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An Agreement Based Dynamic Routing Method for Fault Diagnosis in Power Network with Enhanced Noise Immunity
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The stable operation of a power system often depends on inscribing the faults that may arise when transmitting and distributing electrical power. Characterizing these faults is necessary to analyze the post-fault oscillography ...
A Greedy Layer-Wise Learning Algorithm for Open-Circuit Fault Diagnosis of Grid-Connected Inverters
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
This paper introduces a greedy layer-wise learning algorithm to diagnose open-circuit faults of grid-connected inverters. Inverters play important roles in energy conversion, especially when converting direct current to ...
Auto-nahl: A neural network approach for condition-based maintenance of complex industrial systems
(
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 ...
Sensor data validation and fault diagnosis using Auto-Associative Neural Network for HVAC systems
(
Elsevier Ltd
, 2020 , Article)
The Heating, Ventilation, and Air conditioning (HVAC) system is a major system in buildings for conditioning the indoor environment. Sensor data validation and fault diagnosis for HVAC systems are essentially important to ...
Model-Free Geometric Fault Detection and Isolation for Nonlinear Systems Using Koopman Operator
(
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 ...
Fault-tolerant control of nonlinear heterogeneous multi-agent systems
(
Elsevier Ltd
, 2021 , Article)
In this paper, time-varying loss of effectiveness and time-varying additive actuator faults in nonlinear heterogeneous multi-agent systems (MAS) are considered and an adaptive fault tolerant-control (FTC) scheme based on ...
Event-triggered robust fault diagnosis and control of linear Roesser systems: A unified framework
(
Elsevier Ltd
, 2021 , Article)
In this paper, the problem of simultaneous robust fault detection and isolation and control in the presence of the stochastic, energy bounded, and peak bounded disturbances for linear Roesser systems through the network ...
Mission independent fault-tolerant control of heterogeneous linear multiagent systems based on adaptive virtual actuator
(
John Wiley and Sons Ltd
, 2021 , Article)
In this article, a fault-tolerant control (FTC) scheme for linear multiagent systems (MASs) subject to time-varying loss of effectiveness and time-varying additive actuator faults as well as external disturbance is ...
Novel Actuator Fault Diagnosis Framework for Multizone HVAC Systems Using 2-D Convolutional Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Heating, ventilation, and air conditioning (HVAC) systems are used to condition the indoor environment in buildings. They can be subjected to malfunctioning since they are the most extensively operated buildings' components ...
Distributed Fast Fault Detection in DC Microgrids
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The problem of distributed fast fault detection for a direct current (dc) microgrid that is composed of multiple interconnected distributed generation units (DGUs) is addressed in this article. A local fault detector is ...