Anomaly detecting device, anomaly detection method and program

Patent metadata

Field	Value
Publication number	US-11333580-B2
Application number	US-202117156830-A
Country	US
Kind code	B2
Filing date	Jan 25, 2021
Priority date	Feb 10, 2020
Publication date	May 17, 2022
Grant date	May 17, 2022

Abstract

An anomaly detecting device includes: a singular value decomposition unit configured to perform singular value decomposition of a variance-covariance matrix of a measured value matrix y0 composed of measured values acquired by a plurality of sensors in a time period considered to be normal, to thereby calculate a singular vector U and a singular value matrix S; an anomaly determination unit configured to apply the singular vector U and the singular value matrix S to a measured value matrix yt to be evaluated and which is acquired in an arbitrary time period to determine whether an anomaly is present from a result of application; and an anomalous part identification unit configured to, when the measured value matrix yt is determined to be anomalous, identify an anomalous part based on a diagonal element of a matrix obtained in association with the measured value matrix yt.

First claim

The invention claimed is:

1. An anomaly detecting device configured to detect an anomaly of an object by referring to measured values acquired by a plurality of sensors, the anomaly detecting device comprising:
an anomaly determination unit configured to determine whether the anomaly is present for a measured value matrix y t to be evaluated and which is acquired in an arbitrary time period; and
an anomalous part identification unit configured to, when the measured value matrix y t is determined to be anomalous, identify an anomalous part based on a diagonal element of a matrix X represented by y t =X·y 0 .

2. The anomaly detecting device according to claim 1 , wherein
the anomalous part identification unit is configured to identify one of the plurality sensors in which the anomaly has likely occurred by referring to which diagonal element of the matrix X is at a value far from 1.

3. The anomaly detecting device according to claim 1 , wherein
the anomalous part identification unit is configured to identify the anomalous part by referring to a plurality of the matrices X acquired before determining that the measured value matrix y t is anomalous.

4. An anomaly detecting device configured to detect an anomaly of an object by referring to measured values acquired by a plurality of sensors, the anomaly detecting device comprising:
an anomaly determination unit configured to determine whether the anomaly is present for a measured value matrix y t to be evaluated and which is acquired in an arbitrary time period;
an anomalous part identification unit configured to, when the measured value matrix y t is determined to be anomalous, identify an anomalous part based on a diagonal element of a matrix obtained in association with the measured value matrix y t ; and
a singular value decomposition unit configured to perform singular value decomposition of a variance-covariance matrix of a measured value matrix y 0 composed of the measured values acquired in a time period considered to be normal, to thereby calculate a singular vector U and a singular value matrix S,
wherein:
the anomaly determination unit is configured to apply the singular vector U and the singular value matrix S to the measured value matrix y t to determine whether the anomaly is present from a result of application; and
the anomalous part identification unit is configured to select, based on a predetermined criterion, singular elements from a singular element matrix ρ t obtained by substituting the measured value matrix y t into ρ t =S −0.5 ·U T ·y t (Equation A), and identify the anomalous part based on a diagonal element of a covariance matrix of a measured value matrix (y{circumflex over ( )} t ) obtained by applying, to Equation A, a singular element matrix ρ t{j} composed of the singular elements that have been selected.

5. The anomaly detecting device according to claim 4 , wherein
the anomalous part identification unit is configured to select one of the singular elements included in the singular element matrix ρ t that has a relatively large expected value of the singular element.

6. The anomaly detecting device according to claim 4 , wherein
the anomalous part identification unit is configured to select one of the singular elements included in the singular element matrix ρ t that has a relatively small singular value.

7. The anomaly detecting device according to claim 4 , wherein
the anomalous part identification unit is configured to estimate one of the plurality of sensors in which the anomaly has occurred in accordance with a portion of the diagonal element having a relatively large value in the measured value matrix (y{circumflex over ( )} t ).

8. An anomaly detection method for detecting an anomaly of an object by referring to measured values acquired by a plurality of sensors, the anomaly detection method comprising:
determining whether the anomaly is present for a measured value matrix y t to be evaluated and which is acquired in an arbitrary time period; and
when the measured value matrix y t is determined to be anomalous, identifying an anomalous part based on a diagonal element of a matrix X represented by y t =X·y 0 .

Assignees

• Mitsubishi Heavy Ind Ltd

Inventors

• Sase Ryo
• Hiroe Takaharu

Classifications

• G01M99/005 Primary

  Testing of complete machines, e.g. washing-machines or mobile phones (testing of machine parts G01M13/00; testing of electric apparatus or components G01R31/50) · CPC title

• G01M13/00 Primary

  Testing of machine parts · CPC title

• G07C3/00

  Registering or indicating the condition or the working of machines or other apparatus, other than vehicles · CPC title

• G01M7/025 Primary

  Measuring arrangements · CPC title