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ANN-based system for a discrimination between unbalanced supply voltage and phase loss in induction motors
(
Institution of Engineering and Technology
, 2014 , Conference Paper)
It is documented that almost 98% of all voltage generated by electric utilities has up to 3% unbalance. Single phasing fault deserves special attention since phase loss is considered the worst case of unbalanced supply ...
Event-Triggered Fault Detection for Networked Control Systems Subject to Packet Dropout
(
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 ...
Event-triggered fault detection and isolation for discrete-time linear systems
(
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 ...
Event-triggered simultaneous fault detection and consensus control for linear multi-agent systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
This paper investigates the design and development of event-triggered simultaneous fault detection and consensus control (SFDCC) problem for a network of linear agents. Each agent is equipped with a distributed SFDCC unit ...
Event-triggered fault detection for discrete-time LPV systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this paper, a new event-triggering mechanism is proposed for the problem of fault detection (FD) in discrete-time linear parameter-varying (LPV) systems. A parameter-dependent event-based observer is designed as the ...
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
(
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 ...
Finite Frequency Fault Diagnosis for Heterogeneous Multi-agent LPV Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
This paper addresses the problem of distributed fault detection and isolation (FDI) observer design in finite frequency domain for a class of heterogeneous multi-agent linear parameter-varying (LPV) systems. For this ...
Fault detection in modular multilevel converter using principle component analysis
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Modular multilevel converter is becoming a great candidate for high power applications due to its valuable features. However, its higher performance comes at the expenses of higher complexity, which increases the risks of ...
Sensor fault detection and isolation of an industrial gas turbine using partial block-wise adaptive kernel peA
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
In this paper, sensor fault detection and isolation of nonlinear time-varying dynamical systems is investigated based on a fast partial block-wise adaptive Kernel Principal Component Analysis (KPCA) scheme. Using the ...
Actuator fault detection and isolation of differential drive mobile robots using multiple model algorithm
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
An actuator fault detection and isolation (FDI) scheme is proposed in this paper for differential drive mobile robots based on the concept of multiple model approach. The nonlinear kinematic model of the mobile robot is ...