Patent application title: METHODS AND SYSTEMS FOR DATA COLLECTION, LEARNING, AND STREAMING OF MACHINE SIGNALS FOR ANALYTICS AND MAINTENANCE USING THE INDUSTRIAL INTERNET OF THINGS
Inventors:
IPC8 Class: AG05B2302FI
USPC Class:
1 1
Class name:
Publication date: 2020-04-30
Patent application number: 20200133255
Abstract:
An industrial machine predictive maintenance system may include an
industrial machine data analysis facility that generates streams of
industrial machine health monitoring data by applying machine learning to
data representative of conditions of portions of industrial machines
received via a data collection network. The system may include an
industrial machine predictive maintenance facility that produces
industrial machine service recommendations responsive to the health
monitoring data by applying machine fault detection and classification
algorithms thereto. The system may predict a service event from vibration
data from at least one vibration sensor disposed to capture vibration of
a portion of an industrial machine signal a predictive maintenance server
to execute a corresponding maintenance action on the portion of the
industrial machine.Claims:
1. A system for predicting a service event from vibration data,
comprising: an industrial machine comprising at least one vibration
sensor disposed to capture vibration of a portion of the industrial
machine; a vibration analysis circuit in communication with the at least
one vibration sensor and that generates at least one of a frequency, peak
amplitude, and gravitational force of the captured vibration; a
multi-segment vibration frequency spectra structure that facilitates
mapping the captured vibration to one vibration frequency segment of a
multi-segment vibration frequency; a severity unit algorithm that
receives the frequency of the captured vibration and the corresponding
vibration frequency segment and produces a severity value which is then
mapped to one of a plurality of severity units defined for the
corresponding vibration frequency segment; and a signal generating
circuit that receives the one of the plurality of severity units, and
based thereon, signals a predictive maintenance server to execute a
corresponding maintenance action on the portion of the industrial
machine.
2. The system of claim 1, wherein the multi-segment vibration frequency spectra structure facilitates a mapping of the detected vibrations to a first severity unit when the frequency of the captured vibration corresponds to a below a low-end knee threshold-range of the multi-segment vibration frequency spectra.
3. The system of claim 1, wherein the multi-segment vibration frequency spectra structure facilitates a mapping of the detected vibrations to a second severity unit when the frequency of the captured vibration corresponds to a mid-range of the multi-segment vibration frequency spectra.
4. The system of claim 1, wherein the multi-segment vibration frequency spectra structure facilitates a mapping of the detected vibrations to a third severity unit when the frequency of the captured vibration corresponds to an above a high-end knee threshold-range of the multi-segment vibration frequency spectra.
5. The system of claim 1, wherein the severity units indicate that the detected vibrations may lead to a failure of at least the portion of the industrial machine.
6. The system of claim 1, wherein a first segment of the multi-segment vibration frequency spectra is divided into a plurality of severity units based on the amplitude of the captured vibration.
7. The system of claim 1, wherein a second segment of the multi-segment vibration frequency spectra is divided into a plurality of severity units based on the gravitational force of the captured vibration.
8. The system of claim 1, wherein the severity unit is determined based on a peak displacement of the amplitude of the captured vibration for determined vibration frequencies within a first segment of the multi-segment vibration frequency spectra.
9. The system of claim 1, wherein the severity unit is determined based on gravitational force of the captured vibration for determined vibration frequencies within a second segment of the multi-segment vibration frequency spectra.
10. The system of claim 1, wherein the portion of the industrial machine is a moving part.
11. The system of claim 1, wherein the portion of the industrial machine is a structural member supporting a moving part.
12. The system of claim 1, wherein the portion of the industrial machine is a motor.
13. The system of claim 1, wherein the portion of the industrial machine is a drive shaft.
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