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Model-Free Geometric Fault Detection and Isolation for Nonlinear Systems Using Koopman Operator
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
This paper presents a model-free fault detection and isolation (FDI) method for nonlinear dynamical systems using Koopman operator theory and linear geometric technique. The key idea is to obtain a Koopman-based reduced-order ...
Event-triggered fault detection and isolation for discrete-time linear systems
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Institution of Engineering and Technology
, 2016 , Article)
In this study, the problem of event-triggered fault detection and isolation (FDI) for discrete-time linear time invariant systems is considered. Using a Leunberger observer as the residual generator, a multi-objective ...
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two distinct blocks: feature extraction and classification. Such ...
Sensor Fault Detection and Isolation via Networked Estimation: Full-Rank Dynamical Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
This paper considers the problem of simultaneous sensor fault detection, isolation, and networked estimation of linear full-rank dynamical systems. The proposed networked estimation is a variant of single time-scale protocol ...
Fault detection and isolation of two-dimensional (2D) systems
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Elsevier B.V.
, 2017 , Article)
In this work, we develop a novel fault detection and isolation (FDI) scheme for discrete-time two-dimensional (2D) systems that are represented by the Fornasini?Marchesini model II (FMII). This is accomplished by generalizing ...
Adaptive Fault Detection Scheme Using an Optimized Self-healing Ensemble Machine Learning Algorithm
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China Electric Power Research Institute
, 2022 , Article)
This paper proposes a new cost-efficient, adaptive, and self-healing algorithm in real time that detects faults in a short period with high accuracy, even in the situations when it is difficult to detect. Rather than using ...
Auto-nahl: A neural network approach for condition-based maintenance of complex industrial systems
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. Such a learning model is able to assess health states ...
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Preventive maintenance of modern electric rotating machinery (RM) is critical for ensuring reliable operation, preventing unpredicted breakdowns and avoiding costly repairs. Recently many studies investigated machine ...
Fault detection and isolation of linear impulsive systems
(
IEEE
, 2011 , Article)
This technical note investigates the development of fault detection and isolation (FDI) filters for linear impulsive systems. The concept of an unobservability subspace is introduced for linear impulsive systems and an ...
Event-Triggered Fault Detection for Networked Control Systems Subject to Packet Dropout
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Wiley-Blackwell
, 2018 , Article)
This paper investigates the problem of event-triggered fault detection for discrete-time networked systems subject to packet dropout. The main aim of the proposed approach is to efficiently use the communication network ...