Fault Diagnosis of Bearings Based on Time-Delayed Correlation and Demodulation as Well as B-Spline Fuzzy Neural Networks

2010 ◽  
pp. 757-763
Author(s):  
Pan Fu ◽  
Li Jiang ◽  
A. D. Hope ◽  
Weiling Li
Keyword(s):  
Neural Networks ◽  
Fault Diagnosis ◽  
Fuzzy Neural Networks ◽  
B Spline ◽  
Fuzzy Neural

scholarly journals Fault Diagnosis System for Rotary Machine Based on Fuzzy Neural Networks

2003 ◽  
Vol 46 (3) ◽  
pp. 1035-1041 ◽  
Author(s):  
Sheng ZHANG ◽  
Toshiyuki ASAKURA ◽  
Xiaoli XU ◽  
Baojie XU
Keyword(s):  
Neural Networks ◽  
Fault Diagnosis ◽  
Fuzzy Neural Networks ◽  
Diagnosis System ◽  
Rotary Machine ◽  
Fuzzy Neural ◽  
Fault Diagnosis System

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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