Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/5843
Title: Fault Tolerant Control of an Industrial Manufacturing Process Using Image Processing
Authors: Jamal, Siam
Ali, Abdo
Ahmed, Abdou
Ashraf, Al-Rimawi
Hakam, Shehadeh
Keywords: Control engineering computing
Fault tolerant control
Process control
Signal processing - Digital techniques
object tracking;object detection
Faulty-sensor signal manufacturing system
Supervisory control systems
Faulty-sensor signal
Wind turbines - Monitoring
Digital cameras
Electronic surveillance
Issue Date: 12-Jun-2018
Publisher: IEEE
Abstract: This paper presents an efficient technique for monitoring and control of wind turbines. Fault tolerant control (FTC) is designed using Parity-Space approach to diagnose the sensor faults in the wind turbine. Based on the fault detection system an FTC scheme is proposed to accommodate and reconfigurable the control signals. The main contribution of this study is to develop a monitoring and control system of wind turbine, which reduces the system components as well as to increase the reliability and safety of wind turbines. The sensors which considered in this study are pitch position, generator speed and rotor speed sensors. Real data of wind measurement and real parameters of wind turbine is used to illustrate the proposed scheme.
URI: http://hdl.handle.net/20.500.11889/5843
Appears in Collections:Center for Research & Documentation

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