Abstract
In this paper, we will tackle the problem of current sensor Fault Diagnosis and Isolation (FDI) of a doubly feed induction generator in wind turbine. First of all, the use of a Kalman filter to detect sensor fault will be illustrated. Then, the detection and the isolation of multiple sensor faults will be treated using a Kalman filter bank in a Generalized Observer Scheme. The fault assessment will be performed by the Page-Hinkley's test. The processus of the FDI will be validated on a real-time test bench.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
