Cannon Power Group are an independent leader and pioneer in the renewable energy industry. Part of executing their successful strategy to self-perform O&M at the Windy Flats II wind farm was to implement Fleet MonitorTM for predictive maintenance.
A study was performed to quantify the financial benefit after 2 years of this implementation. Fleet Monitor has allowed the consistent early detection of drivetrain faults and thereby a large impact on reducing the cost of failures. The study showed $1.2m in savings, thus the strategy has been a success. Each early fault detection provides savings in three principle ways:
- Reduce the cost of repair by combining repairs on turbines into the same crane and labour schedule or by extending life
- Reduce the likelihood of catastrophic failure such as cracked gearbox casings
- Reduce the downtime from sudden failures that require shutdown
The study confirms that predictive maintenance reduces the cost of wind turbine gearbox bearing failures.
The Cloud-Based Software allows the Site Team and Monitoring Team to Find Solutions and Maximize the Benefits of Predictive Maintenance for Wind Turbines