Certainly, condition monitoring is important for small wind turbines. Small wind turbines can be an effective and sustainable source of energy for remote areas, but they are also subjected to various environmental factors that can cause wear and tear on the components, leading to potential failures or reduced performance over time.
By implementing condition monitoring techniques such as acoustic emission monitoring, it is possible to detect and diagnose potential faults or issues before they become critical. This proactive approach can help minimize downtime, reduce maintenance costs and extend the life of the turbine.
Let's just take QingCheng AE Institute's Condition Monitoring solution of Wind Turbines as an example of its process:
1.Acoustic Emission Sensors can detect the high-frequency signals emitted by the material as it undergoes changes, such as cracking or deformation,any abnormal working of the wind power device.
2.The sensors sample the signals, which are then amplified and filtered to remove any noise or interference by the Acoustic emission preamplifiers . The resulting signal is transmitted to the corresponding Online Monitoring System for analysis and processing of the data.
3.Monitor transmits the processed data to the cloud server through network communication，such as Wi-Fi, 4G, LoRa, NB-IoT, Zigbee etc.
4.The QingCheng IoT Cloud Platform can display the wind turbines condition in real time, including performance parameters such as Hits, Duration, Rise time, Counts, Amplitude, ASL, RMS and Energy.
5.The Cloud Platform can perform intensity, activity and comprehensive rating of acoustic signals and display them.When the device status is abnormal, the Cloud Platform will push alarm message to owner via SMS or email automatically.
If you are interested in learning more about Condition Monitoring AE solution of Wind Turbines, I recommend visiting the website of QingCheng AE Institute (http://www.aendt.com) which offer a range of products and services that can assist small wind turbine operators with effective equipment monitoring and maintenance.
For your information:
Wind Turbines Condition Monitoring System:
https://aendt.com/acoustic/solutions/s4/