Systems and methods for removing background noise in an industrial pump environment

US11770196B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11770196-B2
Application numberUS-201916697026-A
CountryUS
Kind codeB2
Filing dateNov 26, 2019
Priority dateMay 9, 2016
Publication dateSep 26, 2023
Grant dateSep 26, 2023

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  5. First independent claim

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Abstract

Official abstract text for this publication.

Methods and systems for monitoring a plurality of components of a pump in an industrial environment include 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 operationally coupled to the pump and communicatively coupled to the data acquisition circuit; a data processing circuit structured to utilize at least one of the plurality of detection values to perform at least one noise processing operation on at least a portion of the plurality of detection values; a signal evaluation circuit structured to determine a pump performance parameter in response to the noise processed plurality portion of the plurality of detection values; and a response circuit structured to perform at least one operation in response to the pump performance parameter.

First claim

Opening claim text (preview).

What is claimed is: 1. A system for monitoring a component of a pump in an industrial environment, the system 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 operationally coupled to the pump and communicatively coupled to the data acquisition circuit; a data processing circuit structured to utilize at least one of the plurality of detection values to perform at least one noise processing operation on at least a portion of the plurality of detection values; a signal evaluation circuit structured to determine a pump performance parameter in response to the noise processed portion of the plurality of detection values; and a response circuit structured to perform at least one operation in response to the pump performance parameter, wherein the at least one operation comprises storing at least a portion of a characteristic vibration fingerprint of the component of the pump and the pump performance parameter on a data marketplace, wherein the data marketplace is self-organized and automated, and wherein the characteristic vibration fingerprint is organized in the data marketplace for consumption by consumers for identifying a pump performance parameter of a second pump. 2. The system of claim 1 , wherein the data processing circuit is further structured to perform the at least one noise processing operation by performing at least one of: (i) analyze a noise in the portion of the plurality of detection values, (ii) isolate a noise in the portion of the plurality of detection values, or (iii) remove a noise from the portion of the plurality of detection values. 3. The system of claim 1 , wherein the data processing circuit is further structured to perform the at least one noise processing operation by isolating a noise associated with vibration of the component of the pump to obtain a characteristic vibration fingerprint of the component of the pump. 4. The system of claim 1 , wherein the data processing circuit is further structured to perform the at least one noise processing operation by removing a known noise, wherein the known noise comprises at least one of: an ambient noise, a vibrational noise, a noise associated with a distinct process stage, a noise indicative of needed maintenance, a noise from an offset industrial environment, a noise from a component of the industrial environment vibrationally coupled to the pump, a characteristic vibration fingerprint of an offset industrial environment, a characteristic vibration fingerprint of a component of the industrial environment vibrationally coupled to the pump, a noise associated with slippage of a shaft relative to the pump, a noise associated with a slow speed rotation of the pump, a noise associated with a fluid flowing through an adjacent pipe, or a noise associated with a local environment of the pump. 5. The system of claim 1 , wherein the data processing circuit is further structured to perform the at least one noise processing operation by removing a known noise, wherein the known noise comprises at least one of a noise from an offset industrial environment or a characteristic vibration fingerprint of an offset industrial environment, and wherein the offset industrial environment comprises at least one aspect of: an offset pump of a same model as the pump, an offset pump from a same manufacturer as the pump, an offset pump at a same location as the pump, a distinct component vibrationally coupled to the pump, an offset pump operated by a common operating entity of the pump, an offset pump operated by a competing entity of an operating entity of the pump, an offset pump having a similar local environment to a local environment of the pump, or historical data. 6. The system of claim 1 , wherein the data processing circuit further comprises a band pass filter. 7. The system of claim 6 , wherein the response circuit is further structured to vary the band pass filter based on a parameter of the pump. 8. The system of claim 1 , further comprising: a data storage circuit structured to store at least one of a specification, a system geometry, or an anticipated state information for the pump and associated rotating components, to store historical performance for the pump and associated rotating components, and to buffer the plurality of detection values for a predetermined length of time; and a bearing analysis circuit structured to determine a bearing performance parameter in response to a comparison of the buffered plurality of detection values to a bearing specification and an anticipated state information for a bearing; and wherein the signal evaluation circuit is further structured to determine the pump performance parameter further in response to the bearing performance parameter. 9. The system of claim 8 , wherein the signal evaluation circuit is further structured to determine the pump performance parameter further in response to at least one of an anticipated state of the pump, historical detection values, or a geometry of the industrial environment. 10. The system of claim 1 , wherein at least one of the plurality of input sensors measures at least one attribute of: temperature of bearings, vibration of driveshafts, a speed of the pump, a rotations per minute (RPM) of the pump, a torque of the pump, or an acceleration of the pump. 11. The system of claim 1 , wherein at least one of the plurality of input sensors is positioned at least one location of: a transformer, a pump control center, a blade, a fan, an inflow, an outflow, or a breaker. 12. The system of claim 1 , wherein the signal evaluation circuit comprises a frequency transformation circuit and a phase lock loop circuit structured to align at least one of the plurality of detection values from a first part of the pump with at least one of the plurality of detection values from a second part of the pump. 13. The system of claim 1 , wherein the pump performance parameter indicates at least one condition of: torsion on a driveshaft, slippage of a shaft, a potential bearing failure, an increased viscosity of fluid flowing through the pump, or an uneven rotation of a shaft. 14. A method for monitoring a component of a pump, the method comprising: interpreting a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors operationally coupled to the pump; performing at least one noise processing operation on at least a portion of the plurality of detection values; determining a pump performance parameter in response to the at least one noise processing operation; and performing at least one operation in response to the pump performance parameter, wherein the at least one operation comprises storing at least a portion of a characteristic vibration fingerprint of the component of the pump and the pump performance parameter on a data marketplace, wherein the data marketplace is self-organized and automated, and wherein the characteristic vibration fingerprint is organized in the data marketplace for consumption by consumers for identifying a pump performance parameter of a second pump. 15. The method of claim 14 , wherein the performing the at least one noise processing operation comprises detecting a noise of at least one of the plurality of detection values. 16. The method of claim 14 , wherein the performing the at least one noise processing operation comprises isolating a noise in at least one of the plurality of detection values. 17. The method

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Classifications

  • characterised by the network communication · CPC title

  • Feedforward networks · CPC title

  • Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS] · CPC title

  • by changing the path, e.g. traffic rerouting, path reconfiguration · CPC title

  • in relation to data integrity, e.g. data losses, bit errors · CPC title

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What does patent US11770196B2 cover?
Methods and systems for monitoring a plurality of components of a pump in an industrial environment include 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 operationally coupled to the pump and communicatively coupled to the data acquisition circuit; a data…
Who is the assignee on this patent?
Strong Force Iot Portfolio 2016 Llc, Strong Force Tx Portfolio 2018 Llc
What technology area does this patent fall under?
Primary CPC classification G05B19/4185. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Sep 26 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).