CASE STUDIES
Case study 4.2 Frazer-Nash Consultancy: Exploiting Data to Extend Asset Life Sector
maintenance procedures often replace parts that show no signs of damage.
• Industrial power generation
• Repair and overhaul of a fleet is expensive for: – Operational costs due to downtime
Who Was Involved? • Frazer-Nash is a leading systems and engineering technology company with over 850 employees. They’re renowned for their work in the aerospace, transport, nuclear, marine, defence, industrial, power and energy sectors throughout the UK and Australia. The breadth of expertise and the insight they apply deliver successful outcomes.
– Original equipment manufacturer costs for replacing high-value parts and inventory upkeep. • The opportunity for this problem is with unit-specific maintenance schedules, however the complexity is in finding a balance between waste versus suddenfailure. • The complexity of this problem is the lack of data points around a blade’s local environment to reliably predict the blade’s condition (TM, σ, εc) from the known parameters of inlet temperature (T2), outlet temperature (T5) and shaft rotational speed (ω), displayed on the diagram. Continues...
The Problem • Maintenance schedules of a large fleet of approximately 15,000 turbines is traditionally based around safe operating hours at their maximum design conditions to save sudden failure. However, all systems operate differently and inspection within
Using a digital twin to quickly and reliably predict unit-specific blade damage from engine monitoring data.
Measured T2 , T5 , ω
Reduced order model
Untangling the requirements of a Digital Twin
Blade T, σ, εc
Reduced order model
Blade damage (life)
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