ROTATING MACHINE ABNORMALITY DETECTION DEVICE AND METHOD AND ROTATING MACHINE

• US 20170219420A1
• Filed: 08/18/2015
• Published: 08/03/2017
• Est. Priority Date: 09/12/2014
• Status: Active Grant

• Current Assignee: Klaus Schmidt
• Original Assignee: Klaus Schmidt
• Inventors: TAKAKI, Shugo, MATSUMOTO, Yasuharu, TAKAHASHI, Eiji, ARAKI, Kaname
• Granted Patent: US 10,247,599 B2
• Time in Patent Office: Days
• CPC Class Codes: G01H 1/003 of rotating machines G01H1/10 takes precedence
• CPC Class Codes: G01H 17/00 Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups see provisionally also G01H1/00
• CPC Class Codes: G01M 7/025 Measuring arrangements
• CPC Class Codes: G01M 99/00 Subject matter not provided for in other groups of this subclass

Abstract

A rotating machine abnormality detection device and a rotating machine abnormality detection method according to the present invention are designed to detect an abnormality in a rotating machine including a rotary member rotatable about a predetermined axis, and detect an initial abnormality in the rotating machine based on first measurement data obtained by measuring a vibration in an ultrasonic wave band caused by the rotary member. A rotating machine according to the present invention includes the rotating machine abnormality detection device.

Claims

1. A rotating machine abnormality detection device for detecting an abnormality in a rotating machine including a rotary member rotatable about a predetermined axis, comprising:

an ultrasonic wave measuring section for measuring a vibration in an ultrasonic wave band caused by the rotary member; and

an abnormality detecting section for detecting an initial abnormality in the rotating machine based on first measurement data obtained by the ultrasonic wave measuring section.

2. A rotating machine abnormality detection device according to claim 1, wherein

the abnormality detecting section calculates a first frequency spectrum of the first measurement data obtained by the ultrasonic wave measuring section, and calculates a specific first feature amount in the first frequency spectrum of the first measurement data to detect an initial abnormality in the rotating machine based on the first feature amount.

3. A rotating machine abnormality detection device according to claim 2, wherein:

the first feature amount is an integrated value within a predetermined frequency range of the first frequency spectrum of the first measurement data; and

the abnormality detecting section compares the calculated integrated value with a predetermined threshold value, and determines that there is an initial abnormality in the rotating machine when the integrated value is equal to or greater than the threshold value.

4. A rotating machine abnormality detection device according to claim 1, further comprising

a vibration measuring section for measuring a vibration in an audible band caused by the rotary member, wherein

the abnormality detecting section determines, after detecting an initial abnormality, at least one of an abnormality type and an abnormality degree based on second measurement data obtained by the vibration measuring section.

5. A rotating machine abnormality detection device according to claim 4, wherein

the abnormality detecting section determines at least one of an abnormality type and an abnormality degree based on second measurement data obtained by the vibration measuring section before the detection of an initial abnormality and second measurement data obtained by the vibration measuring section after the detection of the initial abnormality.

6. A rotating machine abnormality detection device according to claim 5, wherein

the abnormality detecting section calculates a specific second feature amount in the second measurement data obtained by the vibration measuring section before the detection of an initial abnormality and a third feature amount in the second measurement data that is of the same type as the second feature amount and obtained by the vibration measuring section after the detection of the initial abnormality, to determine at least one of an abnormality type and an abnormality degree based on the second and third feature amounts.

7. A rotating machine abnormality detection device according to claim 6, wherein:

the second feature amount is for a second frequency spectrum of the second measurement data obtained by the vibration measuring section before the detection of an initial abnormality;

the third feature amount is for a third frequency spectrum of the second measurement data obtained by the vibration measuring section after the detection of the initial abnormality; and

the abnormality detecting section compares the second frequency spectrum of the second measurement data with the third frequency spectrum of the second measurement data to determine at least one of an abnormality type and an abnormality degree based on a comparison result.

8. A rotating machine abnormality detection device according to claim 4, wherein:

the rotary member includes a pair of sub rotary members engageable with each other, and a casing housing the pair of sub rotary members; and

abnormality types include a first abnormality in which the sub rotary members come into contact with each other, and a second abnormality in which at least one of the sub rotary members comes into contact with the casing.

9. A rotating machine, comprising a rotating machine abnormality detection device according to claim 1.

10. A rotating machine abnormality detection method for detecting an abnormality in a rotating machine including a rotary member rotatable about a predetermined axis, comprising:

an ultrasonic wave measuring step of measuring a vibration in an ultrasonic wave band caused by the rotary member; and

an abnormality detecting step of detecting an initial abnormality in the rotating machine based on first measurement data obtained in the ultrasonic wave measuring step.