Wind turbines on a hillside at dusk

Advanced Condition Monitoring for Wind & Hydro Assets

Anemos Analytics delivers predictive maintenance solutions and real-time asset monitoring for wind turbines and hydropower plants, reducing unplanned downtime, extending equipment life, and maximising energy output for renewable energy operators across the UK.

Offshore wind farm at sea

Optimizing Wind Farms with Intelligence

Smart condition monitoring designed to meet the unique challenges of wind farms. Delivering actionable insights for performance, safety, and sustainability.

20 +
Years of industry expertise
24/7
Remote monitoring capability
100 +
Variables monitored
5  yr
Parts & labour warranty
Wind turbines monitored by Anemos Analytics
About Us

Engineering Expertise Meets Data-Driven Insight

Anemos Analytics is an independent condition monitoring and predictive maintenance specialist with over 20 years of experience in renewable energy asset management. We combine deep wind turbine engineering knowledge with advanced data analytics to detect developing faults before they become costly failures.

As an OEM-independent provider, we work across all major turbine manufacturers giving operators an objective, unbiased view of their asset health. Our condition monitoring systems are compatible with existing SCADA infrastructure, requiring no costly turbine modifications.

Why Work with Anemos?

All-in-one managed solution

We supply, install, configure and monitor — handling everything so your team doesn't need in-house CMS expertise.

20+ years wind experience

Deep knowledge of wind turbine failure modes, developed across two decades of diagnostic experience in the UK & Ireland.

OEM-independent

Not tied to any manufacturer — objective, unbiased asset health across mixed or single-brand fleets.

Hardware built to last

Components designed for 20+ year service life, matching the turbines they protect.

5-year full warranty

Complete parts & labour coverage plus annual NDT inspection included as standard.

Part of European Green Transition plc

Backed by a group committed to long-term renewable energy infrastructure across Europe.

Our Services

Condition Monitoring Solutions

Independent, data-driven asset management services for wind and hydro operators — designed to reduce operational costs and maximise uptime.

Wind turbine condition monitoring

Wind Turbine Condition Monitoring

Real-time monitoring of critical rotating components across your wind fleet. Our systems detect developing faults in gearboxes, bearings, generators, and drivetrains weeks or months before failure, allowing planned intervention rather than emergency response.

  • Gearbox & bearing vibration analysis
  • Generator health monitoring
  • Oil contamination & particle analysis
  • SCADA performance data integration
  • 24/7 remote monitoring & alerts
Hydropower plant monitoring

Hydropower Plant Monitoring

Advanced condition monitoring for hydropower turbines, generators, and mechanical systems. Prevent unexpected failures, optimise maintenance scheduling, and maximise energy output for run-of-river and reservoir hydro assets.

  • Turbine runner & shaft monitoring
  • Generator bearing diagnostics
  • Cavitation detection
  • Performance trend analysis
  • Maintenance planning support
  • Remote fault diagnostics
Non-destructive testing on wind turbines

Non-Destructive Testing (NDT)

Structural integrity inspections for wind turbines and renewable energy assets performed without damaging components. Early detection of internal cracking and subsurface defects helps identify potential failures before catastrophic structural damage occurs, supporting safer operation, maintenance planning, and long-term asset lifecycle management.

  • Tower & foundation assessments
  • Subsurface defect and crack identification
  • Ultrasonic inspection & flaw detection
  • Structural health monitoring
How It Works

From Sensor Data to Actionable Insight

Our four-stage process turns raw turbine data into maintenance decisions that reduce cost and prevent failures.

01
Installation

Sensors fitted to gearbox, bearings & hub. Integrates with existing SCADA. Minimal downtime.

02
Continuous Monitoring

High-frequency data streams 24/7 to cloud, processed by specialist algorithms.

03
Fault Detection

Developing faults identified and classified weeks before failure, with severity rating.

04
Expert Recommendation

Our engineers deliver clear, prioritised maintenance actions — you know exactly what to do and when.

FAQs

Frequently Asked Questions

Condition monitoring for wind turbines involves continuously tracking the health of critical components, including gearboxes, bearings, and generators, using vibration sensors, oil analysis, and SCADA data. This enables early detection of developing faults before they cause unplanned failures, significantly reducing downtime and repair costs compared to reactive or time-based maintenance strategies.

Scheduled maintenance is performed at fixed intervals regardless of equipment condition which means either maintaining too often (wasting resource) or not often enough (missing emerging faults). Predictive maintenance uses real-time sensor data and analytics to intervene when a fault is developing, allowing maintenance to be planned at low-wind periods and reducing unnecessary costs while preventing unplanned failures.

Anemos Analytics is OEM-independent, meaning our condition monitoring systems are compatible with turbines from all major manufacturers including Vestas, Siemens Gamesa, Enercon, Nordex, Endurance, and WTN. Our multi-brand expertise means operators with mixed fleets receive consistent monitoring quality regardless of turbine type.

Non-Destructive Testing (NDT) involves inspecting the structural integrity of wind turbine components, towers, and foundations, without causing any damage to the structure. NDT is often a contractual and regulatory requirement before major repair or replacement works can proceed on a wind turbine, as it provides an independent assessment of structural condition that insurers and project financiers require.

Installation of our condition monitoring hardware typically requires a brief planned maintenance window and does not require extended turbine downtime. For operators using our analytics-only approach, which analyses existing high-frequency SCADA and controller data, no additional hardware or downtime is needed at all.

Ready to Reduce Unplanned Downtime?

Talk to our engineering team about condition monitoring for your wind or hydro assets.

Contact Anemos Analytics