High Dimensional Electromagnetic Interference Signal Clustering Based On SOM Neural Network
Journal Title: Elektronika - Year 2016, Vol 20, Issue 1
Abstract
In this paper, we study the spectral characteristics and global representations of strongly nonlinear, non-stationary electromagnetic interferences (EMI), which is of great significance in analysing the mathematical modelling of electromagnetic capability (EMC) for a large scale integrated system. We firstly propose to use Self-Organizing Feature Map Neural Network (SOM) to cluster EMI signals. To tackle with the high dimensionality of EMI signals, we combine the dimension reduction and clustering approaches, and find out the global features of different interference factors, in order to finally provide precise mathematical simulation models for EMC design, analysis, forecasting and evaluation. Experimental results have demonstrated the validity and effectiveness of the proposed method.
Authors and Affiliations
Hongyi Li, Di Zhao, Shaofeng Xu, Pidong Wang, Jiaxin Chen
Keywords
Related Articles
- EP ID EP362520
- DOI 10.7251/ELS1620027L
- Views 77
- Downloads 0
Analytical modelling of the transient response of thermopile-based MEMS sensors
This work presents an analytical model dedicated to study of the transient response of multipurpose MEMS devices based on thermopile sensors. In general, thermopile sensors response depends on ambient temperature, therma...
Research Issues in DFIG Based Wind Energy System
Among different renewable energy sources, Wind energy is the most imperative energy source in power system. The development of grid connected wind energy conversion system expands, its grid connectivity issues has additi...
Challenges and Opportunities in Applying Semantics to Improve Access Control in the Field of Internet of Things
The increased number of IoT devices results in continuously generated massive amounts of raw data. Parts of this data are private and highly sensitive as they reflect owner’s behavior, obligations, habits, and preference...
An improved implementation of hierarchy array multiplier using CslA adder and full swing GDI logic
In this paper, an efficient implementation of a 16 bit array hierarchy multiplier using full swing Gate Diffusion Input (GDI) logic is discussed. Hierarchy multiplier is attractive because of its ability to carry the mul...
Morlet Wavelet UDWT Denoising and EMD based Bearing Fault Diagnosis
Bearing Faults in rotating machinery occur as low energy impulses in their vibration signal and are lost in the noise. This signal has to be properly denoised before analyzing for effective condition monitoring. This pap...