Shaft system fault identification method based on wavelet threshold de-noising and AdaBoost
A fault identification, wavelet threshold technology, applied in the field of fault identification, can solve problems such as unsatisfactory, inconsistent results, excessive dryness, etc.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0023] The technical solutions adopted by the present invention will be further described below in conjunction with the accompanying drawings.
[0024] Such as figure 1 As shown in the flow chart of shafting fault identification, the shafting fault identification method based on wavelet threshold noise reduction and AdaBoost includes five steps from S1 to S5.
[0025] S1: Use the acceleration sensor installed on the motor bearing support frame at the industrial site, such as figure 2 Schematic diagram, obtain horizontal, vertical and axial vibration acceleration data respectively, integrate the vibration acceleration data once to obtain vibration velocity data, and take the vibration velocity data in three directions as the shafting vibration representation.
[0026] S2: Use dual-tree complex wavelet 4-layer decomposition for vibration signals in three directions respectively, and the reconstruction of dual-tree complex wavelet decomposition is as follows image 3 As shown,...
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