MADE for CBM
Design, improve and justify Condition-Based Maintenance.
MADE PHM enables engineers to design diagnostic solutions for Fault Detection and Isolation, assess probability of detection for specific failure modes, optimise diagnostic capability and validate the business case for CBM across the product lifecycle.
Move from scheduled maintenance to evidence-based intervention.
Traditional preventive maintenance can lead to unnecessary servicing, premature removal of healthy equipment, inadequate servicing or unscheduled failures. The optimal maintenance strategy conducts only the actions required to ensure safe operational availability when they are needed.
One model-based CBM workflow
MADE PHM connects failure identification, failure propagation, diagnostic requirements, sensor trade studies and diagnostic rule generation.
01
Identify potential failures
Identify critical failures based on functional dependencies within the asset.
02
Understand effects
Use model-based failure propagation to understand system-level effects and consequences.
03
Assess CBM feasibility
Compare alternate diagnostic approaches to understand availability, reliability, cost and supportability implications.
04
Define monitoring capability
Define what monitoring capability is required, where sensors should be located, and how they support failure detection.
05
Generate diagnostic rules
Automated generation of diagnostic rules supports development of model-based reasoners.
Optimise the monitoring approach before investing in sensors and systems.
MADE PHM supports what-if analysis and trade studies of different sensor combinations, helping teams select diagnostic strategies based on measurable performance rather than assumptions.
SENSOR TRADE STUDIES
Coverage, weight, reliability and cost
Automated sensor selection and test point assessment compare alternate sensor sets to identify the most cost-effective diagnostic and monitoring approach for a specific asset and operating profile.
EXISTING INFRASTRUCTURE
Build on available diagnostics
Assess how BIT, control sensors and existing monitoring systems can support CBM without unnecessary additional hardware.
Validate whether CBM buys its way onto the system.
MADE helps justify CBM capability by linking diagnostic performance to reliability, availability, cost and risk outcomes.
AVAILABILITY
Optimise availability and reliability
Model how improved detection, isolation and maintenance timing affect operational availability across the expected asset life.
RISK
Mitigate unscheduled outage risk
Identify critical failure paths and diagnostic gaps before they create safety, operational or economic consequences.
LIFECYCLE
Support lifecycle decisions
Use model-based analysis to design, improve and justify CBM at concept, design, upgrade and sustainment stages, for both new systems and legacy assets.
INTEGRATION
Engineering process integration
Configure the analysis to integrate with organisational engineering processes and existing diagnostic infrastructure.
Explore MADE PHM
See how MADE supports diagnostic capability design, sensor selection, diagnostic rule generation, trade studies and lifecycle justification.
Explore MADE PHM Get the CBM brochureLet’s discuss your engineering goals.
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