IDENTIFICATION OF SENSOR FAULTS ON COMBINE HARVESTERS USING INTELLIGENT METHODS

摘要

Process monitoring and fault diagnosis is of considerable interest from an industrial perspective. In this paper, the general applicability of intelligent methods, like self-organizing maps (SOM) and multilayer feedforward networks with backpropagation , for the identification of sensor failure on combine harvesters will be illustrated. Both neural network types showed comparable results in order to classify normal and faulty sensor conditions.