Daniel Moríñigo-Sotelo
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View article: A Novel Subband Method for Instantaneous Speed Estimation of Induction Motors Under Varying Working Conditions
A Novel Subband Method for Instantaneous Speed Estimation of Induction Motors Under Varying Working Conditions Open
Robust speed estimation in induction motors (IM) is essential for control systems (especially in sensorless drive applications) and condition monitoring. Traditional model-based techniques for inverter-fed IM provide a high accuracy but re…
View article: Detecting Particle Contamination in Bearings of Inverter-Fed Induction Motors: A Comparative Evaluation of Monitoring Signals
Detecting Particle Contamination in Bearings of Inverter-Fed Induction Motors: A Comparative Evaluation of Monitoring Signals Open
In induction motor bearings, distributed faults are prevalent, often resulting from factors such as inadequate lubrication and particle contamination. Unlike localized faults, distributed faults produce complex and unpredictable motor sign…
View article: Diagnosis of rotor asymmetries in induction motors: A steady state approach using rotating frame references
Diagnosis of rotor asymmetries in induction motors: A steady state approach using rotating frame references Open
The diagnostic of electrical machines is of paramount importance, particularly with the Motor Current Signature Analysis (MCSA) method. MCSA stands out as a potent and non-intrusive tool for evaluating the condition of electric motors. Thi…
View article: Detection of Broken Bars in Induction Motors Operating with Closed-Loop Speed Control
Detection of Broken Bars in Induction Motors Operating with Closed-Loop Speed Control Open
Rotor bar breakage in induction motors is often detected by analysing the signatures in the stator current. However, due to the alteration of the current spectrum, traditional methods may fail when inverter-fed motors operate with closed-l…
View article: Imbalanced Diagnosis Scheme for Incipient Rotor Faults in Inverter-Fed Induction Motors
Imbalanced Diagnosis Scheme for Incipient Rotor Faults in Inverter-Fed Induction Motors Open
Recently, fault diagnosing supervised classifiers have been widely proposed to diagnose both electric and mechanical faults in induction motors (IM). However, many of them require a large amount of data, which implies a great effort requir…
View article: Rotor speed estimation for half-broken bar detection in induction motors using Kalman filtering
Rotor speed estimation for half-broken bar detection in induction motors using Kalman filtering Open
This study addresses the early detection of half-broken bars in induction motors (IMs). Most research on fault detection focuses on current signature analysis because it can provide online and remote monitoring at a low cost. However, erro…
View article: Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Load Variations
Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Load Variations Open
Induction motors work under steady-state in many applications. Nevertheless, in some cases they experience periodic load fluctuations, which generate constant frequency harmonics close to variable frequency bar breakage harmonics. In these…
View article: Harmonic Distortion Indices for Experimental Characterization of Variable Frequency Drives
Harmonic Distortion Indices for Experimental Characterization of Variable Frequency Drives Open
Frequency converters controlling electric motors are widely used as they increase the functionality of the equipment and improve energy efficiency. However, it is inevitable that the quality of the power delivered to the motor does not hav…
View article: Multi-Rate Vibration Signal Analysis for Bearing Fault Detection in Induction Machines Using Supervised Learning Classifiers
Multi-Rate Vibration Signal Analysis for Bearing Fault Detection in Induction Machines Using Supervised Learning Classifiers Open
Vibration signals carry important information about the health state of a ball bearing and have proven their efficiency in training machine learning models for fault diagnosis. However, the sampling rate and frequency resolution of these a…
View article: Study of Heat Exchangers in Small Modular Reactors (SMRs)
Study of Heat Exchangers in Small Modular Reactors (SMRs) Open
This paper presents a comparative study of different coolants, materials, and temperatures that can affect the effectiveness of heat exchangers that are used in small modular reactors. The corrugated plate heat exchangers were chosen out o…
View article: Demagnetization Monitoring and Identification in PM Generators With Concentrated Windings During Transient Conditions
Demagnetization Monitoring and Identification in PM Generators With Concentrated Windings During Transient Conditions Open
Direct drive permanent magnet machines used in renewables typically have high numbers of poles leading to low speeds. This poses a challenge for detection of faults during transients, while few periods of the operating waveforms can be cap…
View article: Early Detection of Faults in Induction Motors—A Review
Early Detection of Faults in Induction Motors—A Review Open
There is an increasing interest in improving energy efficiency and reducing operational costs of induction motors in the industry. These costs can be significantly reduced, and the efficiency of the motor can be improved if the condition o…
View article: End-Ring Wear in Deep-Well Submersible Motor Pumps
End-Ring Wear in Deep-Well Submersible Motor Pumps Open
(c) 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, c…
View article: Spectral Kurtosis Based Methodology for the Identification of Stationary Load Signatures in Electrical Signals from a Sustainable Building
Spectral Kurtosis Based Methodology for the Identification of Stationary Load Signatures in Electrical Signals from a Sustainable Building Open
The increasing use of nonlinear loads in the power grid introduces some unwanted effects, such as harmonic and interharmonic contamination. Since the existence of spectral contamination causes waveform distortion that may be harmful to the…
View article: Analysis of the use of the Hanning Window for the measurement of interharmonic distortion caused by close tones in IEC standard framework.
Analysis of the use of the Hanning Window for the measurement of interharmonic distortion caused by close tones in IEC standard framework. Open
The widespread use of devices based on power electronics and other nonlinear loads has led to an increase in harmonic distortion that affects the quality of power systems. Therefore, the correct measurement of harmonic and interharmonic co…
View article: Power Quality Monitoring Strategy Based on an Optimized Multi-Domain Feature Selection for the Detection and Classification of Disturbances in Wind Generators
Power Quality Monitoring Strategy Based on an Optimized Multi-Domain Feature Selection for the Detection and Classification of Disturbances in Wind Generators Open
Wind generation has recently become an essential renewable power supply option. Wind generators are integrated with electrical machines that require correct functionality. However, the increasing use of non-linear loads introduces undesire…
View article: Fundamental Frequency Normalization for Reliable Detection of Rotor and Load Defects in VSD-Fed Induction Motors
Fundamental Frequency Normalization for Reliable Detection of Rotor and Load Defects in VSD-Fed Induction Motors Open
Producción Científica
View article: A Review of Total Harmonic Distortion Factors for the Measurement of Harmonic and Interharmonic Pollution in Modern Power Systems
A Review of Total Harmonic Distortion Factors for the Measurement of Harmonic and Interharmonic Pollution in Modern Power Systems Open
Harmonic distortion is one of the disturbances that most affects the quality of the electrical system. The widespread use of power electronic systems, especially power converters, has increased harmonic and interharmonic emission in a wide…
View article: Analysis of the behavior of <scp>MVDC</scp> system in a distribution grid compared to a <scp>UPFC</scp> system
Analysis of the behavior of <span>MVDC</span> system in a distribution grid compared to a <span>UPFC</span> system Open
The increase in electricity demand, the incorporation of renewable energies, or the trend toward deregulation in the power market, implies significant changes in the power networks.Load flows are considerably altered, giving rise to techni…
View article: Sensorless Speed Estimation for the Diagnosis of Induction Motors via MCSA. Review and Commercial Devices Analysis
Sensorless Speed Estimation for the Diagnosis of Induction Motors via MCSA. Review and Commercial Devices Analysis Open
Sensorless speed estimation has been extensively studied for its use in control schemes. Nevertheless, it is also a key step when applying Motor Current Signature Analysis to induction motor diagnosis: accurate speed estimation is vital to…
View article: Multi-Fault Diagnosis in Three-Phase Induction Motors Using Data Optimization and Machine Learning Techniques
Multi-Fault Diagnosis in Three-Phase Induction Motors Using Data Optimization and Machine Learning Techniques Open
Induction motors are very robust, with low operating and maintenance costs, and are therefore widely used in industry. They are, however, not fault-free, with bearings and rotor bars accounting for about 50% of the total failures. This wor…
View article: Power Quality Disturbance Tracking Based on a Proprietary FPGA Sensor with GPS Synchronization
Power Quality Disturbance Tracking Based on a Proprietary FPGA Sensor with GPS Synchronization Open
The study of power quality (PQ) has gained relevance over the years due to the increase in non-linear loads connected to the grid. Therefore, it is important to study the propagation of power quality disturbances (PQDs) to determine the pr…
View article: Diagnosis of Broken Rotor Bars during the Startup of Inverter-Fed Induction Motors Using the Dragon Transform and Functional ANOVA
Diagnosis of Broken Rotor Bars during the Startup of Inverter-Fed Induction Motors Using the Dragon Transform and Functional ANOVA Open
A proper diagnosis of the state of an induction motor is of great interest to industry given the great importance of the extended use of this motor. Presently, the use of this motor driven by a frequency converter is very widespread. Howev…
View article: Early Detection of Broken Rotor Bars in Inverter-Fed Induction Motors Using Speed Analysis of Startup Transients
Early Detection of Broken Rotor Bars in Inverter-Fed Induction Motors Using Speed Analysis of Startup Transients Open
The fault diagnosis of electrical machines during startup transients has received increasing attention regarding the possibility of detecting faults early. Induction motors are no exception, and motor current signature analysis has become …
View article: Mutual Information and Meta-Heuristic Classifiers Applied to Bearing Fault Diagnosis in Three-Phase Induction Motors
Mutual Information and Meta-Heuristic Classifiers Applied to Bearing Fault Diagnosis in Three-Phase Induction Motors Open
Three-phase induction motors are extensively used in industrial processes due to their robustness, adaptability to different operating conditions, and low operation and maintenance costs. Induction motor fault diagnosis has received specia…