Symbolic regression of uncertainty-resilient inferential sensors for fault diagnostics
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.582
Abstract: An algorithm is presented for the design of inferential sensors for fault diagnostics in thermal management systems. The algorithm uses input and output sensed system information to improve the detection and isolation of a fault… read more here.
Keywords: symbolic regression; fault diagnostics; sensors fault; uncertainty ... See more keywords
Hybrid fault diagnostics and prognostics system development for motor bearings health monitoring
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DOI: 10.1080/08982112.2024.2385920
Abstract: Abstract The article focuses on developing a specialized prognostics system for motor bearings to ensure the safety and reliability of motors and generators. Timely maintenance improves both equipment health and economic viability. The primary objective… read more here.
Keywords: system; fault diagnostics; motor bearings; diagnostics prognostics ... See more keywords
Spatial-Temporal Recurrent Graph Neural Networks for Fault Diagnostics in Power Distribution Systems
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DOI: 10.1109/access.2023.3273292
Abstract: Fault diagnostics are extremely important to decide proper actions toward fault isolation and system restoration. The growing integration of inverter-based distributed energy resources imposes strong influences on fault detection using traditional overcurrent relays. This paper… read more here.
Keywords: fault diagnostics; graph neural; recurrent graph; temporal recurrent ... See more keywords