Fuzzy neural networks for identification and control of ultrasonic motor drive with LLCC resonant technique

1999 ◽  
Vol 46 (5) ◽  
pp. 999-1011 ◽  
Author(s):  
Faa-Jeng Lin ◽  
Rong-Jong Wai ◽  
Rou-Yong Duan
Keyword(s):  
Neural Networks ◽  
Ultrasonic Motor ◽  
Fuzzy Neural Networks ◽  
Motor Drive ◽  
Fuzzy Neural ◽  
And Control

Modelling and control PEMFC using fuzzy neural networks

2005 ◽  
Vol 6 (10) ◽  
pp. 1084-1089 ◽  
Author(s):  
Sun Tao ◽  
Yan Si-jia ◽  
Cao Guang-yi ◽  
Zhu Xin-jian
Keyword(s):  
Neural Networks ◽  
Fuzzy Neural Networks ◽  
Fuzzy Neural ◽  
And Control

scholarly journals Fault diagnosis of sensors in the control system of a steam turbine

2019 ◽  
Vol 1 (1) ◽  
pp. 29-36
Author(s):  
Mariusz Pawlak ◽  
Janusz Buchta ◽  
Andrzej Oziemski
Keyword(s):  
Neural Networks ◽  
Control System ◽  
Fault Diagnosis ◽  
Steam Turbine ◽  
Control Systems ◽  
Measurement Data ◽  
Fuzzy Neural Networks ◽  
Sensor Faults ◽  
Fuzzy Neural ◽  
And Control

A diagnostic and control system for a turbine is presented. The influence of the turbine controller on regulation processes in the power system is described. Measured quantities have been characterized and methods for detecting errors have been determined. The paper presents the application of fuzzy neural networks (fuzzy-NNs) for diagnosing sensor faults in the control systems of a steam turbine. The structure of the fuzzy-NN model and the model’s method of learning, based on measurement data, are presented. Fuzzy-NNs are used to detect faults procedures. The fuzzy-NN models are created and verified.

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