Image
Condition monitoring wind image


Avoiding unplanned downtime & component failure through predictive condition monitoring

 

Be prepared for ever-changing conditions

The nature of operating wind farms means your turbines are at the mercy of the wind, which can cause high levels of stress on your turbines and result in early failure of key drivetrain components. A system-wide condition monitoring program is the key to turning unplanned downtime into scheduled maintenance while saving you in unscheduled maintenance and repair costs.

Key benefits of a preventative O&M strategy

Proactive monitoring of turbine components identifies component damage or wear before failure occurs, thus avoiding down-tower component replacements while reducing costs associated with replacement parts and the use of cranes.

Run-to-failure versus condition monitoring

Through proactive condition monitoring, you can de-escalate maintenance and repair costs. Versus run-to-failure, you can realize savings up to 95% for gearboxes and 93% for bearings when you deploy a system-wide condition monitoring program from Bently Nevada. 

Real savings

Thanks to early detection, increased availability, reduced crane use, and improved reliability, Bently Nevada wind customers have reported annual savings of $4000 to $6000 per turbine. By leveraging insights from our condition monitoring technology and services, turbine operators can reduce overall maintenance costs by 15% and save as much as 90% per instance through the avoidance of major component exchanges.

 

How comprehensive condition monitoring systems improve viability of wind turbine operations

 

Condition monitoring systems–when done right—are transforming the future of wind power and our world by increasing the viability of wind as a clean, green energy alternative. Our goal is to catalyze knowledge sharing so we can journey together toward a stronger future.

Effective condition monitoring begins with the right sensors and data acquisition hardware and ends with the right analytics, visualization software, and vibration analyst expertise. Integration of these components creates a comprehensive condition monitoring solution.Understanding and optimizing wind operations is good for our collective future. 

Download our wind brochure



Helping Wind Farms Improve Operations

Wind Turbine Farm
Complete Gearbox Monitoring

System 1’s capabilities for analysis and visualization of complex machine gearboxes, including a case study

Wind Turbine
Remote Monitoring Success

Remote Monitoring & Diagnostics Service team’s quick response saves Wind farm from severe losses



Solutions for maintaining your wind farm machinery

Sensors
VbOnline Pro
System 1 Condition Monitoring Software
Services and Support

VbOnline Pro

Our VbOnline* Pro was designed to monitor the condition of machinery with rolling element bearings and complex gear trains. This plant-wide monitoring system is built to monitor vibrations via a system of 12-channel sampling for powerful continuous up-tower signal processing. The VbOnline* Pro can even differentiate the vibration signals as acceleration, velocity, and more.

System 1 Condition Monitoring Software

System 1† Condition Monitoring software has been designed as an all-in-one answer to even your most difficult machine asset management and health monitoring challenges. Built on the strategic platform pillars of ConnectivityAnalytics, and Visualization, System 1 provides the plant-wide critical asset monitoring data and analytics solutions you need to keep your plant running smoothly and avoid unwanted downtime.

Services and Support

With more than 500 service professionals in over 50 countries, we have the global reach and local presence to be there with expert support when and where you need us. There is good reason why our services team is used by many of the biggest names across industries. Let our services team get you up and running, stay optimized, and achieve your business goals. 



Tài nguyên

FILTER BY:
RESET
0 RESULTS
No results were found based on your search filters.