SENSOR FAULT DIAGNOSIS FOR AERO ENGINE BASED ON ONLINE SEQUENTIAL EXTREME LEARNING MACHINE WITH MEMORY PRINCIPLE

Sensor Fault Diagnosis for Aero Engine Based on Online Sequential Extreme Learning Machine with Memory Principle

training day horse supplement The on-board sensor fault detection and isolation (FDI) system is essential to guarantee the reliability and safety of an aero engine.In this paper, a novel online sequential extreme learning machine with memory principle (MOS-ELM) is proposed for detecting, isolating, and reconstructing the fault sensor signal of aero

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Binding of Candida albicans to Human CEACAM1 and CEACAM6 Modulates the Inflammatory Response of Intestinal Epithelial Cells

ABSTRACT Candida albicans colonizes human mucosa, including the gastrointestinal tract, as a commensal.In immunocompromised patients, C.albicans can breach the intestinal epithelial barrier and cause fatal invasive infections.Carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1; CD66a), CEACAM5 (CEA), and CEACAM6 (CD66c) are immunomod

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