Importance

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Abstract

A computer-implemented method includes: accessing streams of data encoding measurements taken at one or more pieces of rotating equipment; accessing a database encoding past measurement records from the one or more pieces of rotating equipment; identifying, using a machine learning (ML) module, relevant ranges of measurement values for at least a portion of the measurements, wherein the ML module is adapted to predict the relevant ranges of measurement values; extracting a subset of the at least a portion of the measurements, wherein the subset is identified by the ML module as more capable of distinguishing between normal and abnormal operating conditions for the one or more pieces of rotating equipment; and generating, on a display device, at least one plot based on the subset within the relevant ranges of measurement values such that the one or more pieces of rotating equipment are monitored continuously for deviations from the normal operating conditions.

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First Claim