Potential Fault Diagnosis Method and Classification Accuracy Detection of IGBT Device Based on Improved Single Hidden Layer Feedforward Neural Network
Insulated Gate Bipolar Transistor (IGBT) is a high-power switch in the field of power electronics. Its reliability is closely related to system stability. Once failure occurs, it may cause irreparable loss. Therefore, potential fault diagnosis methods of IGBT devices are studied in this paper, and t...
Main Authors: | Jie Wu, Xiaojuan Chen, Zhaohua Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2021/6036118 |
Similar Items
-
The Single-hidden Layer Feedforward Neural Networks with Multiple Output Nodes for Futures Forecast
by: Jheng, Yu-Jie, et al.
Published: (2019) -
Inflation Forecasting in Sweden using Single Hidden Layer Feedforward Artificial Neural Networks
by: Sefastsson, Ulf, et al.
Published: (2017) -
Feedforward Neural Networks with a Hidden Layer Regularization Method
by: Habtamu Zegeye Alemu, et al.
Published: (2018-10-01) -
Modelling and forecasting economic time series with single hidden-layer feedforward autoregressive artificial neural networks
by: Rech, Gianluigi
Published: (2001) -
Impacts of Sample Design for Validation Data on the Accuracy of Feedforward Neural Network Classification
by: Giles M. Foody
Published: (2017-08-01)