Browsing by Subject "Fault detection"
Now showing items 41-57 of 57
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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 ... -
Multiple-model sensor and components fault diagnosis in gas turbine engines using autoassociative neural networks
( American Society of Mechanical Engineers , 2014 , Article)In this paper the problem of fault diagnosis in an aircraft jet engine is investigated by using an intelligent-based methodology. The proposed fault detection and isolation (FDI) scheme is based on the multiple model ... -
Nonlinear fault diagnosis of jet engines by using a multiple model-based approach
( ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition, GT2011 , 2011 , Conference Paper)In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the concept of multiple model (MM) approach is proposed for jet engines. A modular and a hierarchical architecture is proposed which ... -
Nonlinear fault diagnosis of jet engines by using a multiple model-based approach
( ASME , 2012 , Article)In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the concept of multiple model approach is proposed for jet engines. A modular and a hierarchical architecture is proposed which enables ... -
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 ... -
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 ... -
Robust cooperative control reconfiguration/recovery in multi-agent systems
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In this paper, a reconfigurable control protocol for a linear multi-agent system seeking consensus in presence of actuator faults and saturations and environmental disturbances is investigated. Two controllers, namely the ... -
Robust sensor fault detection and isolation of gas turbine engines subjected to time-varying parameter uncertainties
( Academic Press , 2016 , Article)In this paper, a novel robust sensor fault detection and isolation (FDI) strategy using the multiple model-based (MM) approach is proposed that remains robust with respect to both time-varying parameter uncertainties and ... -
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 ... -
Sensor fault detection and isolation of an autonomous underwater vehicle using partial kernel PCA
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation (FDI) of an autonomous underwater vehicle (AUV). Principal component analysis (PCA) is an effective ... -
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 ... -
Sensor fault detection and isolation of an industrial gas turbine using partial kernel PCA
( 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015 , 2015 , Conference Paper)In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation of an aeroderivative industrial gas turbine. Principal component analysis (PCA) is an effective tool ... -
Sensor fault detection and isolation using multiple robust filters for linear systems with time-varying parameter uncertainty and error variance constraints
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In this paper, a robust sensor fault detection and isolation (FDI) strategy is proposed by means of the multiple model (MM)-based scheme. The proposed approach is composed of robust Kalman filters (RKF) with error variance ... -
Sensor Fault Detection and Isolation via Networked Estimation: Full-Rank Dynamical Systems
( 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 ... -
Sensor Fault Detection, Isolation, and Identification Using Multiple-Model-Based Hybrid Kalman Filter for Gas Turbine Engines
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)In this paper, a novel sensor fault detection, isolation, and identification (FDII) strategy is proposed using the multiple-model (MM) approach. The scheme is based on multiple hybrid Kalman filters (MHKFs), which represents ... -
Simultaneous fault detection and control design for an autonomous unmanned underwater vehicle
( 2013 7th IEEE GCC Conference and Exhibition, GCC 2013 , 2013 , Conference Paper)In this paper, the problem of simultaneous fault detection and control (SFDC) for an autonomous unmanned underwater vehicle (AUV) is considered. An H∞ formulation of the SFDC problem using a dynamic observer is developed. ... -
Time-frequency diagnosis, condition monitoring, and fault detection
( Elsevier Inc. , 2016 , Book chapter)This chapter aims to further illustrate the (t,f) approach by selecting a few key generic applications of diagnosis and monitoring. The topic is represented by seven sections. One key application is electrical power ...