A Martingale Posterior-Based Fault Detection and Estimation Method for Electrical Systems of Industry

The improvement of information sciences promotes the utilization of data for process monitoring. As the core of modern automation, time-stamped signals are used to estimate the system state and construct the data-driven model. Many recent studies claimed that the effectiveness of data-driven methods...

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Principais autores:	Chao Cheng, Weijun Wang, He Di, Xuedong Li, Haotong Lv, Zhiwei Wan
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-10-01
Series:	Mathematics
Assuntos:	fault detection fault estimation subspace identification electrical systems Kalman filter
Acceso en liña:	https://www.mdpi.com/2227-7390/12/20/3200
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