Data anomaly detection method and device based on similar slow feature transformation vector
A data anomaly and detection method technology, applied in error detection/correction, electrical digital data processing, instruments, etc., can solve the problem of whether the data cannot be effectively detected abnormally
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0037] A data anomaly detection method and device based on similar slow feature transformation vectors provided by the present invention will be explained and described in detail below in conjunction with the accompanying drawings.
[0038] like figure 1 shown, and can be combined with figure 2 One or more embodiments of the present invention can provide a data anomaly detection method based on similar slow feature transformation vectors. The data anomaly detection method includes but is not limited to one or more of the following steps, which are specifically described as follows.
[0039] First, the current real-time data of the system is obtained, and the real-time data to be detected is standardized to obtain standardized data. The real-time data in the embodiment of the present invention may be time-series input signal data.
[0040] In this embodiment, the real-time data, for example, through the data set x test Indicates that the data normalization process includes c...
PUM
![No PUM](https://static-eureka.patsnap.com/ssr/23.2.0/_nuxt/noPUMSmall.5c5f49c7.png)
Abstract
Description
Claims
Application Information
![application no application](https://static-eureka.patsnap.com/ssr/23.2.0/_nuxt/application.06fe782c.png)
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap