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A Multi-Working States Sensor Anomaly Detection Method Using Deep Learning Algorithms. [PDF]

Sensors (Basel)
Wu D, Koskinen K, Coatanea E.
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Event-triggered self-regulating integrated PID extreme optimization and fault-tolerant strategy for floating offshore platforms driven by TBG-EDF dual finite-time learning mechanism. [PDF]

PLoS One
Chao C, Liu Y, Wang Z.
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Spectral-Based Fault Detection Method in Marine Diesel Engine Operation. [PDF]

Sensors (Basel)
Radić J, Šarić M, Rubić A.
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Robust Asymptotic Fault Estimation of Discrete-Time Interconnected Systems With Sensor Faults

IEEE Transactions on Cybernetics, 2022
In this article, a robust asymptotic fault estimation (RAFE) design is proposed for discrete-time interconnected systems with sensor faults. By constructing a singular augmented system, an equivalent description of the considered interconnected systems is presented. Then, a novel RAFE observer is proposed for the singular augmented system. Furthermore,
Ke Zhang, Bin Jiang, Steven X. Ding, Donghua Zhou   +3 more
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Fault-tolerant state estimation for stochastic systems over sensor networks with intermittent sensor faults

Applied Mathematics and Computation, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Niu, Yichun, Gao, Ming, Sheng, Li
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Sensor network design for fault tolerant estimation

International Journal of Adaptive Control and Signal Processing, 2004
AbstractThis paper addresses the problem of fault tolerant estimation and the design of fault tolerant sensor networks. Fault tolerance is defined with respect to a given estimation objective, namely a given functional of the system state should remain observable when sensor failures occur.
Staroswiecki, Marcel, Hoblos, Ghaleb, Abdel, Aitouche   +2 more
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Simultaneous, multiplicative actuator and sensor fault estimation

2007 European Control Conference (ECC), 2007
This paper considers the joint state/parameter estimation problem which arises when reconstructing multiplicative, simultaneous sensor and actuator faults using observer based methods. Results published in [1] for this type of fault, using a linear diagnostic observer and adaptive updating rules for the fault estimation, are shown unable to separate ...
David Blake, Martin Brown
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Bayesian Fault Probability Estimation: Application in Wind Turbine Drivetrain Sensor Fault Detection

Asian Journal of Control, 2018
AbstractIn this paper, the extension of the Bayesian framework for sensor fault detection of nonlinear systems proposed in [25] is studied utilizing particle filtering and the expectation maximization (EM) algorithm, in which the fault probability is calculated.
Hamed Habibi, Ian Howard, Reza Habibi
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Bearing fault detection and fault size estimation using fiber-optic sensors

Mechanical Systems and Signal Processing, 2019
Abstract Health monitoring of rotating machinery is commonly based on vibration signals. Instead, this pioneering research provides bearing diagnostics using strain measurements, obtained from Fiber Bragg Grating (FBG) fiber-optic sensors. Besides detection of the damage via spectral data, these optical sensors also allow the estimation of damage ...
Hasib Alian, Shlomi Konforty, Uri Ben-Simon, Renata Klein, Moshe Tur, Jacob Bortman   +5 more
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Robust Estimation of Sensor Faults

2016
During the last two decades, considerable research results have been reported on sensor fault estimation (FE), see (Bonivento et al. Automatica 40(3):355–371, 2004) [1], (Gao and Ding, IET Control Theory Appl 1:578–585, 2007) [2], (Tan and Edwards, Asian J Control 9(3):340–344, 2007) [3] and the references therein. In (Bonivento et al. Automatica 40(3):
Jian Zhang, Akshya Kumar Swain, Sing Kiong Nguang   +2 more
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