US6629058B2
Expired / Lapsed
US
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Fault diagnosis method and apparatus
Assignee: Rion Co Ltd
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Filing: 2001-04-17
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Granted: 2003-09-30
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Expires: 2021-04-17
Abstract
Abstract A fault diagnosis apparatus comprises a vibration sensor for detecting vibration waveforms being generated by machinery or equipment, a cumulative frequency computing device for obtaining a cumulative frequency distribution curve of an absolute value of the vibration waveforms detected by the vibration sensor, a maximum value detecting device for obtaining a maximum value xp of the vibration waveforms detected by the vibration sensor, a peak ratio computing device for obtaining the peak ratio beta1 of an equivalent effective value sigmaeq in the cumulative frequency distribution curve computed by the cumulative frequency computing device to the maximum value xp computed by the maximum value detecting device, and a fault diagnosing device for diagnosing the degree of fault of the machinery or equipment from the magnitude of the peak ratio beta1 computed by the peak ratio computing device.
Inventors
- 👤 Hidemichi Komura
- 👤 Kazuo Shibata
- 👤 Kazuhiro Shimomura
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-27 21:14
CPC Classifications
G; G01; G01M; G01M13/00; G01M13/02; G01M13/028; G01H; G01H1/00; G01H1/003; G01M15/00; G01M15/04; G01M15/12
Claims Analysis
Total Claims: 22
Claim 1
Independent Claim
85 words
A fault diagnosis method comprising the steps of: detecting vibration waveforms being generated by machinery or equipment; obtaining a ratio (β 1 ) of a maximum value (x p ) of the absolute value of the vibration waveforms with respect to a specific value in a cumulative frequency distribution curve of an amplitude probability density function obtained from the absolute value of the vibration waveforms; and diagnosing a degree of fault in the machinery or equipment from the magnitude of the ratio (β 1 ).
Claim 2
Dependent Claim
85 words
A fault diagnosis method comprising the steps of: detecting vibration waveforms being generated by machinery or equipment; obtaining a ratio (β 1 ) of a maximum value (x p ) of the absolute value of the vibration waveforms with respect to a specific value in a cumulative frequency distribution curve of an amplitude probability density function obtained from the absolute value of the vibration waveforms; and diagnosing a degree of fault in the machinery or equipment from the magnitude of the ratio (β 1 ).
Claim 3
Dependent Claim
79 words
A fault diagnosis method comprising the steps of: detecting vibration waveforms being generated by machinery or equipment; obtaining a ratio (β 2 ) of an effective value (σ) of the vibration waveforms with respect to a specific value in a cumulative frequency distribution curve of an amplitude probability density function obtained from the absolute value of the vibration waveforms; and diagnosing a degree of fault of the machinery or equipment from the magnitude of the ratio (β 2 ).
Claim 4
Dependent Claim
79 words
A fault diagnosis method comprising the steps of: detecting vibration waveforms being generated by machinery or equipment; obtaining a ratio (β 2 ) of an effective value (σ) of the vibration waveforms with respect to a specific value in a cumulative frequency distribution curve of an amplitude probability density function obtained from the absolute value of the vibration waveforms; and diagnosing a degree of fault of the machinery or equipment from the magnitude of the ratio (β 2 ).
Claim 5
Dependent Claim
113 words
A fault diagnosis method comprising the steps of: detecting vibration waveforms being generated by machinery or equipment; obtaining a mean value of the third power (β 3 ) and a mean value of the fourth power (β 4 ) which are statistics, from data of the vibration waveforms normalized with a specific absolute value in a cumulative frequency distribution curve of an amplitude probability density function obtained from the absolute value of the vibration waveforms; and diagnosing a degree of fault of the machinery or equipment from the magnitude of said mean value mean value of the third power (β 3 ) and the mean value of the fourth power (β 4 ).
Claim 6
Dependent Claim
113 words
A fault diagnosis method comprising the steps of: detecting vibration waveforms being generated by machinery or equipment; obtaining a mean value of the third power (β 3 ) and a mean value of the fourth power (β 4 ) which are statistics, from data of the vibration waveforms normalized with a specific absolute value in a cumulative frequency distribution curve of an amplitude probability density function obtained from the absolute value of the vibration waveforms; and diagnosing a degree of fault of the machinery or equipment from the magnitude of said mean value mean value of the third power (β 3 ) and the mean value of the fourth power (β 4 ).
Claim 7
Dependent Claim
38 words
The fault diagnosis method according to claim 1 , wherein the certain specific absolute value of the vibration waveforms in the cumulative frequency distribution curve is an equivalent effective value: σ eq of 68.3% of the cumulative frequency.
Claim 8
Dependent Claim
140 words
A fault diagnosis apparatus comprising: vibration detecting means for detecting vibration waveforms being generated by machinery or equipment; cumulative frequency computing means for obtaining a cumulative frequency distribution curve of an absolute value of the vibration waveforms detected by the vibration detecting means; maximum value detecting means for obtaining a maximum value (x p ) of the vibration waveforms detected byte vibration detecting means; peak ratio computing means for obtaining a peak ratio (β 1 ) of a certain specific value in the cumulative frequency distribution curve computed by the cumulative frequency computing means to the maximum value (x p ) computed by the maximum value detecting means; and fault diagnosing means for diagnosing a degree of fault of the machinery or equipment from the magnitude of the peak ratio (β 1 ) computed by the peak ratio computing means.
Claim 9
Dependent Claim
140 words
A fault diagnosis apparatus comprising: vibration detecting means for detecting vibration waveforms being generated by machinery or equipment; cumulative frequency computing means for obtaining a cumulative frequency distribution curve of an absolute value of the vibration waveforms detected by the vibration detecting means; maximum value detecting means for obtaining a maximum value (x p ) of the vibration waveforms detected byte vibration detecting means; peak ratio computing means for obtaining a peak ratio (β 1 ) of a certain specific value in the cumulative frequency distribution curve computed by the cumulative frequency computing means to the maximum value (x p ) computed by the maximum value detecting means; and fault diagnosing means for diagnosing a degree of fault of the machinery or equipment from the magnitude of the peak ratio (β 1 ) computed by the peak ratio computing means.
Claim 10
Dependent Claim
141 words
A fault diagnosis apparatus comprising: vibration detecting means for detecting vibration waveforms being generated by machinery or equipment: cumulative frequency computing means for obtaining a cumulative frequency distribution curve of an absolute value of the vibration waveforms detected by the vibration detecting means; effective value computing means for obtaining an effective value (σ) of the vibration waveforms detected by the vibration detecting means; effective value ratio computing means for obtaining an effective value ratio (β 2 ) of a certain specific value in the cumulative frequency distribution curve computed by the cumulative frequency computing means to the effective value (σ) computed by the effective value computing means; and fault diagnosing means for diagnosing a degree of fault of the machinery or equipment from the magnitude of the effective value ratio (β 2 ) computed by the effective value ratio computing means.
Claim 11
Dependent Claim
141 words
A fault diagnosis apparatus comprising: vibration detecting means for detecting vibration waveforms being generated by machinery or equipment: cumulative frequency computing means for obtaining a cumulative frequency distribution curve of an absolute value of the vibration waveforms detected by the vibration detecting means; effective value computing means for obtaining an effective value (σ) of the vibration waveforms detected by the vibration detecting means; effective value ratio computing means for obtaining an effective value ratio (β 2 ) of a certain specific value in the cumulative frequency distribution curve computed by the cumulative frequency computing means to the effective value (σ) computed by the effective value computing means; and fault diagnosing means for diagnosing a degree of fault of the machinery or equipment from the magnitude of the effective value ratio (β 2 ) computed by the effective value ratio computing means.
Claim 12
Dependent Claim
172 words
A fault diagnosis apparatus comprising: vibration detecting means for detecting vibration waveforms being generated by machinery or equipment; cumulative frequency computing means for obtaining a cumulative frequency distribution curve of an absolute value of the vibration waveforms detected by the vibration detecting means; normalizing means for normalizing the vibration waveforms obtained at a certain specific value in the cumulative frequency distribution curve computed by the cumulative frequency computing means; mean value of the third power and mean value of the fourth computing a means for obtaining a mean value of the third power (β 3 ) and a mean value of the fourth power (β 4 ) from data normalized by the normalizing means; and fault diagnosing means for diagnosing a degree of fault of the machinery or equipment from the magnitude of the mean value of the third power (β 3 ) and the mean value of the fourth power (β 4 ) computed by the mean value of the third power and mean value of the fourth power computing means.
Claim 13
Dependent Claim
172 words
A fault diagnosis apparatus comprising: vibration detecting means for detecting vibration waveforms being generated by machinery or equipment; cumulative frequency computing means for obtaining a cumulative frequency distribution curve of an absolute value of the vibration waveforms detected by the vibration detecting means; normalizing means for normalizing the vibration waveforms obtained at a certain specific value in the cumulative frequency distribution curve computed by the cumulative frequency computing means; mean value of the third power and mean value of the fourth computing a means for obtaining a mean value of the third power (β 3 ) and a mean value of the fourth power (β 4 ) from data normalized by the normalizing means; and fault diagnosing means for diagnosing a degree of fault of the machinery or equipment from the magnitude of the mean value of the third power (β 3 ) and the mean value of the fourth power (β 4 ) computed by the mean value of the third power and mean value of the fourth power computing means.
Claim 14
Dependent Claim
38 words
The fault diagnosis apparatus according to claim 5 , wherein the certain specific absolute value of the vibration waveforms in the cumulative frequency distribution curve is an equivalent effective value: σ eq of 68.3% of the cumulative frequency.
Claim 15
Dependent Claim
38 words
The fault diagnosis method according to claim 2 , wherein the certain specific absolute value of the vibration waveforms in the cumulative frequency distribution curve is an equivalent effective value: σ eq of 68.3% of the cumulative frequency.
Claim 16
Dependent Claim
38 words
The fault diagnosis method according to claim 3 , wherein the certain specific absolute value of the vibration waveforms in the cumulative frequency distribution curve is an equivalent effective value: σ eq of 68.3% of the cumulative frequency.
Claim 17
Dependent Claim
38 words
The fault diagnosis apparatus according to claim 6 , wherein the certain specific absolute value of the vibration waveforms in the cumulative frequency distribution curve is an equivalent effective value: σ eq of 68.3% of the cumulative frequency.
Claim 18
Dependent Claim
38 words
The fault diagnosis apparatus according to claim 7 , wherein the certain specific absolute value of the vibration waveforms in the cumulative frequency distribution curve is an equivalent effective value: σ eq of 68.3% of the cumulative frequency.
Claim 19
Dependent Claim
111 words
The fault diagnosis apparatus according to claim 5 , further including: effective value computing means for obtaining an effective value (σ) of the vibration waveforms detected by the vibration detecting means; and effective value ratio computing means for obtaining an effective value ratio (β 2 ) of the certain specific value in the cumulative frequency distribution curve computed by the cumulative frequency computing means to the effective value (σ) computed by the effective value computing means; and said fault diagnosing means diagnoses the degree of fault of the machinery or equipment also from the magnitude of the effective value ratio (β 2 ) computed by the effective value ratio computing means.
Claim 20
Dependent Claim
140 words
The fault diagnosis apparatus according to claim 5 , further including: normalizing means for normalizing the vibration waveforms obtained at a certain specific value in the cumulative frequency distribution curve computed by the cumulative frequency computing means; mean value of the third power and mean value of the fourth power computing means for obtaining a mean value of third power (β 3 ) and a mean value of the fourth power (β 4 ) from data normalized by the normalizing means; and said fault diagnosing means diagnoses the degree of fault of the machinery or equipment also from the magnitude of the mean value of the third power (β 3 ) and the mean value of the fourth power (β 4 ) computed by the mean value of the third power and mean value of the fourth power computing means.
Claim 21
Dependent Claim
141 words
The fault diagnosis apparatus according to claim 13 , further including: normalizing means for normalizing the vibration waveforms obtained at a certain specific value in the cumulative frequency distribution curve computed by the cumulative frequency computing means; mean value of the third vower and mean value of the fourth power computing means for obtaining a mean value of the third power (β 3 ) and a mean value of the fourth power (β 4 ) from data normalized by the normalizing means; and said fault diagnosing means diagnoses the degree of fault of the machinery or equipment also from the magnitude of the mean value of the third power (β 3 ) and the mean value of the fourth power (β 4 ) computed by the mean value of the third power and mean value of the fourth power computing means.
Claim 22
Dependent Claim
111 words
The fault diagnosis apparatus according to claim 7 , further including: effective value computing means for obtaining an effective value (σ) of the vibration waveforms detected by the vibration detecting means; and effective value ratio computing means for obtaining an effective value ratio (β 2 ) of the certain specific value in the cumulative frequency distribution curve computed by the cumulative frequency computing means to the effective value (σ) computed by the effective value computing means; and said fault diagnosing means diagnoses the degree of fault of the machinery or equipment also from the magnitude of the effective value ratio (β 2 ) computed by the effective value ratio computing means.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2006-09-29 | 2007-03-31 | 2007-09-30 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2010-09-29 | 2011-03-31 | 2011-09-30 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2014-09-29 | 2015-03-31 | 2015-09-30 | $7700.00 | Window Closed / Lapsed |