Poseidon Systems has deployed its DM4500 debris condition monitoring solution across 10 sites within the Duke Energy Sustainable Solutions wind turbine fleet. These sites comprise of Siemens Gamesa, Suzlon, Nordex, and GE wind turbines — 402 turbines in total.
“We appreciate Duke Energy Sustainable Solutions’ forward thinking and innovation integrating wear debris CMS into their already existing vibration-based CMS monitoring program,” said Mark Redding, CEO and Founder of Poseidon Systems. “Duke Energy Sustainable Solutions is a first-class operator of wind and solar assets in the US. The team is phenomenal to work with and their team did a great job installing and integrating the systems.”
Poseidon’s wear-debris monitoring is being deployed alongside Duke’s already existing vibration-based CMS to provide earlier detection gearbox faults, better fault severity and end-of-life indicators, and catastrophic event detection to reduce the risk of more expensive gearbox replacements.
“The addition of the Poseidon Wear Debris Monitor Device to our toolbox will greatly improve our ability to understand the current condition or status of our gearboxes. This device coupled with vibration and lubrication analyses will allow the team to provide more specific recommendations to extend gearbox life. Being able to predict future gearbox events and plan repairs or replacements prior to catastrophic failure will result in cost savings to the business unit,” said Jeffrey Wehner, Duke Energy Sustainable Solutions’ Vice President of Operations.
With this order, Poseidon Systems projects to have 10,000 wind turbine condition monitoring kits installed by end of 2021; covering GE, Vestas, Siemens Gamesa, Nordex, Suzlon, MHI and more. More importantly, this fleet covers a majority of wind turbine gearbox manufacture make and models.
Using data from the Poseidon Systems’ installed base, Poseidon will continue to work with Duke Energy Sustainable Solutions and other wind customers to develop more advanced detection alarms and life extension algorithms. This development has extended to recent integration of journal bearings on wind turbine gearboxes, utilizing the DM4500’s detection range of non-Ferrous materials for earlier and more confident detection of emerging faults.
News item from Poseidon
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