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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.
Appears in Collections:Center for Research & Documentation

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