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New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform

Engineering applications of artificial intelligence, 2016-02, Vol.48, p.1-12

2016

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Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGA

Sensors (Basel, Switzerland), 2021-05, Vol.21 (11), p.3598

2021

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Hardware structures, control strategies, and applications of electric springs: a state-of-the-art review

IET generation, transmission & distribution, 2020-12, Vol.14 (23), p.5349-5363

2020

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Synchrosqueezing transform-based methodology for broken rotor bars detection in induction motors

Measurement : journal of the International Measurement Confederation, 2016-08, Vol.90, p.519-525

2016

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Time-Frequency Analysis and Neural Networks for Detecting Short-Circuited Turns in Transformers in Both Transient and Steady-State Regimes Using Vibration Signals

Applied sciences, 2023-11, Vol.13 (22), p.12218

2023

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Short-Circuit Damage Diagnosis in Transformer Windings Using Quaternions: Severity Assessment through Current and Vibration Signals

Applied sciences, 2023-12, Vol.13 (23), p.12622

2023

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Vibration Signal Processing-Based Detection of Short-Circuited Turns in Transformers: A Nonlinear Mode Decomposition Approach

Mathematics (Basel), 2020-04, Vol.8 (4), p.575

2020

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Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors

TheScientificWorld, 2014-01, Vol.2014, p.908140-17

2014

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Shannon Entropy and K -Means Method for Automatic Diagnosis of Broken Rotor Bars in Induction Motors Using Vibration Signals

Shock and vibration, 2016-01, Vol.2016, p.1-10

2016

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Complete Ensemble Empirical Mode Decomposition on FPGA for Condition Monitoring of Broken Bars in Induction Motors

Mathematics (Basel), 2019-09, Vol.7 (9), p.783

2019

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Location of Multiple Damage Types in a Truss-Type Structure Using Multiple Signal Classification Method and Vibration Signals

Mathematics (Basel), 2020-06, Vol.8 (6), p.932

2020

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EEMD-MUSIC-Based Analysis for Natural Frequencies Identification of Structures Using Artificial and Natural Excitations

TheScientificWorld, 2014-01, Vol.2014, p.587671-12

2014

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High-resolution Spectral-analysis for Fundamental Frequency Estimation of High-rise Buildings subjected to Earthquakes

Revista IEEE América Latina, 2015-12, Vol.13 (12), p.3735-3742

2015

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Demodulation Technique for Broken Rotor Bar Detection in Inverter-Fed Induction Motor Under Non-Stationary Conditions

IEEE transactions on energy conversion, 2019-09, Vol.34 (3), p.1496-1503

2019

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Novel Downsampling Empirical Mode Decomposition Approach for Power Quality Analysis

IEEE transactions on industrial electronics (1982), 2016-04, Vol.63 (4), p.2369-2378

2016

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Statistical time features for global corrosion assessment in a truss bridge from vibration signals

Measurement : journal of the International Measurement Confederation, 2020-08, Vol.160, p.107858, Article 107858

2020

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Nonlinear mode decomposition-based methodology for modal parameters identification of civil structures using ambient vibrations

Measurement science & technology, 2020-01, Vol.31 (1), p.15007

2020

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Fractal dimension and fuzzy logic systems for broken rotor bar detection in induction motors at start-up and steady-state regimes

Measurement science & technology, 2017-07, Vol.28 (7), p.75001

2017

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Variational Mode Decomposition-Based Processing for Detection of Short-Circuited Turns in Transformers Using Vibration Signals and Machine Learning

Electronics (Basel), 2024-04, Vol.13 (7), p.1215

2024

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Field-Programmable Gate Array Architecture for the Discrete Orthonormal Stockwell Transform (DOST) Hardware Implementation

Journal of low power electronics and applications, 2024-08, Vol.14 (3), p.42

2024

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Hilbert filter based FPGA architecture for power quality monitoring

Measurement : journal of the International Measurement Confederation, 2019-12, Vol.147, p.106819, Article 106819

2019

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Convolutional Neural Network-Based Methodology for Detecting, Locating and Quantifying Corrosion Damage in a Truss-Type Bridge Through the Autocorrelation of Vibration Signals

Arabian journal for science and engineering (2011), 2023-02, Vol.48 (2), p.1119-1141

2023

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Fractal dimension-based approach for detection of multiple combined faults on induction motors

Journal of vibration and control, 2016-10, Vol.22 (17), p.3638-3648

2016

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Reassigned Short Time Fourier Transform and K-means Method for Diagnosis of Broken Rotor Bar Detection in VSD-fed Induction Motors

Advances in electrical and computer engineering, 2019-01, Vol.19 (2), p.61-68

2019

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Discriminating the lubrication condition from the rotor bearing fault in induction motors using Margenau-Hill frequency distribution and artificial neural networks

Industrial lubrication and tribology, 2017-01, Vol.69 (6), p.970-979

2017

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New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform

Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGA

Hardware structures, control strategies, and applications of electric springs: a state-of-the-art review

Synchrosqueezing transform-based methodology for broken rotor bars detection in induction motors

Time-Frequency Analysis and Neural Networks for Detecting Short-Circuited Turns in Transformers in Both Transient and Steady-State Regimes Using Vibration Signals

Short-Circuit Damage Diagnosis in Transformer Windings Using Quaternions: Severity Assessment through Current and Vibration Signals

Vibration Signal Processing-Based Detection of Short-Circuited Turns in Transformers: A Nonlinear Mode Decomposition Approach

Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors

Shannon Entropy and K -Means Method for Automatic Diagnosis of Broken Rotor Bars in Induction Motors Using Vibration Signals

Complete Ensemble Empirical Mode Decomposition on FPGA for Condition Monitoring of Broken Bars in Induction Motors

Location of Multiple Damage Types in a Truss-Type Structure Using Multiple Signal Classification Method and Vibration Signals

EEMD-MUSIC-Based Analysis for Natural Frequencies Identification of Structures Using Artificial and Natural Excitations

High-resolution Spectral-analysis for Fundamental Frequency Estimation of High-rise Buildings subjected to Earthquakes

Demodulation Technique for Broken Rotor Bar Detection in Inverter-Fed Induction Motor Under Non-Stationary Conditions

Novel Downsampling Empirical Mode Decomposition Approach for Power Quality Analysis

Statistical time features for global corrosion assessment in a truss bridge from vibration signals

Nonlinear mode decomposition-based methodology for modal parameters identification of civil structures using ambient vibrations

Fractal dimension and fuzzy logic systems for broken rotor bar detection in induction motors at start-up and steady-state regimes

Variational Mode Decomposition-Based Processing for Detection of Short-Circuited Turns in Transformers Using Vibration Signals and Machine Learning

Field-Programmable Gate Array Architecture for the Discrete Orthonormal Stockwell Transform (DOST) Hardware Implementation

Hilbert filter based FPGA architecture for power quality monitoring

Convolutional Neural Network-Based Methodology for Detecting, Locating and Quantifying Corrosion Damage in a Truss-Type Bridge Through the Autocorrelation of Vibration Signals

Fractal dimension-based approach for detection of multiple combined faults on induction motors

Reassigned Short Time Fourier Transform and K-means Method for Diagnosis of Broken Rotor Bar Detection in VSD-fed Induction Motors

Discriminating the lubrication condition from the rotor bearing fault in induction motors using Margenau-Hill frequency distribution and artificial neural networks

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