ABNORMALITY DETECTION METHOD AND ABNORMALITY DETECTION SYSTEM FOR OPERATING BODY

• US 20100185414A1
• Filed: 08/13/2009
• Published: 07/22/2010
• Est. Priority Date: 01/16/2009
• Status: Abandoned Application

• Current Assignee: Hitachi Cable Limited (Proterial Ltd.)
• Original Assignee: Hitachi Cable Limited (Proterial Ltd.)
• Inventors: Yamamoto, Satoshi
• Application Number:
  US12/540,520
• Publication Number:
  US 20100185414A1
• Time in Patent Office: Days
• US Class Current: 702/183
• CPC Class Codes: B60W 50/0205 Diagnosing or detecting failures; Failure detection models
• CPC Class Codes: B60W 50/04 Monitoring the functioning of the control system
• CPC Class Codes: G05B 23/021 adopting a different treatment of each operating region or a different mode of the monitored system, e.g. transient modes; different operating configurations of monitored system
• CPC Class Codes: G05B 23/0224 Process history based detection method, e.g. whereby history implies the availability of large amounts of data

Abstract

A method of detecting an abnormality in an operating body, according to the present invention, comprises steps of: continuously collecting data about the operating body; detecting events for the operating body; extracting part of the data as target data, the part of the data being collected in a predetermined period delimited by times at which the events are detected; preparing comparison data in advance for abnormality detection; comparing the target data with the comparison data to obtain a comparison result; and detecting an abnormality in the operating body from the comparison result.

Claims

1. A method of detecting an abnormality in an operating body, comprising steps of:

continuously collecting data about the operating body;

detecting events for the operating body;

extracting part of the data as target data, the part of the data being collected in a predetermined period delimited by times at which the events are detected;

preparing comparison data in advance for abnormality detection;

comparing the target data with the comparison data to obtain a comparison result; and

detecting an abnormality in the operating body from the comparison result.

2. The method according to claim 1, wherein:

at least one of an output signal of a physical quantity sensor and a control signal for controlling the operating body is collected as the data.

3. The method according to claim 1, wherein:

a plurality of types of events are detected; and

the period is delimited by times at which two events of the same type are detected.

4. The method according to claim 1, wherein:

the events are detected from the data.

5. The method according to claim 1, further comprising the steps of:

collecting a plurality of types of data;

determining a state of the operating body as a plurality of state types according to at least one type of data; and

detecting an abnormality for each determined state type.

6. The method according to claim 1, further comprising the steps of:

collecting a plurality of types of data;

determining a state of the operating body as a plurality of state types according to at least one type of data;

delimiting a partial period by predetermined state types in the predetermined period delimited by times at which the events are detected; and

extracting part of the data as target data, the part of the data being collected as target data in the predetermined period.

7. The method according to claim 1, further comprising the steps of:

collecting data on an output signal of a physical quantity sensor and data on a control signal for controlling the operating body; and

performing signal processing on the data of the output signal, the signal processing for the output signal being concurrent with collecting the data on the control signal or being delayed by a predetermined time with respect to collecting the data on the control signal.

8. The method according to claim 1, further comprising the steps of:

collecting data on an output signal of a physical quantity sensor and data on a control signal for controlling the operating body;

predicting data on the output signal from the data on the control signal; and

using the predicted data as the comparison data.

9. The method according to claim 1, further comprising the steps of:

processing the target data; and

comparing the target data, which is processed, and the comparison data, which is processed in advance, to detect an abnormality.

10. The method according to claim 1, further comprising the steps of:

detecting, from a component having periodicity in the target data, an abnormality with a correlation with the periodicity; and

detecting, from another component not having periodicity in the above target data, an abnormality without the correlation with the periodicity.

11. The method according to claim 1, further comprising the steps of:

detecting an abnormality in a rotating member from a component, in the target data, that is synchronous with rotation of the rotating member, the rotating member being included in the operating body; and

detecting an abnormality in a non-rotating member from another component, in the target data, that is not synchronous with the rotation of the rotating member, the non-rotating member being included in the operating body.

12. The method according to claim 1, wherein:

the operating body is an automobile.

13. An operating body abnormality detection system comprising:

an operating body;

a data collecting part for continuously collecting data from the operating body;

an event detecting part for detecting events of the operating body;

a target data extracting part for extracting a part of the data, which is continuously collected, as target data, the part of the data being collected in a predetermined period delimited by the events;

a comparison database for storing in advance comparison data used for abnormality detection; and

a comparison and calculation part for comparing the target data with the comparison data to obtain a comparison result and detecting an abnormality in the operating body according to the comparison result.