Predictive maintenance plays an important role in helping wind farm operators maintain the reliability, efficiency and availability of wind turbines. By using condition monitoring data to identify changes in machinery performance, maintenance teams can investigate developing problems before they result in equipment failure or unplanned downtime.
Unlike reactive maintenance, where action is taken after a failure has occurred, predictive maintenance uses information gathered while equipment is operating to help determine when intervention may be required.
This approach is particularly valuable in the wind industry. Wind turbines operate for long periods under continually changing loads and environmental conditions, while their location and height can make inspection, maintenance and component replacement challenging.
How does predictive maintenance work in the wind industry?
A predictive maintenance programme typically combines sensors, monitoring equipment and data analysis to build an ongoing picture of wind turbine condition.
Data collection
Sensors and monitoring devices can be installed at appropriate locations within a wind turbine to continuously collect operating data.
Depending on the equipment being monitored, this can include vibration, temperature, rotor speed and other relevant parameters. Vibration sensors are particularly useful for monitoring rotating machinery and identifying changes in mechanical behaviour.
Data analysis
Information collected by sensors can be analysed to identify changes, trends and abnormal operating characteristics.
Rather than considering an individual measurement in isolation, monitoring equipment can help engineers understand how machinery behaviour changes over time. Unexpected increases or changes in vibration, for example, can provide an indication that further investigation is required.
More advanced condition monitoring systems can also use automated analysis techniques to help identify patterns within larger quantities of operational data.
Wind turbine condition monitoring
Condition monitoring provides maintenance teams with information about the operating condition of important wind turbine components.
Wind turbines contain numerous mechanical components that can be monitored, including bearings, gearboxes, generators and other rotating equipment.
Changes in vibration characteristics may be associated with developing issues such as bearing wear, imbalance, misalignment, mechanical looseness or gearbox problems.
Identifying these changes does not necessarily diagnose the underlying problem automatically, but it can provide engineers with an early warning that equipment requires closer examination.
Proactive maintenance
Once a potential problem has been identified, maintenance teams can investigate and determine the appropriate course of action.
Where maintenance is required, work can potentially be planned for a suitable time rather than waiting for the component to fail.
For wind farm operators, this can be particularly important. Unplanned maintenance may require specialist engineers, equipment and access arrangements, while adverse weather conditions can further complicate repair work.
Planning maintenance in advance can therefore help reduce disruption and make better use of engineering resources.
Benefits of predictive maintenance for wind turbines
Moving from reactive maintenance towards a condition-based or predictive approach can provide several operational benefits.
- Reduced unplanned downtime: Detecting changes in machinery condition at an earlier stage can provide an opportunity to address developing problems before failure occurs.
- More efficient maintenance: Maintenance can be prioritised according to equipment condition rather than relying exclusively on fixed servicing intervals.
- Early fault detection: Continuous vibration monitoring can highlight changes that may indicate wear or deterioration in rotating components.
- Improved maintenance planning: Earlier warning of potential problems gives operators more time to organise engineers, replacement components and turbine access.
- Better use of operational data: Monitoring machinery over time creates valuable information that can help engineering teams understand normal operating behaviour and recognise significant changes.
- Support for asset life: Identifying and addressing developing mechanical problems can help prevent secondary damage to other components and support the effective management of wind turbine assets.
Why vibration monitoring is important for wind turbines
Vibration monitoring is an established technique for assessing the condition of rotating machinery and is particularly relevant to wind turbine applications.
A wind turbine is exposed to continually varying operating conditions. Wind speed, load and rotational speed can all change, while components must operate reliably for extended periods.
Sensors positioned at appropriate monitoring points can measure vibration generated by machinery during operation. This provides data that can be tracked over time and used to identify significant changes in equipment behaviour.
For remote wind farms and offshore installations, the ability to monitor equipment condition without relying entirely on physical inspection can be particularly valuable.
Moving from reactive to predictive maintenance
Predictive maintenance helps wind farm operators move away from simply responding to equipment failures.
Continuous condition monitoring provides engineers with additional information on which to base maintenance decisions. Instead of replacing components solely according to predetermined schedules, monitoring data can contribute to decisions based on the actual condition and behaviour of machinery.
Predictive maintenance should therefore be viewed as part of a wider maintenance strategy, combining reliable sensor data with engineering knowledge, inspection and appropriate maintenance procedures.
Vibration sensors for the wind industry from Monitran
Monitran designs and manufactures vibration sensors and monitoring equipment for demanding industrial applications, including the wind energy sector.
Our 2200 Series vibration sensors are particularly suited to wind turbine applications. The range has been developed to cope with the high shock loading that can occur within wind turbines and offers rapid recovery following high shock events.
By providing reliable vibration measurement in these demanding conditions, the 2200 Series can form part of a wind turbine condition monitoring and predictive maintenance programme, helping engineering teams monitor machinery performance and identify changes that require further investigation.
Monitran can also provide technical guidance when selecting vibration monitoring equipment for a particular application.
Please contact Monitran to discuss your wind turbine vibration monitoring requirements or to find out more about our 2200 Series vibration sensors.