An estimation of the state of consumption of a positive displacement pump based on dynamic pressure or vibrations using neural networks
Diagnosis of consumption of a pump based on dynamic pressure or vibrations is conducted. Three neural networks MLP, GRNN and PNN are used. Four methods of signal pre-processing are described. Formation of the training set and test set of the raw data is described. Algorithms are presented and evaluated based on accuracy and complexity criterion.
positive displacement pump neural networks computational intelligence methods signal processing fast fourier transform pattern recognition