Neural network based intelligent sensor fault detection in a three tanks interacting level process

2016 ◽  
Author(s):  
S. Nagarajan ◽  
S. Kayalvizhi ◽  
B. Karthikeyan
Keyword(s):  
Neural Network ◽  
Fault Detection ◽  
Sensor Fault ◽  
Intelligent Sensor ◽  
Sensor Fault Detection ◽  
Level Process

Sensor Fault Detection and Validation For Chemical Process Using A Neural Network Model

1997 ◽  
Vol 30 (11) ◽  
pp. 561-566 ◽  
Author(s):  
Koji Morinaga ◽  
Michael E. Sugars ◽  
Koji Muteki ◽  
Haruo Takada
Keyword(s):  
Neural Network ◽  
Fault Detection ◽  
Network Model ◽  
Neural Network Model ◽  
Chemical Process ◽  
Sensor Fault ◽  
Sensor Fault Detection

A Neural Network Ensemble-Based Approach to Sensor Fault Detection

2011 ◽  
Vol 467-469 ◽  
pp. 923-927
Author(s):  
Ai She Shui ◽  
Wei Min Chen ◽  
Li Chuan Liu ◽  
Yong Hong Shui
Keyword(s):  
Neural Network ◽  
Fault Detection ◽  
Rbf Neural Network ◽  
Sensor Faults ◽  
Neural Network Ensemble ◽  
Sensor Fault ◽  
Detection Approach ◽  
Tank System ◽  
Sensor Fault Detection ◽  
Feedback Control Systems

This paper focuses on the problem of detecting sensor faults in feedback control systems with multistage RBF neural network ensemble-based estimators. The sensor fault detection framework is introduced. The modeling process of the estimator is presented. Fault detection is accomplished by evaluating residuals, which are the differences between the actual values of sensor outputs and the estimated values. The particular feature of the fault detection approach is using the data sequences of multi-sensor readings and controller outputs to establish the bank of estimators and fault-sensitive detectors. A detectability study has also been done with the additive type of sensor faults. The effectiveness of the proposed approach is demonstrated by means of three tank system experiment results.

Intelligent Sensor Fault Detection of Vibration Control for Flexible Structures

1999 ◽  
Vol 11 (6) ◽  
pp. 524-530 ◽  
Author(s):  
Masahiro Isogai ◽  
◽  
Fumihito Arai ◽  
Toshio Fukuda ◽  
◽  
...  
Keyword(s):  
Fault Detection ◽  
Vibration Control ◽  
Inverse Dynamics ◽  
Fault Tolerant ◽  
Flexible Structures ◽  
Space Structures ◽  
Sensor Fault ◽  
Intelligent Sensor ◽  
Proposed Model ◽  
Sensor Fault Detection

Vibration control for flexible structures such as arms and space structures has been widely studied. We proposed model-based decentralized control for flexible structures by decoupling mode quantities of other links. If a failure occurs, control performance drops due to parameter error between the model and plant. We must consider device fault detection and controller reconfiguration. We propose a fault-tolerant system using inverse dynamics constructed by neural network for sensor fault detection and NN adaptive control for the actuator fault to reconfigure control to compensate for parameter changes due to actuator faults. The effectiveness of our proposal is shown through simulation.

Cascade-Correlation Neural Network for Sensor Fault Detection and Data Recovery with On-line Learning

2011 ◽  
Vol 9 (5) ◽  
pp. 2034-2037 ◽  
Author(s):  
Weiguo Zhao ◽  
Liying Wang ◽  
Chengjun Hu ◽  
Jianmin Hou
Keyword(s):  
Neural Network ◽  
Fault Detection ◽  
Data Recovery ◽  
Sensor Fault ◽  
Cascade Correlation ◽  
Sensor Fault Detection ◽  
On Line ◽  
On Line Learning
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