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US6792360B2 Expired / Lapsed US ⏱️ 0.0 years remaining

Harmonic activity locator

Assignee: SKF USA Inc
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Filing: 2002-12-04
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Granted: 2004-09-14
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Expires: 2022-12-04
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Abstract

Abstract Systems and methods for identifying the presence of a defect in vibrating machinery. An exemplary method comprises analysis of frequency spectrum vibration data of the machine. The method comprises deriving a harmonic activity index based on estimates of the energy associated with the frequency spectrum and the energy associated with the defect's harmonic series. The method may comprise deriving a value K by estimating a value M indicative of the energy of the defect's harmonic series and dividing M by the number of spectral lines corresponding to the defect's harmonic series. The method may further comprise deriving a value R by estimating a value Q indicative of the energy in the frequency spectrum data and dividing Q by the number of spectral lines of the frequency spectrum data. The method further comprises deriving the harmonic activity index based on the estimated K and R. Related systems for executing the methods are also disclosed.

Inventors

  • 👤 Adrianus J. Smulders
  • 👤 Jim J. Wei
  • 👤 Johannes I. Boerhout

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-10-27 16:03
CPC Classifications
G; G01; G01N; G01N29/00; G01N29/04; G01N29/12; G01H; G01H1/00; G01H1/003; G01M; G01M13/00; G01M13/02; G01M13/028; G01M7/00; G01M7/02; G01N29/14; G01N29/44; G01N29/46

Claims Analysis

Total Claims: 39
Claim 1
Independent Claim 125 words
A method of differentiating between vibration measurements indicative of the presence of a component defect in a machine and vibration measurements unrelated to the component defect, the method comprising: receiving a frequency spectrum associated with said machine; estimating a component defect fundamental frequency and harmonic frequencies and associated amplitudes; estimating a value K indicative of the total energy associated with said fundamental and harmonic frequencies; estimating a value R indicative of the total energy associated with said spectrum; deriving a value I HAL based at least in part on the estimated values K and R; and determining based at least in part on I HAL and the fundamental frequency of the component defect whether the vibrations of the machine are produced by the component defect.
Claim 2
Independent Claim 125 words
A method of differentiating between vibration measurements indicative of the presence of a component defect in a machine and vibration measurements unrelated to the component defect, the method comprising: receiving a frequency spectrum associated with said machine; estimating a component defect fundamental frequency and harmonic frequencies and associated amplitudes; estimating a value K indicative of the total energy associated with said fundamental and harmonic frequencies; estimating a value R indicative of the total energy associated with said spectrum; deriving a value I HAL based at least in part on the estimated values K and R; and determining based at least in part on I HAL and the fundamental frequency of the component defect whether the vibrations of the machine are produced by the component defect.
Claim 3
Dependent Claim 32 words
The method of claim 1 , wherein estimating a value R comprises obtaining a sum Q comprising the sum of all of the amplitudes corresponding to the spectral lines in said spectrum.
Claim 4
Dependent Claim 26 words
The method of claim 2 , wherein estimating a value R further comprises dividing Q by the total number of spectral lines P in said spectrum.
Claim 5
Dependent Claim 15 words
The method of claim 3 , wherein deriving I HAL comprises dividing K by R.
Claim 6
Dependent Claim 20 words
The method of claim 3 , wherein deriving I HAL comprises dividing K by the difference between K and R.
Claim 7
Dependent Claim 21 words
The method of claim 1 , wherein estimating a component defect fundamental frequency comprises interpolating values associated with contiguous spectral lines.
Claim 8
Dependent Claim 44 words
The method of claim 6 , wherein interpolating values comprises selecting a triplet of spectral lines, wherein an amplitude of a middle line of said triplet of spectral lines is greater than an amplitude of other spectral lines of said triplet of spectral lines.
Claim 9
Dependent Claim 35 words
The method of claim 1 , wherein estimating a value K comprises obtaining a sum M comprising the sum of all of the amplitudes associated with the fundamental and harmonic frequencies of said component defect.
Claim 10
Dependent Claim 30 words
The method of claim 8 , wherein estimating a value K further comprises dividing M by the number of harmonics N, including the fundamental frequency, associated with the component defect.
Claim 11
Dependent Claim 24 words
The method of claim 1 , wherein receiving a frequency spectrum comprises receiving data indicative of amplitudes and frequencies of vibrations of said machine.
Claim 12
Dependent Claim 15 words
The method of claim 1 , wherein deriving I HAL comprises dividing K by R.
Claim 13
Dependent Claim 20 words
The method of claim 1 , wherein deriving I HAL comprises dividing K by the difference between K and R.
Claim 14
Independent Claim 84 words
A method of evaluating a frequency domain spectrum of vibration data comprising: defining a first fundamental frequency; defining a series of harmonics of said first fundamental frequency; summing a first set of amplitudes associated with said first fundamental frequency and at least some of said harmonics to produce a value K; summing a second set of amplitudes to produce a value R; calculating a value indicative of the presence of a component defect based at least in part on said first and second sums.
Claim 15
Independent Claim 84 words
A method of evaluating a frequency domain spectrum of vibration data comprising: defining a first fundamental frequency; defining a series of harmonics of said first fundamental frequency; summing a first set of amplitudes associated with said first fundamental frequency and at least some of said harmonics to produce a value K; summing a second set of amplitudes to produce a value R; calculating a value indicative of the presence of a component defect based at least in part on said first and second sums.
Claim 16
Dependent Claim 27 words
The method of claim 13 , further comprising defining a second fundamental frequency, and repeating said harmonic defining, summing, and calculating acts using said second fundamental frequency.
Claim 17
Dependent Claim 41 words
The method of claim 14 , further comprising repeatedly defining a series of additional fundamental frequencies and repeating said harmonic defining, summing, and calculating acts using each of said additional fundamental frequencies so as to produce a corresponding series of values.
Claim 18
Dependent Claim 56 words
The method of claim 15 , wherein defining each of said fundamental frequencies comprises searching for a spectral line triplet within at least one search band in said frequency domain spectrum, said spectral line triplet having a central spectral line amplitude larger than the amplitude of either spectral line adjacent to said central spectral line amplitude.
Claim 19
Dependent Claim 15 words
The method of claim 16 , further comprising searching within a plurality of search bands.
Claim 20
Dependent Claim 22 words
The method of claim 17 , further comprising performing an exhaustive search throughout said frequency domain spectrum for said spectral line triplets.
Claim 21
Dependent Claim 14 words
The method of claim 13 , further comprising comparing said value to a threshold.
Claim 22
Dependent Claim 27 words
The method of claim 13 , wherein defining a first fundamental frequency comprises interpolating an amplitude between a pair of spectral lines of said frequency domain spectrum.
Claim 23
Dependent Claim 53 words
The method of claim 13 , wherein defining a first fundamental frequency comprises searching for a spectral line triplet within a search band in said frequency domain spectrum, said spectral line triplet having a central spectral line amplitude larger than the amplitude of either spectral line adjacent to said central spectral line amplitude.
Claim 24
Independent Claim 95 words
A method of identifying the presence of a component defect in a machine subject to vibrations, the method comprising: estimating from frequency domain vibration data a value R indicative of the spectral energy of said vibrations; estimating from said frequency domain vibration data a value K indicative of harmonically related spectral energy associated with said component defect; deriving a harmonic activity index based at least in part on the estimated values K and R; and determining the presence of said component defect based at least in part on the value of said harmonic activity index.
Claim 25
Independent Claim 95 words
A method of identifying the presence of a component defect in a machine subject to vibrations, the method comprising: estimating from frequency domain vibration data a value R indicative of the spectral energy of said vibrations; estimating from said frequency domain vibration data a value K indicative of harmonically related spectral energy associated with said component defect; deriving a harmonic activity index based at least in part on the estimated values K and R; and determining the presence of said component defect based at least in part on the value of said harmonic activity index.
Claim 26
Dependent Claim 23 words
The method of claim 22 , wherein estimating R comprises evaluating the total number of spectral lines of said frequency domain vibration data.
Claim 27
Dependent Claim 28 words
The method of claim 23 , wherein estimating R comprises dividing a sum of all the amplitudes of said spectral lines by said total number of spectral lines.
Claim 28
Dependent Claim 50 words
The method of claim 24 , wherein estimating K comprises adding amplitudes of a plurality of spectral lines that are harmonically related, and wherein estimating K further comprises dividing the result of said adding by the number of spectral lines in said plurality of spectral lines that are harmonically related.
Claim 29
Dependent Claim 26 words
The method of claim 25 , wherein deriving said index comprises evaluating a ratio that is based at least in part on dividing K by R.
Claim 30
Dependent Claim 18 words
The method of claim 26 , further comprising issuing a warning if the index is greater than 2.
Claim 31
Dependent Claim 31 words
The method of claim 25 , wherein deriving said index comprises evaluating a ratio that is based at least in part on dividing K by the difference between R and K.
Claim 32
Dependent Claim 22 words
The method of claim 22 , wherein estimating K comprises adding amplitudes of a plurality of spectral lines that are harmonically related.
Claim 33
Independent Claim 135 words
A system for identifying the presence of a component defect in a machine subject to vibrations, the system comprising: a data storage module that receives and stores data indicative of amplitudes of vibrations of said machine at selected frequencies; a data analyzer module, in communication with said data storage module, that derives a harmonic activity index, wherein said data analyzer comprises computer instructions operative for: estimating from said data a value R indicative of the spectral energy of said vibrations; estimating from said data a value K indicative of the spectral energy associated with said component defect; deriving said harmonic activity index based at least in part on the estimated values K and R; and determining the presence of said component defect based at least in part on the value of said harmonic activity index.
Claim 34
Independent Claim 135 words
A system for identifying the presence of a component defect in a machine subject to vibrations, the system comprising: a data storage module that receives and stores data indicative of amplitudes of vibrations of said machine at selected frequencies; a data analyzer module, in communication with said data storage module, that derives a harmonic activity index, wherein said data analyzer comprises computer instructions operative for: estimating from said data a value R indicative of the spectral energy of said vibrations; estimating from said data a value K indicative of the spectral energy associated with said component defect; deriving said harmonic activity index based at least in part on the estimated values K and R; and determining the presence of said component defect based at least in part on the value of said harmonic activity index.
Claim 35
Dependent Claim 22 words
The system of claim 30 , wherein said computer instructions for deriving said index comprises computer instructions for dividing K by R.
Claim 36
Dependent Claim 27 words
The system of claim 30 , wherein said computer instructions for deriving said index comprises computer instructions for dividing K by a difference between R and K.
Claim 37
Dependent Claim 34 words
The system of claim 30 , wherein estimating K is based at least in part on adding a plurality of amplitudes corresponding to a harmonic series of a fundamental frequency of said component defect.
Claim 38
Independent Claim 140 words
A system for identifying the presence of a component defect in a machine subject to vibrations, the method comprising: means for receiving data indicative of amplitudes and corresponding frequencies of vibrations of said machine; means for estimating from said data a value R indicative of the spectral energy of said vibrations; means for estimating from said data a value K indicative of the spectral energy associated with said component defect, wherein estimating K is based at least in part on adding a plurality of amplitudes corresponding to a harmonic series of the fundamental frequency of said component defect means for deriving a harmonic activity index based at least in part on the estimated values K and R; and means for determining the presence of said component defect based at least in part on the value of said harmonic activity index.
Claim 39
Independent Claim 140 words
A system for identifying the presence of a component defect in a machine subject to vibrations, the method comprising: means for receiving data indicative of amplitudes and corresponding frequencies of vibrations of said machine; means for estimating from said data a value R indicative of the spectral energy of said vibrations; means for estimating from said data a value K indicative of the spectral energy associated with said component defect, wherein estimating K is based at least in part on adding a plurality of amplitudes corresponding to a harmonic series of the fundamental frequency of said component defect means for deriving a harmonic activity index based at least in part on the estimated values K and R; and means for determining the presence of said component defect based at least in part on the value of said harmonic activity index.

USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 2007-09-14 2008-03-15 2008-09-14 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2011-09-14 2012-03-15 2012-09-14 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2015-09-14 2016-03-15 2016-09-14 $7700.00 Window Closed / Lapsed

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