Feature extraction using adaptive multiwavelets and synthetic detection index for rotor fault diagnosis of rotating machinery
We proposed a feature extraction method using adaptive multiwavelets and SDI. We use the proposed method to extract features from rotor vibration signals. We simulated four types of machinery conditions with the experimental system. Features extracted by the proposed method were compared with other methods. Better results were obtained using features extracted by the new method.
feature extraction adaptive multiwavelets synthetic detection index fault diagnosis genetic algorithms non-dimensional symptom parameters