Observer‐based fault‐tolerant control of hypersonic scramjet vehicles in the presence of actuator faults and saturation
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.4004
Abstract: An adaptive sliding mode observer (SMO)–based fault‐tolerant control method taking into consideration of actuator saturation is proposed for a hypersonic scramjet vehicle (HSV) under a class of time‐varying actuator faults. The SMO is designed to… read more here.
Keywords: actuator faults; saturation; actuator; based fault ... See more keywords
Observer-Based Fault Diagnosis of Nonlinear Systems via an Improved Homogeneous Polynomial Technique
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-017-0334-x
Abstract: The problem of observer-based fault diagnosis is investigated for a class of nonlinear systems via an improved homogeneous polynomial technique (HPT). In the design of the estimator, some adjustable parameters are introduced that can lead… read more here.
Keywords: observer based; based fault; systems via; fault diagnosis ... See more keywords
Fault mode probability factor based fault-tolerant control for dissimilar redundant actuation system
Sign Up to like & getrecommendations! Published in 2018 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2018.01.026
Abstract: Abstract This paper presents a Fault Mode Probability Factor (FMPF) based Fault-Tolerant Control (FTC) strategy for multiple faults of Dissimilar Redundant Actuation System (DRAS) composed of Hydraulic Actuator (HA) and Electro-Hydrostatic Actuator (EHA). The long-term… read more here.
Keywords: fault mode; fault; system; mode probability ... See more keywords
Impedance-based fault location methods: Sensitivity analysis and performance improvement
Sign Up to like & getrecommendations! Published in 2018 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2017.10.021
Abstract: Abstract This paper deals with analysis and improvement of two-terminal impedance based fault location methods for transmission lines. Firstly, a customised sensitivity analysis (CSA) for this class of methods is discussed, which allows a more… read more here.
Keywords: fault; location methods; fault location; based fault ... See more keywords
Computational cost of an exergy-based fault detection scheme implemented in a commercial process simulator
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.09.189
Abstract: Abstract Energy-based fault detection and isolation (FDI) schemes show promise in terms of applicability to petrochemical industries and the broader process industries. Model-based FDI schemes offer pronounced advantages over more easily implemented data-driven FDI techniques.… read more here.
Keywords: fault detection; based fault; process; exergy based ... See more keywords
Big data analytics based fault prediction for shop floor scheduling
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2017.03.008
Abstract: The current task scheduling mainly concerns the availability of machining resources, rather than the potential errors after scheduling. To minimise such errors in advance, this paper presents a big ... read more here.
Keywords: big data; fault prediction; data analytics; based fault ... See more keywords
Observer-based fault detection for magnetic coupling underwater thrusters with applications in jiaolong HOV
Sign Up to like & getrecommendations! Published in 2020 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2020.107570
Abstract: Abstract This study proposed an observer-based fault detection method for magnetic coupling underwater thrusters. To improve the accuracy of a thruster system model, a modeling identification method based on local recurrent neural networks was proposed,… read more here.
Keywords: fault; magnetic coupling; fault detection; observer based ... See more keywords
Deep representation clustering-based fault diagnosis method with unsupervised data applied to rotating machinery
Sign Up to like & getrecommendations! Published in 2020 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2020.106825
Abstract: Abstract Despite the recent advances on intelligent data-driven machinery fault diagnostics, large amounts of high-quality supervised data are mostly required for model training. However, it is usually difficult and expensive to collect sufficient labeled data… read more here.
Keywords: diagnosis method; fault; unsupervised data; method ... See more keywords
A Feed-Forward Wavelet Neural Network Adaptive Observer-Based Fault Detection Technique for Spacecraft Attitude Control Systems
Sign Up to like & getrecommendations! Published in 2018 at "Chinese Journal of Electronics"
DOI: 10.1049/cje.2017.11.010
Abstract: This paper presents a novel neural network-based fault detection technique applicable to a class of nonlinear systems. The adaptive observer was designed for fault detection based on a single hidden layer feed-forward wavelet neural network.… read more here.
Keywords: fault detection; neural network; based fault; network ... See more keywords
Model-based fault detection and isolation of non-technical losses in electrical networks
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical and Computer Modelling of Dynamical Systems"
DOI: 10.1080/13873954.2019.1655066
Abstract: ABSTRACT A model-based diagnostic method is proposed for detecting and isolating non-technical losses (illegal loads) in low voltage electrical grids of one transformer area. The proposed method uses a simple static linear model of the… read more here.
Keywords: model based; fault detection; technical losses; non technical ... See more keywords
Data Simulation by Resampling—A Practical Data Augmentation Algorithm for Periodical Signal Analysis-Based Fault Diagnosis
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DOI: 10.1109/access.2019.2937838
Abstract: In recent years, machine learning and deep learning based fault diagnosis methods have been studied, however, most of them remain at the experimental stage mainly because of two obstacles, briefly, a) inadequate faulty examples and… read more here.
Keywords: diagnosis; based fault; simulation resampling; augmentation ... See more keywords