A wind turbine condition monitoring system is critical to extending the life and efficiency of wind turbines. The mechanical stress that these machines experience is extreme and a wind turbine condition monitoring system can improve stability, reduce downtime and maintain optimal component design. A common failure in a windmill is a gearbox failure, which is extremely costly and causes a lot of downtimes. Proper measurement and reporting of conditions can reduce the number of alarms generated, and increase component life.
A
wind turbine condition monitoring system is an essential element in optimizing
the performance of the turbine. The more time users spend on maintaining the
machine, the more money they spend. This makes it vital to identify failures in
advance and avoid costly repairs. In some cases, a gearbox oil temperature may
indicate a pending failure. Another example is a hot oil supply in a gearbox.
The software sensors are more cost-effective than hardware sensors, which are
labor-intensive and expensive.
The
data collected by a wind turbine condition monitoring system helps operators
understand the condition of the entire wind farm. Regular reports provide an
overview of the entire turbine's health. A graphical health alert identifies
which turbines need attention. Detailed charts of critical faults are also
available to operators. This system is backed by RNRG's two-year warranty. This
system is also backed by lifetime technical support. The increasing prevalence
of wind turbines in regions such as the U.S. has also increased the usage of
wind turbine condition monitoring systems. For instance, according to the
United States Geological Survey, there are more than 57,000 wind turbines in
the U.S. Europe held a dominant
position in the global wind
turbine condition monitoring system market and is projected to maintain its
dominance during the forecast period.
A
wind turbine condition monitoring system will enable users to prevent the
potential for catastrophic failures and maximize wind turbine production. It
will detect issues before they occur and prevent catastrophic failures. It will
also provide valuable input for maintenance planning. It will ensure that the
wind farms are always in top condition and performing at peak levels. If there
are problems, they will be able to identify them and correct them before they
become critical.