A LabVIEW based electromotor data acquisition and analysis system

Lab VIEW (Laboratory Virtual Instrument Engineering Workbench) is the graphical development environment for creating flexible and scalable test, measurement, and control applications rapidly and at minimal cost. LabVIEW is gaining its popularity as a graphical programming language especially for data acquisition and measurement. This is due to the vast array of data acquisition cards and measurement systems, which can be supported by the LabVIEW as well as the relatively easy by which advanced software can be programmed. In this paper, a LabVIEW based monitoring and analysis system developed for electromotor monitoring and predictive maintenance is presented. The data set were created for different faults from the synthetically generated fault data and the normal base line data acquired from the motor system. The analysis and monitoring of the signals are of the concern for fault detection and implementing predictive maintenance. The data were processed and extracted features were used to report motor's health and predict period of maintenance. Implementation details are presented including power quality disturbances such as voltage sags, swells, outages, harmonics and unbalance, vibration signals process such as FFT and Window, temperature display. The design is to be implemented on an on-line basis.