Causes of abnormal wind power in solar container communication stations

Can a CNN-based anomaly detection system be used in wind power?

The research on anomaly detection systems and methods for WPE based on AI has become a hot topic in the field of wind power. This article adopted a CNN-based method to construct a WPE anomaly detection system, and the effectiveness of this method has been verified through experiments.

What are the shortcomings of AI anomaly detection system of wind power equipment?

Appropriate methods can be used to balance data to avoid misjudgment caused by data imbalance.However, at present, the AI anomaly detection system of wind power equipment has some shortcomings, including insufficient allocation of computing resources, poor generalization ability of system model and difficult to ensure data security.

What causes an abnormal shutdown of a wind turbine?

It can be inferred that the abnormal shutdown of the wind turbine may be caused by abnormal parameters such as speed and current. When establishing a WPE anomaly detection model, it is necessary to pay special attention to these parameters in order to timely detect and diagnose unit anomalies.

Why is wind power equipment dangerous?

However, due to the complexity and particularity of wind power equipment (WPE), various abnormal situations often occur during its operation, such as faults, damage, wear, etc. These abnormal situations not only affect the normal operation of WPE, but may also pose a threat to the safety of the equipment.