Performance Analysis on Fault Tolerant Control System [PDF]
In a fault tolerant control (FTC) system, a parameter varying FTC law is reconfigured based on fault parameters estimated by fault detection and isolation (FDI) modules.
Belcastro, Christine, Shin, Jong-Yeob
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Geological and hydrogeological investigation in West Malaysia [PDF]
The author has identified the following significant results. The broad synoptic view of the images allowed easy identification of circular features and major fault traces in low lying areas.
Ahmad, J. B.
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Fault identification using multidisciplinary techniques at the Mars/Uranus Station antenna sites [PDF]
A fault investigation was performed at the Mars and Uranus antenna sites at the Goldstone Deep Space Communications Complex in the Mojave desert. The Mars/Uranus Station consists of two large-diameter reflector antennas used for communication and control
Santo, D. S. +2 more
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Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural Network. [PDF]
Prosvirin AE, Piltan F, Kim JM.
europepmc +1 more source
A fusion sparse learning algorithm for fault identification of rolling bearings. [PDF]
Liu Y, Liu J, Ma Y, Wang S, Zhang Q.
europepmc +1 more source
A Fault Identification Method for Micro-Motors Using an Optimized CNN-Based JMD-GRM Approach. [PDF]
Bai Y, Gu Z, Yu J, Chen J.
europepmc +1 more source
Improved one-dimensional residual network high-voltage DC diagnosis for high-precision fault identification. [PDF]
Li R, Zhang X, Hao W, Wang T.
europepmc +1 more source
Fault Identification Model Using Convolutional Neural Networks with Transformer Architecture. [PDF]
Fan Y, Dang Y, Guo Y.
europepmc +1 more source
A High-Impedance Grounding Fault Identification Method for Mining Cables in Non-Effectively Grounded Systems of Coal Mine Power Grids Based on Steady-State Impedance Analysis-Holmes-Duffing. [PDF]
Feng C, Ni L, Lan Y, Zheng H, Zeng X.
europepmc +1 more source
The intelligent fault identification method based on multi-source information fusion and deep learning. [PDF]
Guo D, Yang X, Peng P, Zhu L, He H.
europepmc +1 more source

