Systems, devices and methods for bearing analysis in an industrial environment
Systems, devices and methods for bearing analysis in an industrial environment are disclosed. A data acquisition circuit structured to interpret a plurality of detection values corresponding to a plurality of input sensors coupled to the data acquisition circuit, a data storage for storing specifications and anticipated state information for a plurality of bearing types and buffering the plurality of detection values for a predetermined length of time, and a bearing analysis circuit to analyze buffered detection values relative to specifications and anticipated state information resulting in at least one bearing parameter are described. Analysis may include filtering the detection values through a high pass filter, identifying rapid changes in detection values, identifying frequencies at which spikes occur and comparing frequencies and spikes in amplitude relative to an anticipated state information and specification.
1. A monitoring device for bearing analysis in an industrial environment, comprising:
a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit;
a data storage for storing specifications and anticipated state information for a plurality of bearing types and buffering the plurality of detection values for a predetermined length of time;
a bearing analysis circuit structured to analyze buffered detection values relative to the specifications and the anticipated state information resulting in at least one bearing parameter, wherein the at least one bearing parameter is at least one of a bearing performance parameter, a bearing health value, or a bearing life prediction parameter; and
a response circuit to perform at least one operation in response to the at least one bearing parameter;
wherein the plurality of input sensors includes at least two sensors selected from a group consisting of a temperature sensor, a load sensor, an optical vibration sensor, an acoustic wave sensor, a heat flux sensor, an infrared sensor, an accelerometer, a tri-axial vibration sensor and a tachometer;
wherein the at least one operation comprises providing an instruction to a data storage circuit;
wherein the data storage circuit is responsive to an instruction to store additional data; and
wherein the instruction to the data storage circuit is further in response to at least one of: a change in a relative phase difference or a rate of change in a relative phase difference.
2. The device of claim 1 , wherein the at least one operation is further in response to at least one of: a change in amplitude of at least one of the plurality of detection values; a change in frequency or relative phase of at least one of the plurality of detection values; a rate of change in both amplitude and relative phase of at least one of the plurality of detection values; or a relative rate of change in amplitude and relative phase of at least one of the plurality of detection values.
3. The device of claim 1 , wherein the at least one operation comprises issuing an alert, wherein the alert comprises at least one of: haptic, audible, or visual.
4. The device of claim 1 , wherein the data storage circuit is further structured to store agitator specifications, bearing specifications, and anticipated state information for agitator bearings and buffering the plurality of detection values for a determined length of time.
5. The device of claim 1 , wherein the data storage circuit is further structured to store pump specifications, bearing specifications, and anticipated state information for pump bearings and buffering the plurality of detection values for a determined length of time.
6. The device of claim 1 , wherein the data acquisition circuit comprises a multiplexer circuit whereby alternative combinations of the plurality of detection values are selected based on at least one of user input, a detected state, or a selected operating parameter for a machine.
7. The device of claim 6 , wherein the at least one operation comprises at least one of: enabling or disabling one or more portions of the multiplexer circuit, or altering multiplexer control lines.
8. The device of claim 1 , wherein the data acquisition circuit comprises at least two multiplexer circuits and the at least one operation comprises changing connections between the at least two multiplexer circuits.
9. A method of analyzing bearings and sets of bearings, comprising:
receiving a plurality of detection values corresponding to data from a temperature sensor, a vibration sensor positioned near the bearings or the sets of bearings, and a tachometer to measure rotation of a shaft associated with the bearings or the sets of bearings;
comparing the detection values corresponding to the temperature sensor to a predetermined maximum level;
filtering the detection values corresponding to the vibration sensor through a high pass filter where the filter is selected to eliminate vibrations associated with detection values associated with the tachometer;
identifying rapid changes in at least one of a temperature peak or a vibration peak;
identifying frequencies at which spikes in the filtered detection values corresponding to the vibration sensor occur and comparing frequencies and spikes in amplitude relative to an anticipated state information and specification associated with the bearings or the sets of bearings; and
determining a bearing parameter.
10. The method of claim 9 , wherein the bearing parameter is at least one of a bearing performance parameter, a bearing health value, and a bearing life prediction parameter.
11. The method of claim 10 , the method further comprising:
performing at least one operation in response to the bearing parameter, wherein the at least one operation comprises issuing an alert, wherein the alert comprises at least one of: haptic, audible, or visual.
12. A system for data collection, processing, and bearing analysis in an industrial environment comprising: a plurality of monitoring devices, each monitoring device comprising:
a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit;
a streaming circuit for streaming at least a subset of the plurality of detection values to a remote learning system;
the remote learning system including a bearing analysis circuit structured to analyze the plurality of detection values relative to a machine-based understanding of a state of at least one bearing, wherein the state of the at least one bearing is at least one of: an operating state, a health state, a predicted lifetime state, or a fault state; and
a response circuit to perform at least one operation in response to the state of the at least one bearing;
wherein the plurality of input sensors includes at least two sensors selected from a group consisting of a temperature sensor, a load sensor, an optical vibration sensor, an acoustic wave sensor, a heat flux sensor, an infrared sensor, an accelerometer, a tri-axial vibration sensor and a tachometer;
wherein the at least one operation comprises providing an instruction to a data storage circuit;
wherein the data storage circuit is responsive to an instruction to store additional data; and
wherein the instruction to the data storage circuit is further in response to at least one of: a change in a relative phase difference or a rate of change in a relative phase difference.
13. The system of claim 12 , wherein the machine-based understanding is developed based on a model of the at least one bearing, wherein the model determines a state of the at least one bearing based at least in part on a relationship of a behavior of the bearing to an operating frequency of a component in the industrial environment.
14. The system of claim 12 , wherein the machine-based understanding is developed by providing inputs to a deep learning machine.
15. The system of claim 14 , wherein the inputs comprise a plurality of streams of detection values for a plurality of bearings, and a plurality of measured state values for the plurality of bearings.
16. The system of claim 12 , wherein the at least one operation is further in response to at least one of: a change in amplitude of at least one of the plurality of detection values; a change in frequency or relative phase of at least one of the plurality of detection values; a rate of change in both amplitude and relative phase of at least one of the plurality of detection values; or a relative rate of change in amplitude and relative phase of at least one of the plurality of detection values.
17. The system of claim 12 , wherein the at least one operation comprises issuing an alert, wherein the alert comprises at least one of: haptic, audible, or visual.
18. The system of claim 12 , wherein the data acquisition circuit comprises a multiplexer circuit whereby alternative combinations of the plurality of detection values are selected based on at least one of user input, a detected state, or a selected operating parameter for a machine.
19. The system of claim 18 , wherein the at least one operation comprises at least one of: enabling or disabling one or more portions of the multiplexer circuit, or altering multiplexer control lines.
20. The system of claim 12 , wherein the data acquisition circuit comprises at least two multiplexer circuits and the at least one operation comprises changing connections between the at least two multiplexer circuits.