A Pattern Recognition Method of Control Chart Based on Dynamic Observation Window

A pattern recognition and control chart technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as slow running speed of algorithms, limitations, and sensitive data volume for single processing, and achieve simple calculation methods and large data volumes Small size, intuitive recognition results

Active Publication Date: 2022-03-25
BEIHANG UNIV
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Problems solved by technology

The current state monitoring and fault diagnosis technology is mainly based on signal processing and data mining algorithms to monitor the state. Although this method has high recognition accuracy, it is very sensitive to changes in external working conditions. Once the working conditions change, the The recognition accuracy of the established pattern will be reduced or even unusable, and the generalization ability is poor, which limits the application in engineering practice
[0003] In addition, with the rapid development of advanced sensors, people will arrange many sensors in the state monitoring process, and a large amount of dynamic data will be collected through the sensors. The calculation speed based on signal processing and data mining algorithms is more sensitive to the amount of data processed at a time. , when the sampling rate is high and the amount of data is large, the running speed of the algorithm will be relatively slow, and when only a small amount of data or a low sampling frequency is used for monitoring, the accuracy of the algorithm may decrease

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  • A Pattern Recognition Method of Control Chart Based on Dynamic Observation Window
  • A Pattern Recognition Method of Control Chart Based on Dynamic Observation Window
  • A Pattern Recognition Method of Control Chart Based on Dynamic Observation Window

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Embodiment Construction

[0037] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings. Certain terms are used herein for convenience only and are not to be regarded as limitations of the invention. For example, terms such as "upper," "lower," "left," "right," "horizontal," "vertical," "upward," and "downward" merely describe the configurations shown in the drawings. In fact, components may be oriented in any orientation, and thus the term should be understood to include all such variations unless otherwise indicated. In this specification, the word "comprising" should be understood as its "open" meaning, ie, "having", and therefore should not be limited to the "closed" meaning, ie, "only including". Corresponding meanings also apply to the corresponding words "comprising", "including" and the like. Although expressions such as "1st", "2nd", "first" and "second" may be used to describe the respective elements of the present invention, they...

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Abstract

The application discloses a control chart pattern recognition method based on a dynamic observation window. This method takes the abnormal identification of high-frequency dynamic data as the goal, and according to the characteristics of high-frequency dynamic data, constructs a control chart pattern recognition model that can identify data patterns under any size of data observation window, and finds the pattern recognition model according to the monitored abnormal state. The observation window related to the abnormal state realizes the monitoring of the abnormal state. It is suitable for fields such as condition monitoring, fault diagnosis and process quality control.

Description

technical field [0001] The invention relates to a control diagram pattern recognition method, and more particularly relates to a control diagram pattern recognition method based on a dynamic recognition window. Background technique [0002] Fault diagnosis is a technology to understand and master the working state of the equipment during use, determine whether the whole or part of it is normal, issue the cause of the faulty machine, and predict the development trend of the fault. By monitoring and analyzing the characteristic signals during the operation , to realize the identification and diagnosis of faults. The current state monitoring and fault diagnosis technology is mainly based on signal processing and data mining algorithms to monitor the state. Although this method has high recognition accuracy, it is very sensitive to changes in external working conditions. Once the working conditions change, the The recognition accuracy of the established pattern will be reduced ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/774G06V10/764G06K9/62
CPCG06F18/24G06F18/214
Inventor 戴伟卢志远徐东
Owner BEIHANG UNIV
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