Rail vehicle door sub-health state recognition method based on time series data mining
A rail vehicle and time series technology, applied in the direction of railway vehicle testing, etc., can solve the problems of large DC voltage ripple, high order requirements of RC low-pass filter, etc., and achieve the effect of good application prospects.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0042] The present invention will be further described below in conjunction with the accompanying drawings.
[0043] The sub-health state identification method of the rail vehicle door based on time series data mining of the present invention uses a multi-scale sliding window discrete characterization algorithm to perform data mining on the speed, torque and current of the rail vehicle door motor; through calculation and normal state The distance of the template curve is used as a feature, and principal component analysis is used to reduce its dimensionality, remove redundant information, and obtain low-dimensional features with better classification performance; then use a hierarchical sub-health status recognition model to classify various sub-health status The data is identified layer by layer, and finally the identification of the sub-health state in the process of opening and closing the door can be effectively extracted. figure 1 shown, including the following steps,
...
PUM
Abstract
Description
Claims
Application Information
- 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, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com