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Taking a data driven approach to turbine maintenance


Sensing360’s innovative optical sensing technology enhances condition based maintenance and reliability based maintenance by integrating real time load data for precise failure prediction in wind turbines. The company’s Cofounder and Chief Operating Officer, Eric van Genuchten, explains to PES how this approach optimizes maintenance, reduces costs, and boosts wind farm efficiency for operators.

PES: It’s great to welcome you back, Eric. Last time we featured Sensing360, back in our first edition of 2024, we focused on how gearbox integrated optical sensing is redefining the way gearboxes and drivelines are monitored and measured, for increased reliability. It would be useful to our readers, I think, to focus this time on your condition based maintenance (CBM) and reliability based maintenance (RBM), if we may?

Eric van Genuchten: Thank you for having us back at PES. It’s great to be able to share the progress we’ve made since our last conversation.

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