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2022 | OriginalPaper | Chapter

Model-Based Fault Diagnosis of Synchronous Generator Using Dual Extended Kalman Filter and Empirical Mode Decomposition

Authors : B. Diwakar, Thota Venkata Sai Siddhartha, B. Manoj Kumar Reddy, Chitturi Jagadeesh, P. V. Sunilnag, C. Santhosh Kumar

Published in: Control Applications in Modern Power Systems

Publisher: Springer Nature Singapore

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Abstract

Model-based approach along with few signal processing techniques like EMD is used for diagnosing synchronous generators. Maintenance is essential for machines, and many industries started to rely more on condition-based and preventive maintenance rather than scheduled and risk-based as it reduces cost and also ensures safety. To reduce the complexity and cost, experimental test rig requirement can be eliminated using Maxwell software. DEKF is used as it has two cascaded EK filters; it can estimate both state and parameters. Residual and IMF3 together will work as a reliable fault signature which helps in differentiating the stator inter-turn fault and a pseudo stator fault.

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Title: Model-Based Fault Diagnosis of Synchronous Generator Using Dual Extended Kalman Filter and Empirical Mode Decomposition
Authors: B. Diwakar
Thota Venkata Sai Siddhartha
B. Manoj Kumar Reddy
Chitturi Jagadeesh
P. V. Sunilnag
C. Santhosh Kumar
Publisher: Springer Nature Singapore
Book: Control Applications in Modern Power Systems
Print ISBN: 978-981-19-0192-8

Electronic ISBN: 978-981-19-0193-5

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-981-19-0193-5_37