMS-focused Digital Twin designed to identify, understand and mitigate technical risk through model-based engineering methods.
Technical Papers
RAMS, PHM and model-based engineering insights.
Explore PHM Technology research, conference papers and technical publications covering Digital Risk Twins, FMEA, PHM, diagnostics, sensor optimisation, model-based RAMS and mission-critical engineering systems.
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Digital Risk Twin
MADEMADE: Development of an Aerospace PHM Software Tool
How MADE supports the design, assessment and optimisation of PHM systems across high-risk industries including aerospace.
FMEAThe Language of FMEA: Effective Use and Reuse of FMEA Data
Practical approaches to improving the consistency, usefulness and reuse of FMEA data for safety, maintenance and PHM activities.
SensorsAutomated Design and Optimisation of Sensor Sets for CBM
A model-based approach to designing and assessing sensor sets that support condition-based maintenance and PHM performance.
AIApplications of AI and Decision-Making Methods in PHM
Explores AI and decision-making methods including genetic algorithms, neural networks, fuzzy logic, AHP and Boolean logic for PHM design.
PHMOptimization of PHM Systems for Electronic Assemblies
Examines sensing techniques and in-situ health monitoring methods for improving PHM implementation in electronic systems.
UASThe Use of PHM for Autonomous Unmanned Air Systems
How PHM concepts support autonomous air systems operating in complex, dull, dirty or dangerous mission environments.
Fault DiagnosisSensor Set Optimization by Functional Model and Bayesian Network
A fault diagnosis approach for turbine generator lubrication systems using functional models and Bayesian networks.
SafetyModel-Based Approach to Zonal Analysis
A model-based method for improving the repeatability, thoroughness and efficiency of Zonal Safety Analysis.
APHMAutonomous Prognostics and Health Management – APHM
How PHM concepts can be included in autonomous UAV design and real-time operational diagnostic/prognostic capability.
FMECAInfluence of Environmental Loading Factors on System Design
A model-based method for optimising system design by linking failure identification to operating scenarios and environmental loading.
DiagnosticsReal-Time Diagnosis of Physical Failures Using Causation-Based AI
An AI-supported approach to detecting physical failures from sensor readings and early indicators in complex systems.
MLML Detection and Isolation of Functional Failures Using Syndrome Diagnostics
Failure detection and isolation methods for functional disruptions across complex engineering systems using Syndrome Diagnostics.
IVHMUse of COTS Functional Analysis Software as an IVHM Design Tool
A functional modelling approach for developing health management solutions for new and legacy platforms during conceptual design.
MaritimeTowards Design of PHM Solutions for Maritime Assets
Explores PHM design for maritime assets, operational efficiency, reliability improvement and availability-driven support models.
PdMApplications of Active Learning in Predictive Maintenance
Investigates active learning methods for improving predictive maintenance models where labelled data is limited.
ReliabilityExploring the Nexus between Sensor Reliability and System Performance
A comprehensive analysis of how sensor reliability influences wider system performance, reliability and availability.
DESOptimizing RAMS with DES Using Operational Data
A Digital Risk Twin and Discrete Event Simulation approach to optimising maintenance strategies and RAMS outcomes.
NASAReliability Analysis of Complex NASA Systems with Model-Based Engineering
Highlights the use of Model-Based Engineering for Reliability Engineering within NASA Safety and Mission Assurance contexts.
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