Neural network-based grinding machining working condition detection method
A neural network and grinding technology, applied in the field of mechanical processing, can solve the problems of workpiece burn, processing efficiency and quality impact, workpiece and tool damage, etc., to avoid unnecessary damage, improve processing efficiency, and reduce dependence. Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Example Embodiment
[0038] The present invention will be further explained below in conjunction with the drawings.
[0039] Such as figure 1 , 2 As shown in and 3, the mechanical grinding condition detection system based on neural network of the present invention includes a sensor information acquisition module, a neural network learning module and a neural network operation output module.
[0040] The sensor information collection module is an acoustic emission sensor, which mainly collects various acoustic emission signals during processing according to a preset sampling frequency.
[0041] The neural network learning module is used to determine the weight threshold parameter of the neural network and pass it to the neural network operation output module for use. In the learning and training stage, the sample library is formed by collecting the acoustic emission signal when the tool is in contact with the processed workpiece, the acoustic emission signal when the tool (grinding wheel) is passivated, ...
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.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap