Browsing Electrical Engineering by Title
Now showing items 2283-2302 of 2616
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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 adaptive KPCA
( Elsevier Ltd , 2018 , Article)In this paper, sensor fault detection and isolation of time-varying nonlinear dynamical systems is studied by utilizing an adaptive kernel principal component analysis (KPCA) solution as a useful method to overcome the ... -
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 ... -
Sensor Fault Diagnosis of Multi-Zone HVAC Systems Using Auto-Associative Neural Network
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)This paper presents a data-driven sensor fault diagnosis algorithm for multi-zone Heating, Ventilation, and Air conditioning (HVAC) systems based on an Auto-Associative Neural Networks (AANNs) framework. The proposed method ... -
Sensor network architecture for deployment over low voltage powerlines
( IEEE , 2010 , Conference Paper)This paper presents the design and implementation of an efficient sensor network (SN) over standard powerlines. As an application of the proposed SN, a home security and surveillance system was designed and implemented. ... -
Sensor-less operation of hybrid boost modular multilevel converter for subsea multiphase medium voltage drives
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper introduces Hybrid Boost Modular Multilevel Converter (Hybrid Boost MMC) as a suitable candidate for subsea drive systems. The investigated drive system is based on a five-phase Induction Machine (IM) in order ... -
Sensorless back stepping control for a five-phase permanent magnet synchronous motor drive based on sliding mode observer
( Springer Verlag , 2017 , Book chapter)This paper presents the development of a speed control technique for a five-phase permanent magnet synchronous motor drive (PMSM) based on sliding mode observer (SMO) and back stepping controller. The design of back stepping ... -
Sensorless field oriented control of five-phase induction machine under open-circuit phase faults
( IEEE , 2013 , Conference Paper)Recently, multiphase machine is promoted to replace three-phase drives in high power safety-critical applications. Among the numerous advantages of multiphase induction machine drives, operation and self-starting under ... -
Sensorless indirect rotor flux oriented control of a five-phase induction motor based on sliding mode observer
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, a new sliding mode observer is developed for the indirect rotor flux oriented control (IRFOC) of a Five-phase Induction motor drive. Numerous observer structures for Five-phase induction motor drive is ... -
Sensorless sliding mode observer for a five-phase permanent magnet synchronous motor drive
( Elsevier , 2015 , Article)This paper deals with the sensorless vector controlled five-phase permanent magnet synchronous motor (PMSM) drive based on a sliding mode observer (SMO). The observer is designed considering the back electromotive force ... -
Sensorless Speed Control of AC Machines
( John Wiley & Sons, Ltd , 2012 , Book chapter) -
Sensorless V/f control with MRAS speed estimator for a five-phase induction machine under open-circuit phase faults
( IEEE , 2013 , Conference Paper)This paper introduces a sensorless scalar controller with MRAS speed estimator based on simple Proportional Resonant PR controllers to provide a disturbance-free operation to a five-phase induction machine under phase open ... -
Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models
( IEEE Computer Society , 2019 , Conference Paper)Sepsis is caused by the dysregulated host response to infection and potentially is the main cause of 6 million death annually. It is a highly dynamic syndrome and therefore the early prediction of sepsis plays a key role ... -
Sequential random selection relaying for energy efficient wireless sensor networks
( IEEE , 2010 , Conference Paper)In a wireless sensor network with relaying capability, intermediate relay nodes are with limited energy budget. To maximize lifetime of relay nodes, selective relay strategies, requiring full channel state information ... -
Series-Connected Multi-Half-Bridge Modules Active Front-End Rectifier for Medium Voltage Variable Speed Drives
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Medium-Voltage Variable Speed Drives (VSDs) are the backbone of several critical industries. Providing the proper dc-link voltage to support the VSD's converter is crucial. Conventionally, dc-link voltage is supplied either ... -
Series-connected multi-half-bridge modules converter for integrating multi-megawatt wind multi-phase permanent magnet synchronous generator with dc grid
( Institution of Engineering and Technology , 2017 , Article)In this study, a new transformerless wind energy conversion system to integrate high-power multi-phase permanent magnet wind generators to medium-voltage local grids is presented. The proposed converter topology consists ...