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The role of predictive maintenance in the wind industry

The wind industry has established itself as one of the main sources of renewable energy worldwide, and Spain is no exception. With an installed capacity of 30,810 MW in 2023, wind energy represents a significant part of the Spanish energy mix. However, the sector faces challenges that require innovative solutions to ensure its efficiency and sustainability.

  • Wind turbine maintenance: Wind turbines, when exposed to adverse environmental conditions, are susceptible to mechanical and electrical failures. Late detection of these problems can result in costly repairs and significant production losses.
  • Accessibility and remote location: Many wind farms are located in areas that are difficult to access, which complicates maintenance work and increases response times to failures.
  • Variability in power generation: Wind power production depends on climatic factors, which introduces uncertainty in generation and requires efficient management to ensure a stable supply.
  • Market competitiveness: Increasing competition in the energy sector is forcing companies to optimize their operations and reduce costs in order to maintain their position in the market.

The implementation of predictive maintenance strategies in the wind industry offers multiple advantages:

  • Reduced downtime: By anticipating potential failures, it is possible to schedule interventions before breakdowns occur, minimizing interruptions in power generation.
  • Resource optimization: Allows more efficient planning of maintenance tasks, reducing operating costs and improving the allocation of human and material resources.
  • Extending the useful life of the equipment: By maintaining the wind turbines in optimal conditions, their useful life is extended, maximizing the return on investment.
  • Improved safety: Early detection of anomalies reduces the risk of catastrophic failure, protecting both personnel and the environment.

The adoption of advanced technologies, such as sensors, drones and artificial intelligence, is critical to the success of predictive maintenance. These tools enable real-time monitoring of wind turbines, making it easier to identify patterns and predict failures before they become serious problems.

RELEVANT FIGURES

Learn some facts about the wind industry

0MW
In 2023, Spain reached an installed wind power capacity of 30,810 MW, consolidating its position as one of the country’s main renewable energy sources.
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In 2021, 24% of the national electricity demand was covered by wind power.
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The wind energy sector contributed more than 5.8 billion euros to the Spanish economy, representing 0.50% of GDP.

WHAT WE OFFER

Everything the wind energy industry needs

  • Ultrasound

    Industrial ultrasound can detect incipient problems such as leaks, excessive friction and bearing failures with high precision, making it an essential technology in industrial predictive maintenance.

  • Portable equipment

    Portable vibration analysis equipment allows fast and accurate diagnostics in the field, identifying unbalances, misalignments and incipient faults in rotating machinery.

  • Laser aligners

    Laser aligners guarantee precision in the alignment of rotating machines, reducing vibrations, wear and faults, and are essential for industrial predictive maintenance.

  • Monitoring of reciprocating compressors

    The monitoring of reciprocating compressors allows the detection of incipient failures in valves, pistons and lubrication systems, being an essential strategy in industrial predictive maintenance.

  • Oil analysis

    Oil analysis allows to evaluate the internal condition of equipment by detecting metallic particles, contaminants and lubricant degradation, being essential in industrial predictive maintenance.

  • Precision maintenance

    Precision maintenance products enable detailed analysis of vibrations, alignments, and operating conditions, detecting incipient failures with a level of accuracy that other technologies cannot match.

  • Machinery diagnostics courses

    Provides the key methodologies and tools to detect, analyze and prevent failures in industrial equipment. Learn how to interpret vibration data, ultrasound and other parameters to optimize maintenance, reduce downtime and improve the operational reliability of your machinery.

  • Certification courses – Mobius Institute

    Mobius Institute's official training in vibration analysis, ultrasound and reliability-based asset management, with internationally recognized certification. Delivered by expert instructors, these courses will enable you to develop key skills for fault detection and diagnosis, improving reliability and predictive maintenance in your industry.

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POSSIBLE APPLICATIONS

Some applications of our products and services in this industry

Partial discharges, airgap and rotor flow
Lubricant analysis in automated assembly lines
Analysis of lubricants in hydraulic systems
Condition monitoring of electric motors
Electrical substation inspection with IR thermography
Oil analysis in heavy machinery

CUSTOMERS

Who has already trusted Preditec?

COMPLETED PROJECTS

Some of our completed projects
for the wind industry

Continuous condition monitoring of wind turbines

Energy

Spain

More about Wind

Benefits of predictive maintenance in the wind industry

Decreased downtime and increased availability

Anticipating potential failures makes it possible to schedule interventions at strategic times, avoiding unplanned outages and maximizing power generation.

Optimization of planning and use of technical resources

Predictive maintenance improves task planning, spare parts management and technical team allocation, resulting in a more cost-effective and controlled operation.

Extending the service life of wind turbines

By detecting anomalies at an early stage, wear of critical components is minimized, thermal and mechanical loads are reduced, and the service life of wind turbines is extended.

Improved safety and reduction of critical failures

Early detection of deviations or anomalous patterns helps to avoid risky situations for technical personnel and the environment, especially in offshore turbines or in isolated locations.

Technologies applied to predictive maintenance in wind farms

Preditec applies a multi-technology approach to wind turbine monitoring, combining advanced data acquisition and analysis solutions.

Real-time monitoring through intelligent sensors

Sensors installed in gearboxes, bearings, generators and control systems capture continuous data on vibration, temperature, current and other key parameters.

Drone inspection for difficult to access areas

The use of drones allows visual and thermal inspections of shovels, nacelles and towers, reducing time, costs and risks compared to traditional methods.

Artificial intelligence for data analysis and failure prediction

Using machine learning algorithms, Preditec identifies behavioral patterns, correlates historical data and generates predictive alerts with a high degree of reliability.

Digital platforms for remote predictive diagnostics

Preditec’s solutions allow remote management of multiple wind turbines from a single platform, integrating visualization, analysis and reporting to facilitate decision making.