Visionary power. Wherever you want.
Пожалуйста, выберите язык

The Next Generation of Condition Monitoring.

Our solution continuously collects raw sensor data from critical components such as turbines, bearings, and generators. These vast amounts of data are processed through a specially designed Big Data infrastructure and analyzed with state-of-the-art Machine Learning algorithms. Our certified CAT II vibration experts do not just identify isolated anomalies but evaluate long-term trends to provide a comprehensive view of the component’s condition. A combination of deep hydropower expertise with cutting-edge data science to deliver powerful insights.

 

What makes HydroxOptimize different?
  • Continuous monitoring: Constant collection and evaluation of raw sensor data rather than periodic snapshots.

  • Advanced trend analysis: Identification of gradual degradation long before failures occur.

  • Real-time insights: Immediate actionable information enabling smarter maintenance planning.
     

What does this mean for operators?
  • Avoid unplanned downtime: Early detection of wear and performance degradation enables preventive action, helping to avoid unexpected failures and costly shutdowns.

  • Reduce repair costs: Identifying issues early provides sufficient lead time to plan maintenance activities and order spare parts at optimal costs, avoiding expensive last-minute procurement and logistical stress.

  • Minimize production outages: Predictive maintenance allows operators to schedule interventions during periods of lower energy production, ensuring plant efficiency is maintained without unnecessary revenue loss.

  • Extend equipment lifespan: Proactive maintenance and timely repairs protect critical components, reduce secondary damage, and significantly increase the operational lifespan of turbines and generators.

 

01
Advanced trend detection.

Based on the latest algorithms to detect even small increases in temperatures (for bearings or generator windings), pressures or advanced vibrations features.

02
Bearing temperature monitoring.

This chart visualizes the bearing temperatures of a turbine. If the algorithm detects anomalies, the corresponding time series is displayed in detail for further analysis.

01
Detailed spectrum of one observation.

Characteristics of the turbine such as generator speed, turbine speed, number of blades, nozzles, buckets, and many others create specific frequency peaks. These peaks can help identify and evaluate potential faults or wear problems.

02
Vibration spectrum comparison.

These velocity spectra illustrate vibration levels across different frequencies. The first plot shows dominant activity at lower frequencies, which often indicates mechanical issues such as imbalance or misalignment. In contrast, the second spectrum reveals significant peaks in the higher frequency range, which are more likely to result from generator problems or cavitation.

Smarter decisions through deeper insights.

Through intelligent analysis of operational parameters such as performance curves, temperature changes, and turbine openings, we create a comprehensive long-term picture of the plant’s condition. Even subtle deviations that signal emerging problems are detected far earlier than traditional methods would allow.

Our evaluations align with international standards such as ISO-13373, enabling precise classification and prioritization of potential issues. We also provide specific frequency analyses based on turbine characteristics — including generator speed, number of blades, and nozzle configurations — allowing operators to accurately localize and assess faults.

01
Classification of common vibration features.

According to international standards. For example, this figure shows the evaluation of the severity index of roller bearings according to iso-13373.

Preventing
failures by
detecting
issues early.

Operators must proactively maintain plant reliability and avoid unplanned downtimes. Traditional methods often detect problems only after damage has occurred, leaving little room for preventive action and resulting in costly interruptions.

Proactive Condition Monitoring with HydroxOptimize.

With HydroxOptimize, Global Hydro offers a continuous, data-driven condition monitoring solution. By analyzing raw sensor data and identifying long-term trends and early warning signs, we enable timely interventions — long before critical failures occur.

Maximizing
efficiency,
reducing costs, and extending component lifespan.

Early detection minimizes downtime and reduces repair costs. Predictive maintenance extends the life of critical components and ensures maximum operational efficiency — unlocking the full potential of every hydropower plant.

Maximize
your plant’s reliability!

Are you ready to move beyond outdated monitoring methods and embrace predictive maintenance powered by Big Data and Machine Learning? HydroxOptimize offers a comprehensive solution that ensures your assets operate at peak efficiency with minimal risk of failure. Discover how HydroxOptimize can transform your plant’s reliability and efficiency.

Contact us today to learn more about our advanced Condition Monitoring service and start optimizing your operations.

Контактное лицо

Thomas Stütz

Head of Digital Solutions

+43 7285 514 0065

Контакт