Condition monitoring for wind turbine rotor bearing supports

How can typical rolling bearing damage in wind turbines, particularly in wind turbine rotor bearing supports, be identified early and even prevented altogether? Schaeffler has a solution to this complex challenge: a combination of sensors that are capable of monitoring the critical influencing variables for this type of damage.

Real-time operating data offers huge potential for improving drive trains' rolling bearing supports and the system as a whole, as well as for optimising wind turbine operation. Evaluating and interpreting this gathered data enables safety factors to be more accurately defined and adapted for new developments, for example. In collaboration with pilot customers, Schaeffler is also developing sensor concepts for recording variables that influence bearing damage and which have not been monitored before.

In the case of Schaeffler's flanged rotor bearing, for example, the sensor combination used comprises of established temperature and vibration sensors, together with the Schaeffler GreaseCheck grease sensor, the new Schaeffler LoadSense Pin, and an equally new roller set sliding distance sensor.

Schaeffler GreaseCheck grease sensor

The Schaeffler GreaseCheck is an optical sensor system that allows changes in the condition of the grease to be detected early. The sensor head is just 5mm wide and records three parameters: turbidity, water content, and grease temperature. Customers can classify the condition of the grease during operation as "˜good' or "˜bad' by setting individual threshold values for turbidity and water content. A particular benefit is that wind farm operators can use the Schaeffler GreaseCheck to determine relubrication intervals for new turbines without having to go through the costly process of taking and analysing grease samples. Because the condition of the grease is continuously monitored, operators can respond by initiating maintenance measures when changes are detected, in some cases even before bearing damage occurs. If a sufficient number of turbines are installed, the relubrication intervals can be scheduled based on requirements and the maintenance outlay reduced even further in the medium term.

Schaeffler LoadSense Pin for monitoring bearing preload

In the case of pre-assembled rotor bearing systems that are flange-mounted to the adjacent construction, the preload of the screw connections that are used partially determines the bearing's load distribution and so has a direct effect on its performance capability and operating life. To monitor this screw preload, Schaeffler has developed the LoadSense Pin, a new sensor based on the company's Sensotect thin-layer sensor technology, and uses the measurement method employed by strain gauges. The LoadSense Pin's sensor coating is applied directly to the end face and (for temperature compensation) the outside surface of a small steel cylinder. The sensor is pressed into a bore (which it is slightly oversized for) on the component where measurements are to be made, and thus experiences the same expansion as the material that surrounds it. This means that, unlike conventional adhesive strain gauges, the LoadSense Pin is integrated directly into the bearing ring.

Schaeffler's LoadSense Pin allows the preload of the flanged bearing's screw connections to be monitored during operation, which means that the screws can be tightened as required, eliminating the need for preload inspection at fixed intervals. This increases the reliability of the bearing system and reduces the maintenance costs at the same time.

Roller set sliding distance sensor indicates unfavourable operating conditions

This inductive sensor records the number of times that a rolling element passes the sensor head during a fixed number of rotor shaft rotations. The rolling motion of the contact partners in the bearing always means sliding movements - which are small when the design is correct. This micro-slippage between the driven bearing ring and the rolling element set changes the circumferential speed of the rolling element set and therefore the frequency with which the rolling elements pass the sensor head. When the inner geometry of the rolling bearing is known, the mean sliding distance and micro-slippage can be very accurately calculated as an average over time from the number of rolling element passes - even when the rotor speed fluctuates - which allows various load, friction and lubrication conditions to be deduced. This measurement is simple, very reliable, and allows conclusions to be made about operating conditions (including kinematics) in the rolling bearing.

Collaborating with Schaeffler on these development projects gives pilot customers the opportunity to determine the critical influencing variables for their rotor bearing supports based on the measurement data that are recorded. Aside from the mid-term objective of enabling defined damage mechanisms in rotor bearings to be predicted, this combination of sensors already makes it possible to detect several unfavourable operating conditions in the bearing and, using an adapted maintenance and operating strategy, prevent these or initiate countermeasures at an early stage. Unfavourable conditions for the bearing that can be rectified by relubrication, for example, are also detected before bearing damage begins to occur. In this way, the rotor bearings' operating life can be increased and their operating costs reduced just a short time after installation.

For more information about the {condition monitoring system for wind turbine rotor bearing supports} go to www.schaeffler.co.uk.

Schaeffler (UK) Ltd

Unit 308, Fort Dunlop
Fort Parkway
BIRMINGHAM
B24 9FD
UNITED KINGDOM

+44 (0)121 313 5830

info.uk@schaeffler.com

www.schaeffler.co.uk

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