COST OF BLADE DAMAGE Reducing operating costs Ongoing monitoring of the condition and structural health of the blades allows for early detection of faults. Detecting a change in the blades condition or performance enable Operators to make pro-active choices to protect the turbine and minimise further damage. Thus signi昀椀cantly reducing both turbine downtime and the overall repair costs. Early detection ensures faults are addressed before they become severe, reducing the risk of unexpected failures and costly new blades. Monitoring also plays a critical role in optimising scheduled maintenance. Using Insensys data Operators have a enhanced view of the condition of blades allowing for predictive maintenance strategies to be utilised. Overall using a sensing system to detect turbine structural problems early you can reduce maintenance costs by $0.75/kWh, offering potential savings of over $500,000 per turbine.