Machine-learning-enabled thermal imaging solutions are addressing these issues. Bi-spectral cameras, like SYTIS’ TC-90™, provide clear images and remote, real-time visibility into electrical enclosures. These miniaturized cameras fit inside nacelles and, powered by POE, offer a holistic view of components, connections and wiring. They detect micro-failures—like pinhole leaks in hydraulic lines—before they escalate. Shifting from time-based to condition-based maintenance enables earlier interventions, historical trend analysis and more resilient and efficient operations while reducing the need for high-risk manual inspections. For more information – read the case study by Ryan Severe, Senior Engineer for Wind Assets at Puget Sound Energy. |
Smarter Maintenance Strategies for Offshore Wind with Embedded Thermal Cameras
- Category: Company Announcement
March April 2025
The Front CoverPuget Sound Energy transitioned from conventional diagnostic methods to an advanced, fixed, bispectral infrared camera solution, fundamentally transforming its approach to wind turbine maintenance. The article on page 6 explores how the adoption of this technology resulted in improvements in technician safety, operational efficiency, real-time diagnostics, and proactive failure prevention, ultimately reshaping best practices for wind energy infrastructure maintenance. Publisher's NoteGlobal wind energy markets: Chinese dominance and expanded EU industrial policyFeaturesThe Role of Continuous Thermal Imaging in Detecting Faults and Reducing Risks
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