Fault detection and recognition of multivariate process based on feature learning of one-dimensional convolutional neural network and stacked denoised autoencoder
Year of publication: |
2021
|
---|---|
Authors: | Zhang, Chengyi ; Yu, Jianbo ; Wang, Shijin |
Subject: | convolutional neural network | deep learning | fault diagnosis | feature learning | multivariate process | stacked denoising auto-encoders | Neuronale Netze | Neural networks | Lernprozess | Learning process | Theorie | Theory | Lernen | Learning |
-
Road-type classification through deep learning networks fine-tuning
Saleh, Yaser, (2020)
-
A deep learning model framework for diabetic retinopathy detection
Padmapriya, M., (2022)
-
A deep learning approach for assessing stress levels in patients using electroencephalogram signals
Bhatnagar, Shaleen, (2023)
- More ...
-
An effective heuristic for flexible job-shop scheduling problem with maintenance activities
Wang, Shijin, (2010)
-
Yu, Jianbo, (2023)
-
The interval min-max regret knapsack packing-delivery problem
Wang, Shijin, (2021)
- More ...