Power electronic circuit fault diagnosis method based on longicorn beard optimization deep belief network algorithm
A technology of power electronic circuit and deep confidence network, which is applied in the field of fault diagnosis of power electronic circuit based on the optimization of deep confidence network algorithm of beetle, can solve the problems of no actual physical meaning, loss of effective fault information, etc., so as to improve the classification accuracy. rate, and the effect of increasing the amount of feature data
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Example Embodiment
[0030] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.
[0031] The invention adopts the deep learning algorithm of DBN. For the DBN algorithm model, its performance is easily affected by the number of hidden layers and the number of units, so this patent uses the BAS algorithm to optimize the DBN to determine the best number of hidden layer units.
[0032] The method for diagnosing power electronic circuit faults based on the deep belief network algorithm of longhorn beetle optimization in the embodiment of the present invention, such as figure 1 As shown, the method mainly includes the following steps:
[0033] S1. Collect the output current signals o...
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