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Abnormality diagnosis device and abnormality diagnosis method

A technology for abnormality diagnosis and abnormality, which can be used in the testing of measuring devices, engine functions, machine/structural components, etc., and can solve problems such as vacuum deterioration, stoppage, and semiconductor device damage.

Active Publication Date: 2021-08-06
MITSUBISHI ELECTRIC CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the vacuum pump fails, problems such as damage to semiconductor devices due to deterioration of the vacuum degree and stoppage of the production line due to parts replacement occur.

Method used

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  • Abnormality diagnosis device and abnormality diagnosis method
  • Abnormality diagnosis device and abnormality diagnosis method
  • Abnormality diagnosis device and abnormality diagnosis method

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Experimental program
Comparison scheme
Effect test

Embodiment approach 1

[0030] figure 1 It is a functional block diagram of the abnormality diagnosis device according to Embodiment 1 of the present invention. Abnormality diagnosis device 40 according to Embodiment 1 is connected to sensor 30 connected to motor 10 and load 20 . Here, the load 20 corresponds to a component that consumes the energy output from the motor 10, for example, using image 3 On the other hand, a CVD (Chemical Vapor Deposition) chamber described later corresponds to the load 20 .

[0031] The sensor 30 detects a physical quantity that changes according to the state of occurrence of an abnormality in the motor 10 and the load 20 as a measured value. Specific examples of the physical quantities include the current flowing through the motor 10 , the temperature of the motor 10 , and the vibration of the motor 10 .

[0032] The abnormality diagnosis device 40 according to Embodiment 1 is configured to include a physical quantity measurement unit 41 , a characteristic paramete...

Embodiment approach 2

[0105] In Embodiment 1 above, a case was described in which an abnormality diagnosis is performed using an electric current as a physical quantity. On the other hand, in the second embodiment, a case will be described in which an abnormality diagnosis is performed using a time differential value corresponding to a change amount of electric current per unit time as a physical quantity. As a specific example, a case will be described in which abnormality diagnosis based on current measurement is performed on the MOCVD apparatus in the same manner as in the previous first embodiment.

[0106] In Embodiment 2, the time differentiation of the current is performed with respect to the effective value of the current. As in Embodiment 1, as the current effective value I_effective 1 ~I_effective n , the n effective current values ​​I_effective are calculated by the characteristic parameter calculation unit 42 . Regarding the calculated current effective value I_effective, the time di...

Embodiment approach 3

[0113] In Embodiments 1 and 2 above, the case where an abnormality diagnosis is performed using an electric current as a physical quantity has been described in detail. In Embodiment 3, abnormality diagnosis using a plurality of physical quantities will be described. Similar to Embodiments 1 and 2, a case where abnormality diagnosis of a vacuum pump is performed will be described.

[0114] When an abnormality occurs in a vacuum pump, physical quantities other than electric current also change. For example, an increase in deposits on the bearing changes the average value and variance of the current, but the average value and variance related to the vibration of the motor 10 also increase because the deposits impede the rotation of the bearing.

[0115] In addition, due to the increase of deposits, the air flow during the vacuuming process changes, so the variance value of the temperature related to the motor 10 increases, and the vibration of the motor 10 also increases. Furt...

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Abstract

An abnormality diagnosis device is provided with: a physical quantity measurement unit that acquires, as time-series data, a physical quantity of an electric motor or a load; a feature parameter calculation unit that calculates a feature parameter; a correlation function creation unit that creates a correlation function for two or more feature parameters, and calculates a correlation coefficient corresponding to the measurement results of the physical quantity, which changes in accordance with the occurrence of an abnormality; a database unit for storing, in advance, reference data in which a correlation coefficient is associated with a remaining time to failure; and a diagnostic unit that extracts, from the reference data, a remaining time corresponding to the correlation coefficient calculated by the correlation function creation unit, and that identifies the remaining time until the electric motor or the load fails, or identifies the part that has led to the failure.

Description

technical field [0001] The present invention relates to an abnormality diagnosis device and an abnormality diagnosis method for performing an abnormality diagnosis that specifies the remaining time until a failure occurs in a motor and a load. Background technique [0002] In order to operate the production line efficiently, it is important to minimize the number of replacements of parts related to motors and loads. [0003] For example, failure of a vacuum pump is cited as one cause of production stagnation in a production line of semiconductor devices. When the vacuum pump fails, problems such as breakage of the semiconductor device due to deterioration of the vacuum degree and stoppage of the production line due to parts replacement arise. [0004] As a prior art for avoiding such problems, there is a compressor inspection device capable of determining the presence or absence of an abnormality and the cause of the abnormality by using pulsation information such as vibrat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F04B51/00G01M99/00
CPCF04D19/04F04B51/00F04D27/001F05D2260/80F05D2270/708F04D27/0292H02P29/40H02P29/028
Inventor 井上启金丸诚堀淳二武轮知明笹井拓真
Owner MITSUBISHI ELECTRIC CORP