Fault diagnosis of gear box based on information entropy

The basic conception of the information entropy (IE) is introduced as well as some entropy diagnosis methods which are commonly used nowadays. The vibration signal tends to be non-stationary and complex owing to the complex working condition of the wind turbine, the difference of the spectrum energy distribution under different loads is remarkable, which causes that there is no comparability among the extracted conventional characteristic parameters, and the change of vibration can not be discerned as a result of the loads or the failure. According to the above characteristics, the information entropy, which outlines the overall statistical characteristic of the signal, was extracted as the characteristic parameter to judge the machinery state. The information entropy of vibration signals in the different states was applied as input vector to establish the recognition neural network. The experimental results demonstrated the effectiveness of this method.