Demo Owner Mike Stanley
By monitoring the vibration signature of a rotating machinery we can predict the remaining useful life of that machine.
- Condition monitoring
- Visual characterization of the fundamental frequency of a motor along with its harmonics
- Features that can be observed: wavelength, transfer coefficients, statistical measures, standard deviations, variances
- Preparing work flows where users can use machine learning algorithms to to figure out what feature sets are important, focusing only on the features that are needed to predict the remaining useful life of the machine