Rotating machine abnormality diagnosis device, rotating machine abnormality diagnosis method, and rotating machine

US2017205276A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2017205276-A1
Application numberUS-201515327831-A
CountryUS
Kind codeA1
Filing dateAug 18, 2015
Priority dateSep 12, 2014
Publication dateJul 20, 2017
Grant date

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  5. First independent claim

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Abstract

Official abstract text for this publication.

A rotating machine abnormality diagnosing apparatus for diagnosing an abnormality in a rotating machine includes: an analyzing part which performs a time-frequency analysis to a signal S representing intensity and time relationship of an elastic wave generating in the rotating machine; an extracting part which extracts second data representing intensity and time relationship of a predetermined frequency component from first data obtained by the time-frequency analysis; and a determining part which determines that a first rotor and a second rotor are in contact with each other when the second data contains intensity variation having a cycle represented by T 1× b=T 2× a, in which a rotational cycle of the first rotor is denoted by T 1 , a rotational cycle of the second rotor is denoted by T 2 , and a ratio of a number of protrusions to a number of recesses is denoted by a:b.

First claim

Opening claim text (preview).

1 . A rotating machine abnormality diagnosing apparatus for diagnosing an abnormality inside a rotating machine which includes a first rotor having a plurality of protrusions, and a second rotor having a plurality of recesses whose number is different from that of the protrusions and arranged against the first rotor at a predetermined gap so that corresponding protrusion and recess among the plurality of protrusions and recesses meet one another sequentially in accordance with rotation of the first rotor and the second rotor, the rotating machine abnormality diagnosing apparatus, comprising: a sensor which detects an elastic wave generating in the rotating machine, and outputs a signal representing intensity and time relationship of the elastic wave; an analyzing part which performs a time-frequency analysis to the signal output from the sensor; an extracting part which extracts second data representing intensity and time relationship of a predetermined frequency component from first data obtained by the time-frequency analysis of the analyzing part; and a determining part which determines that the first rotor and the second rotor are in contact with each other when the second data contains intensity variation having a cycle represented by T 1 ×b=T 2 ×a, in which a rotational cycle of the first rotor is denoted by T 1 , a rotational cycle of the second rotor is denoted by T 2 , and a ratio of the number of the protrusions and the number of the recesses is denoted by a:b. 2 . A rotating machine abnormality diagnosing apparatus according to claim 1 , wherein the rotating machine further includes a casing for accommodating the first rotor and the second rotor, and the determining part determines that the first rotor and the casing are in contact with each other when the second data contains intensity variation having a cycle represented by T 1 , and determines that the second rotor and the casing are in contact with each other when the second data contains intensity variation having a cycle represented by T 2 . 3 . A rotating machine abnormality diagnosing apparatus according to claim 2 , wherein the determining part determines whether or not the first rotor and the second rotor are in contact with each other, after determining whether or not the first rotor and the casing are in contact with each other, and whether or not the second rotor and the casing are in contact with each other. 4 . A rotating machine abnormality diagnosing method for diagnosing an abnormality inside a rotating machine which includes a first rotor having a plurality of protrusions, and a second rotor having a plurality of recesses whose number is different from that of the protrusions and arranged against the first rotor at a predetermined gap so that corresponding protrusion and recess among the plurality of protrusions and recesses meet one another sequentially in accordance with rotation of the first rotor and the second rotor, the rotating machine abnormality diagnosing method, comprising: a detecting step of detecting an elastic wave generating in the rotating machine, and outputting a signal representing intensity and time relationship of the elastic wave; an analyzing step of performing a time-frequency analysis to the signal output in the detecting step; an extracting step of extracting second data representing intensity and time relationship of a predetermined frequency component from first data obtained by the time-frequency analysis in the analyzing step; and a determining step of determining that the first rotor and the second rotor are in contact with each other when the second data contains intensity variation having a cycle represented by T 1 ×b=T 2 ×a, in which a rotational cycle of the first rotor is denoted by T 1 , a rotational cycle of the second rotor is denoted by T 2 , and a ratio of the number of the protrusions and the recesses is denoted by a:b. 5 . A rotating machine including the rotating machine abnormality diagnosing apparatus according to claim 1 .

Assignees

Inventors

Classifications

  • G01H17/00Primary

    Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the other groups of this subclass · CPC title

  • Testing of machine parts · CPC title

  • G01M13/028Primary

    Acoustic or vibration analysis · CPC title

  • Subject matter not provided for in other groups of this subclass · CPC title

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What does patent US2017205276A1 cover?
A rotating machine abnormality diagnosing apparatus for diagnosing an abnormality in a rotating machine includes: an analyzing part which performs a time-frequency analysis to a signal S representing intensity and time relationship of an elastic wave generating in the rotating machine; an extracting part which extracts second data representing intensity and time relationship of a predetermined …
Who is the assignee on this patent?
Kobe Steel Ltd
What technology area does this patent fall under?
Primary CPC classification G01H17/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jul 20 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).