Moonstone Insight is our cloud platform used to process datasets. The results are Metrics Tables that can be made available to 3rd party over APIs or published in form of periodic reports. The processing of datasets is based on Smart Data allowing you getting focused results for a pool of equipment based on engineering knowledge.

Signal Processing:

Frequency analysis

Envelop analysis

Integrators

Filters

Inherit all Python numpy and scipy functions

Robotics and Rotating Machines:

Movement extraction

Movement phase extraction:

Movement direction extraction

Acceleration, speed and displacement spaces

Multi-source time synchronization

Rotation speed (RPM) computation

Analytics:

Analytics defined with processing pipelines (python)

Energy computation in frequency bands (fixed or speed dependent)

Various machine learning trend models

Inherit ML algorithms from Python scikit-learn library

Complex non-linear curve fitting for modeling and parameter extraction

Metrics computation by complex keys (timestamp, robot, test, direction ...)

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