Improved probabilistic neural networks with self-adaptive strategies for transformer fault diagnosis problem
JH Yi, J Wang, GG Wang - Advances in Mechanical …, 2016 - journals.sagepub.com
Probabilistic neural network has successfully solved all kinds of engineering problems in
various fields since it is proposed. In probabilistic neural network, Spread has great …
various fields since it is proposed. In probabilistic neural network, Spread has great …
An effective multivariate control chart for detecting small mean shifts using support vector data description
B Xia, Z Jian, L Liu, L Li - Advances in Mechanical …, 2018 - journals.sagepub.com
Conventional multivariate cumulative sum control charts are more sensitive to small shifts
than T 2 control charts, but they cannot get the knowledge of manufacturing process through …
than T 2 control charts, but they cannot get the knowledge of manufacturing process through …
Condensation Dripping Water Detection and Its Control Method from Exhaust Pipe of Gasohol Vehicle under Low Environmental Temperature Conditions: A Case …
G Tian, T Qiang, J Chu, G Qiao - Advances in Mechanical …, 2012 - journals.sagepub.com
Gasohol is one of renewable clean alternative energies, which is widely used around the
world. Gasohol had been raised to be used in 9 provinces of China since 2001. However, its …
world. Gasohol had been raised to be used in 9 provinces of China since 2001. However, its …
[PDF][PDF] Research on Control Method for Time Delay of Internet-Based Tele-Operation Manipulators
W Gao, M Zhou, Z Wang - International Journal of Future Generation …, 2013 - Citeseer
In this paper, a parameters self-learning PID controller algorithm based on modified BP
neural network is proposed to eliminate the influence of time delay on the stability and …
neural network is proposed to eliminate the influence of time delay on the stability and …