Title :
LabVIEW program design for on-line data acquisition and predictive maintenance
Author :
Srinivasan, Sujatha ; Bodruzzaman, M. ; Shirkhodaie, A. ; Malkani, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee State Univ., Nashville, TN, USA
Abstract :
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
Keywords :
air conditioning; backpropagation; data acquisition; feature extraction; maintenance engineering; multilayer perceptrons; online operation; ventilation; visual programming; LabVIEW program design; fan-motor system; graphical programming language; online data acquisition; predictive maintenance; two-layer backpropagation neural network; Computer languages; Condition monitoring; Data acquisition; Data mining; Feature extraction; Instruments; Neural networks; Predictive maintenance; Signal generators; Timing;
Conference_Titel :
System Theory, 1998. Proceedings of the Thirtieth Southeastern Symposium on
Conference_Location :
Morgantown, WV
Print_ISBN :
0-7803-4547-9
DOI :
10.1109/SSST.1998.660128
