Tag “predictive-maintenance”

Wind turbines present unique challenges as they age, particularly concerning component wear and inventory needs. In such cases, predictive maintenance provides a lifeline in the form of optimized lifecycles, maintenance schedules, and return on investment of infrastructure. Read how, by leveraging data and advanced technology, operators can maintain a higher degree of confidence in the performance of their fleet.

By leveraging IoT devices embedded with sensors, advanced data analytics, machine learning, and other technologies, predictive maintenance is significantly enhancing the wind energy sector. But what exactly prompts the sector’s key stakeholders to adopt predictive maintenance in their operations?

Now that the dust has settled after the global pandemic, the wind energy sector — much like other industries — is navigating through a period of transformation and adaptation. This article explores how the wind industry should or is addressing challenges to continue its growth and maintain its vital role in our energy mix.

The North Sea is home to numerous wind turbines which face unique challenges due to the hostile environment. However, with the advent of advanced diagnostic tools like the SKF Multilog IMx machine monitoring devices, the maintenance and efficiency of these wind turbines have seen significant improvements.

The goal of every operator is to get the best out of their wind turbine. But the methods it takes to reach that singular goal are many. That's where SKF Rotating Equipment Performance comes in – a tailor-made service for your needs.

Exhibitors were unfortunately unable to participate in the digital version of WindEnergy Hamburg this year after all. To ensure that SKF Wind’s exciting showcase is not wasted, this article shares some insights into the technologies and data-driven processes which are shaping the industry. How are new technologies and computer-aided processes influencing the industry?