LabVIEW program design for on-line data acquisition and predictive maintenance

The online design for data acquisition and predictive maintenance for a fan-motor system using the graphical programming language, LabVIEW is presented. The data set were created for different faults under varying rpm levels from the synthetically generated fault data and the normal base line data acquired from the fan-motor system. The data were processed and the extracted features were fed to a two layer backpropagation neural network. The design is to be implemented on an online basis.