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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.
0%
In 2021, 24% of the national electricity demand was covered by wind power.
0M
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.

  • Thermographic Inspection Courses

    Train in the use of infrared thermography for early detection of failures in industrial equipment and systems. Learn how to interpret thermal images to optimize predictive maintenance and improve operational efficiency. Some courses are certified by ITC - Infrared Training Center, guaranteeing international recognition.

  • Maquinaria rotativa

    Ultrasound courses

    Train in the use of this technology for early detection of leaks, mechanical failures and electrical problems in industrial equipment. Learn how to interpret ultrasonic signals to optimize predictive maintenance, improve energy efficiency and increase the operational reliability of your machinery.

  • Maintenance management courses

    These courses provide the tools and strategies to optimize the planning, execution and control of industrial maintenance. Learn how to improve equipment availability, reduce costs and apply methodologies such as predictive and condition-based maintenance for efficient and operational reliability oriented management.

  • Lubrication courses

    Provides essential knowledge for effective lubrication management in industrial machinery. Learn how to select, apply and monitor lubricants to reduce wear, improve efficiency and extend equipment life. Our courses will help you optimize maintenance and improve operational reliability.

  • Predictive maintenance

    Predictive maintenance is an advanced strategy for detecting incipient failures in industrial equipment before they become serious failures. It is used to optimize production, reduce downtime and minimize maintenance costs, and is key in sectors such as energy, automotive, petrochemical and manufacturing.
    At Preditec, we offer basic and advanced predictive maintenance services designed to maximize the efficiency and reliability of industrial assets. Through vibration analysis, thermography, ultrasound and lubricant monitoring, we help our customers achieve greater competitiveness and reduced operating costs.

  • Maintenance reliability

    At Preditec, we help industrial organizations transform their maintenance approach by implementing reliability-centered strategies. Our goal is to maximize asset availability, reduce operating costs and improve safety by applying methodologies such as Reliability Centered Maintenance (RCM), Root Cause Analysis (RCA), Criticality Management and Failure Mode Analysis (FMEA).

  • Advanced analysis

    Machinery diagnostics is a key tool in predictive maintenance, as it allows to detect and prevent failures in critical equipment before they affect the industrial productivity and operability. It is used to analyze the condition of assets, optimizing their performance and extending their useful life. At Preditec, we offer advanced machinery diagnostics services, applying technologies such as vibration analysis, thermography, ultrasound and real-time monitoring, which are essential to ensure equipment reliability, avoid catastrophic failures and improve industrial maintenance management.

  • Maintenance of monitoring systems

    The maintenance of monitoring systems is an essential process to ensure the correct operation of continuous monitoring systems in industry. These systems allow early detection of failures by measuring and analyzing parameters such as vibrations, temperature or pressure. Keeping them in optimal conditions is key to ensure the availability of machinery and minimize operating costs.

    Preditec has a team of technical personnel specialized in the design, installation and commissioning of continuous monitoring systems.

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.