Method for evaluating a frequency spectrum

Patent metadata

Field	Value
Publication number	US-10823595-B2
Application number	US-202016744468-A
Country	US
Kind code	B2
Filing date	Jan 16, 2020
Priority date	Oct 14, 2016
Publication date	Nov 3, 2020
Grant date	Nov 3, 2020

Abstract

A method evaluates a frequency spectrum representative of at least one time-dependent signal, the at least one time dependent signal being derived from an output from a measuring device under predetermined measuring device operating conditions. The time-dependent signal, includes a portion being representative of a wanted signal, and a portion being representative of noise. The method includes the steps of determining, based on the frequency spectrum of the signal, a value representative of the noise floor, identifying, based on the frequency spectrum of the signal derived under the predetermined operating condition, a peak component, and if the peak component satisfies a relative peak criterion determined on the basis of the determined value representative of the noise floor, determining the wanted signal by applying a predetermined algorithm. The invention further relates to a method for determining flow of a measuring device, and a sensor.

First claim

What is claimed is:

1. A method for determining a desired signal in a time-dependent signal derived from an output of a measuring device under predetermined measuring device operating conditions, the time-dependent signal comprising a portion being representative of the desired signal, and a portion being representative of noise, the method comprising the steps of:
determining, based on the frequency spectrum of the signal, a value representative of the noise floor, the value representative of the noise floor being calculated as an average amplitude of a number of selected noise representative frequencies spectrum components of the time-dependent signal;
identifying, based on the frequency spectrum of the signal derived under the predetermined operating condition, a peak component, the peak component being the frequency component with a greatest amplitude value; and
if the amplitude of the identified peak component satisfies a relative peak criterion determined on the basis of the determined value representative of the noise floor, determining the wanted signal by applying a predetermined algorithm.

2. The method according to claim 1 , wherein the noise representative frequencies spectrum components are selected among frequency components below a predefined frequency value, wherein the noise representative frequencies spectrum components are the remaining components after selecting a predetermined number of high value frequency components, wherein the high value frequency components are a predetermined number of frequency components with the greatest amplitude values.

3. The method according to claim 1 , wherein a relative peak signal is determined from a difference between the noise floor and the desired signal, wherein the relative peak signal is larger than or equal to the relative peak criterion.

4. The method according to claim 1 , wherein the predetermined algorithm is adaptive with respect to the noise by:
always calculating the relative peak criterion as a function of the noise being present, and
selecting a suitable averaging procedure securing a stable desired signal output.

5. The method according to claim 1 , wherein the frequency spectrum is calculated by averaging frequency spectra of a predetermined number of time dependent signals derived from the output of the measuring device.

6. The method according to claim 1 , wherein the measuring device is a vortex measuring device, and wherein the time-dependent signal comprises a portion being representative of a flow, and a portion being representative of noise.

7. The method according to claim 1 , wherein the measuring device is a thermal flow meter comprising a plurality of temperature sensors for measuring a thermal profile around a heated body.

8. A method according to claim 1 , further comprising the steps of:
computing a sequence of frequency spectra, each frequency spectrum of the sequence being computed by the method comprising averaging frequency spectra of a predetermined number of time dependent signals derived from the output of the measuring device, wherein for the first spectrum of the sequence, the predetermined number is 1, and for each subsequent spectrum of the sequence, the predetermined number is increased by a predetermined positive integer value, and wherein for each frequency spectrum of the sequence of frequency spectra, the corresponding desired signal is determined by applying the predetermined algorithm; and
evaluating if at least one desired signal is determined to be greater than the noise floor, then the first spectrum of the sequence of spectra where the determined desired signal is greater than the noise floor, is selected as basis for calculating the desired signal of the measuring device, otherwise determining the desired signal to be zero.

9. The method of claim 8 , wherein each frequency spectrum is divided into a number of discrete frequency components, and identifying the peak component comprises the step of deriving the peak by interpolating based on several frequency components.

10. The method of claim 8 , wherein:
each frequency spectrum of the sequence of frequency spectra is numbered with a consecutively increasing channel number, the first frequency spectrum being numbered with the smallest channel number, the last frequency spectrum being numbered with the largest channel number, wherein frequency spectra having higher channel numbers being averaged over frequency spectra of predetermined numbers of time dependent signals with lower frequency limits than frequency spectra of predetermined numbers of time dependent signals, having lower channel numbers;
prior to the step of evaluating if at least one desired signal is determined to be greater than the noise floor, for each frequency spectrum of the sequence of frequency spectra, the corresponding desired signal is determined by applying the predetermined algorithm, and
if the desired signal of the spectrum having the smallest channel number is determined to be greater than the noise floor, that spectrum is selected as basis for calculating a steady state signal of the measuring device, otherwise if the desired signal of the spectrum having the smallest channel number is determined to be equal to the noise floor and at least one of the spectra having a channel number between the smallest and the largest channel number having a desired signal greater than the noise floor, one of the spectra having a desired signal greater than the noise floor is selected as a basis for calculating a dynamic signal of the measuring device, otherwise the noise representative frequencies spectrum components are selected among frequency components below a predefined frequency value, wherein the noise representative frequencies spectrum components are the remaining components after selecting a predetermined number of high value frequency components, wherein the high value frequency components are a predetermined number of frequency components with the highest amplitude values.

11. The method according to claim 8 , further comprising a step of determining a stationary signal and a dynamic signal.

12. The method according to claim 8 , wherein the output signal is a relative pressure signal.

13. The method according to claim 8 , wherein the measuring device comprises a arranged within a one-port housing.

14. The method according to claim 8 , wherein the measuring device is one of:
a vortex measuring device; and
a thermal flow meter comprising a plurality of temperature sensors for measuring a thermal profile around a heated body.

15. A measuring device comprising:
a measuring device structure configured to provide an output for deriving at least one time-dependent signal, the at least one time dependent signal being derived from the output under predetermined measuring device structure operating conditions;
an evaluating means for evaluating a frequency spectrum representative of the at least one time-dependent signal, the time-dependent signal comprising a portion being representative of a desired signal, and a portion being representative of noise, wherein the evaluating comprises the steps of:
determining, based on the frequency spectrum of the signal, a value representative of the noise floor, the value representative of the noise floor being calculated as an average amplitude of a number of selected noise representative frequencies spectrum components of the time-dependent signal;
identifying, based on the frequency spectrum of the signal derived under the predetermined operating condition, a peak component, the peak component being the frequency component with a greatest amplitude

Assignees

• Grundfos Holding As

Inventors

• Pedersen Ole Hartlev

Classifications

• G01F1/3209 Primary

  using Karman vortices · CPC title

• G01F1/3287

  circuits therefor · CPC title

• G01F1/325

  Means for detecting quantities used as proxy variables for swirl · CPC title

• G01F1/3259

  for detecting fluid pressure oscillations · CPC title

• G01F1/3273

  for detecting fluid speed oscillations by thermal sensors · CPC title