EOLOGIX-PING’s cover photo
EOLOGIX-PING

EOLOGIX-PING

Renewable Energy Semiconductor Manufacturing

Graz, Styria 5,959 followers

Continuous blade monitoring.

About us

EOLOGIX-PING is the specialist for continuous blade monitoring with innovative ON-BLADE, ON-TOWER and IN-BLADE sensor systems for 𝗶𝗰𝗲 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻, 𝘁𝗲𝗺𝗽𝗲𝗿𝗮𝘁𝘂𝗿𝗲 𝗺𝗲𝗮𝘀𝘂𝗿𝗲𝗺𝗲𝗻𝘁, 𝗯𝗹𝗮𝗱𝗲 𝗱𝗮𝗺𝗮𝗴𝗲 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗹𝗶𝗴𝗵𝘁𝗻𝗶𝗻𝗴 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠. Our goal is to support the generation of wind energy by developing innovative sensor solutions and enabling permanent and accurate monitoring of rotor blade condition and operation to achieve the best performance for our customers. Our motivated team is committed to ensuring the best possible performance and capability of wind turbines worldwide. 🚀 The patented and DNV certified ON-BLADE solution is mounted directly on the blade surface. With its innovative technology, the sensor system is able to reliably detect icing, measure surface temperature for preventive heating. Furthermore, it detects even the smallest rotor blade misalignment under all turbine operating conditions. The ON-TOWER system continuously measures and analyzes changes in the sound generated by blade damage. It is attached magnetically to the base of the tower of the wind turbine at a height of approximately four meters. Through an add-on, it can detect not only blade damage but also lightning strikes through magnetic field measurements and provide data for setting appropriate measures. The acoustic IN-BLADE system is installed at the blade access panel or within the blade depending on the preference. There it uses sound emission to detect root zone structural damage. All sensor solutions are suitable for new installations as well as for simple retrofitting on existing wind turbines.

Website
https://eologix-ping.com/
Industry
Renewable Energy Semiconductor Manufacturing
Company size
11-50 employees
Headquarters
Graz, Styria
Type
Public Company
Founded
2014
Specialties
Erneuerbare Energie, Sensortechnologie, Windkraft-Sensoren, Eisdetektion, Windenergie, Eiserkennung, Blade ice measurement, Rotor blade sensing, Wind power, Wind turbine, Capacitive Sensing, Ice detection, Sensor technology, Condition Monitoring, Blade Icing, Blade Heating, Lightning, Lightning detection, Blade monitoring, Blade damage detection, and Onshore wind

Locations

  • Primary

    Waagner-Biro Strasse 124

    Graz, Styria 8020, AT

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  • Lot Fourteen, North Terrace

    Suite 28, Stone & Chalk Startup Hub Marnirni-apinthi Building

    Adelaide, South Australia 5000, AU

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Employees at EOLOGIX-PING

Updates

  • View organization page for EOLOGIX-PING

    5,959 followers

    Wind turbine operators worldwide share one challenge. And one word sums it up. We co-organized WOMA in Melbourne this February. 200+ operators in the room. One question: describe your asset management in one word. The answer? 👉 Reactive. Sound familiar? Whether you operate in Australia, Europe, the US or Japan - lean teams, complex machines, aging fleets, and OEM agreements that don't always give you the data you need to make smart decisions. Australian operators are tackling this head-on: shadow monitoring, condition monitoring, independent blade inspections. Their own data. Their own decisions. That's exactly what we build for. 👀🎧🤚 When you can see, hear and feel your #blades 24/7 — independent of any OEM or SCADA system - you stop reacting. You start planning. Full article PES Windhttps://lnkd.in/dZmEqwNV

  • Our team will be at WindEurope in Madrid next week - always great to put faces to names! If you're going to be there too, get in touch and let's set something up. Eike Lueken | Matthew Stead | Thomas Schlegl #WindEurope #wind

  • 🌪️ Every blade, every event, every day A single wind turbine blade isn’t just a component - it’s a decades-long story of inspections, sensors, maintenance, and alerts. Multiply that by hundreds of turbines, and you’re looking at an ocean of events and data. Consistent, detailed tracking over time is essential for an effective blade maintenance program - turning overwhelming data into actionable insights and reliable performance. We help operators track icing, lightning, and blade health turning raw data into actionable insights for smarter maintenance.

    • Blade lifecycle from commissioning to decommissioning
  • "After a storm, we were immediately informed [...] that something was wrong with our turbine [...]" - Michael Bryan, Asset Manager, Tucson Electric Power That's exactly what blade monitoring should do: give you the right information, at the right time, so you can act fast. At EOLOGIX-PING, we work with operators and asset managers worldwide - from mid-sized wind farms to industry leaders like Vattenfall, Ørsted, and EDF Renewables - to make blade monitoring effortless. Want to know what your peers are already doing differently? 👉 Read the case study: https://lnkd.in/dBqgNx8x

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  • A lightning bolt hits a wind turbine at 3am. No alarm goes off. No one knows. The blade keeps spinning. The damage keeps growing. Weeks later: an unplanned inspection. A repair bill nobody budgeted for. Weeks of downtime that didn't have to happen. Lightning strikes are just one risk quietly draining revenue from wind farms every single year. Icing shutdowns. Undetected blade damage. Lightning with no data trail. Most operators know these hurt. Few have ever calculated exactly how much. Now you can. 👉 https://lnkd.in/dsMPCDff Our new #ROI Calculator puts real numbers on all three risks - for your fleet, your location, your operation. Have you ever quantified what this is really costing you? #wind

  • Are you inspecting your wind turbine blades at the right time? 🤔 Most teams rely on routine checks - but the highest-performing operations combine multiple strategies: ✅ Routine inspections – Scheduled, risk-based intervals ✅ Milestone checks – Key lifecycle moments (install, warranty, end-of-life) ✅ Event-driven inspections – Triggered by storms, anomalies, OEM notifications or CMS alarms ✅ Continuous monitoring – Real-time data catching issues early 🚨 The reality: Waiting for visible damage is already too late. The shift toward data-driven, proactive inspection models is helping operators: - Reduce unplanned downtime - Extend blade lifespan - Optimize maintenance budgets 📊 Smart inspection timing = better performance + lower cost

  • Wishing everyone in the wind energy community a great Easter weekend. 🌷 For those who get a break - enjoy the chance to recharge. And for those keeping turbines turning - thank you for powering communities around the clock.

    • White text happy easter weekend on blue background with photo in the back
  • We’re excited to be back at WindEnergy 2026! We will be exhibiting again at one of the leading global events for the wind industry. WindEnergy is a great place to reconnect with partners, meet new contacts, and discuss what’s next for the sector. Stop by to meet the team and learn more about how we support operators in blade monitoring. 📍 Hall A1, Booth 115 📅 Hamburg, Germany See you there! WindEnergy Hamburg 📸 © Norbert Hentges (Unsplash)

    • Hamburg city
  • 𝟭𝟬𝟮 𝗠𝗪𝗵. That can cost ~2k€ in summer. Or ~7k€ in winter. And much of it may not even be necessary. During one icing event, heating remained active after the ice was already gone. Result? 𝟴𝟰 𝗠𝗪𝗵 𝗼𝗳 𝗮𝘃𝗼𝗶𝗱𝗮𝗯𝗹𝗲 𝗲𝗻𝗲𝗿𝗴𝘆 𝗰𝗼𝗻𝘀𝘂𝗺𝗽𝘁𝗶𝗼𝗻. The biggest waste in blade heating isn’t insufficient capacity. It’s running too long. Open-loop control heats “just to be safe.” Closed-loop control heats “only when needed.” Direct blade measurement transforms anti-icing from reactive to precise. And when electricity prices spike, precision isn’t a technical upgrade - it’s a financial strategy. 💬 Is your blade heating system measuring assumptions - or the blade itself?

    • Heating example
  • Winter is officially over ❄️➡️🌱 To all wind turbine operators and O&M teams: thank you for keeping fleets running through the toughest months. We hope you had a productive season, with minimal turbine stops - and that your turbines survived. 😉 Here’s to a smooth and successful spring ahead. ⚡️ Thinking about improving your ice detection strategy for next winter? Let’s talk.

    • Black and white thank you card with smiley on top of the card

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