1938, Publicaciones oficiales, 337
Book
Cuadernos de Historia Moderna, ISSN 0214-4018, 01/2009, Issue 34, p. 211
Journal Article
2013, Coloquios y testimonios, ISBN 9789597218272, 161
Book
IEEE Transactions on Industry Applications, ISSN 0093-9994, 05/2017, Volume 53, Issue 3, pp. 3086 - 3097
Condition monitoring schemes are essential for increasing the reliability and ensuring the equipment efficiency in industrial processes. The feature extraction...
Condition monitoring | Vibrations | Induction motors | multiple faults | Feature extraction | feature reduction | Circuit faults | Signal resolution | induction motor (IM) | Principal component analysis | vibrations | HILBERT | ENGINEERING, MULTIDISCIPLINARY | FEATURE-EXTRACTION | FAULT-DIAGNOSIS | ENGINEERING, ELECTRICAL & ELECTRONIC | Induction electric motors | Principal components analysis | Usage | Research | Neural networks | Discriminant analysis | Maquinària | Manteniment i reparació | Motors | Electric motors, Induction | Maintenance | Motors elèctrics | Enginyeria dels materials | Manteniment | Enginyeria mecànica | Àrees temàtiques de la UPC | Motors elèctrics d'inducció
Condition monitoring | Vibrations | Induction motors | multiple faults | Feature extraction | feature reduction | Circuit faults | Signal resolution | induction motor (IM) | Principal component analysis | vibrations | HILBERT | ENGINEERING, MULTIDISCIPLINARY | FEATURE-EXTRACTION | FAULT-DIAGNOSIS | ENGINEERING, ELECTRICAL & ELECTRONIC | Induction electric motors | Principal components analysis | Usage | Research | Neural networks | Discriminant analysis | Maquinària | Manteniment i reparació | Motors | Electric motors, Induction | Maintenance | Motors elèctrics | Enginyeria dels materials | Manteniment | Enginyeria mecànica | Àrees temàtiques de la UPC | Motors elèctrics d'inducció
Journal Article
IEEE Transactions on Industrial Electronics, ISSN 0278-0046, 05/2011, Volume 58, Issue 5, pp. 2002 - 2010
Induction motors are critical components for most industries. Induction motor failures may yield an unexpected interruption at the industry plant. Several...
Vibrations | Induction motors | Rotors | Bandwidth | Synchronous motors | multiple-fault diagnosis | Multiple signal classification | Circuit faults | high-resolution spectral analysis | Combined fault diagnosis | induction motors | MACHINES | INSTRUMENTS & INSTRUMENTATION | VIBRATION | BAR DETECTION | CLASSIFICATION | DIAGNOSTICS | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Induction electric motors | Analysis | Electric utilities | Faults | Vibration | Rotating machinery | Mathematical analysis | Impulse response | Spectra | Diagnosis
Vibrations | Induction motors | Rotors | Bandwidth | Synchronous motors | multiple-fault diagnosis | Multiple signal classification | Circuit faults | high-resolution spectral analysis | Combined fault diagnosis | induction motors | MACHINES | INSTRUMENTS & INSTRUMENTATION | VIBRATION | BAR DETECTION | CLASSIFICATION | DIAGNOSTICS | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Induction electric motors | Analysis | Electric utilities | Faults | Vibration | Rotating machinery | Mathematical analysis | Impulse response | Spectra | Diagnosis
Journal Article
IEEE Transactions on Industry Applications, ISSN 0093-9994, 05/2017, Volume 53, Issue 3, pp. 3066 - 3075
Intelligent fault detection in induction motors (IMs) is a widely studied research topic. Various artificial-intelligence-based approaches have been proposed...
Induction motors | fault diagnosis | sampling methods | data analysis | Frequency-domain analysis | Rotors | Harmonic analysis | condition monitoring | induction motors (IMs) | Classification algorithms | Monitoring | Bars | rotors | DIAGNOSIS | SIGNATURE ANALYSIS | RECOGNITION | CLASSIFICATION | ENGINEERING, ELECTRICAL & ELECTRONIC | ENGINEERING, MULTIDISCIPLINARY | BROKEN BARS | MACHINE | Induction electric motors | Usage | Research | Time-domain analysis
Induction motors | fault diagnosis | sampling methods | data analysis | Frequency-domain analysis | Rotors | Harmonic analysis | condition monitoring | induction motors (IMs) | Classification algorithms | Monitoring | Bars | rotors | DIAGNOSIS | SIGNATURE ANALYSIS | RECOGNITION | CLASSIFICATION | ENGINEERING, ELECTRICAL & ELECTRONIC | ENGINEERING, MULTIDISCIPLINARY | BROKEN BARS | MACHINE | Induction electric motors | Usage | Research | Time-domain analysis
Journal Article
IEEE Transactions on Industrial Informatics, ISSN 1551-3203, 06/2017, Volume 13, Issue 3, pp. 1291 - 1300
Fault detection in induction motors (IM) has been studied during the past decades due to the role that these electric machines play in industry. Regular...
Induction motors | spectral leakage | spectral estimation | Rotors | Estimation | fault detection | Fast Fourier transform (FFT) | Frequency estimation | multirate signal processing | induction motors (IM) | Signal resolution | Bars | Spectral estimation | Multirate signal processing | Fault detection | Fast Fourier transform | Spectral leakage | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ENGINEERING, INDUSTRIAL | AUTOMATION & CONTROL SYSTEMS | ROTOR FAULTS | Leakage | Machinery condition monitoring | Fourier transforms | Motors | Fourier analysis | Spectra | Vibration monitoring | Noise sensitivity | Signal processing | Resampling | Noise prediction | Vibration analysis | Signal to noise ratio
Induction motors | spectral leakage | spectral estimation | Rotors | Estimation | fault detection | Fast Fourier transform (FFT) | Frequency estimation | multirate signal processing | induction motors (IM) | Signal resolution | Bars | Spectral estimation | Multirate signal processing | Fault detection | Fast Fourier transform | Spectral leakage | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ENGINEERING, INDUSTRIAL | AUTOMATION & CONTROL SYSTEMS | ROTOR FAULTS | Leakage | Machinery condition monitoring | Fourier transforms | Motors | Fourier analysis | Spectra | Vibration monitoring | Noise sensitivity | Signal processing | Resampling | Noise prediction | Vibration analysis | Signal to noise ratio
Journal Article
International Journal of Advanced Robotic Systems, ISSN 1729-8806, 9/2013, Volume 10, Issue 9, p. 324
Performance improvement is the main goal of the study of PID control and much research has been conducted for this purpose. The PID filter is implemented in...
Genetic algorithm (GA) | Positioning system | Gain-phase margin | PID control | Frequency response (FR) | Positioning System | DESIGN | PROFILES | ROBOTICS | Gain-Phase Margin | Genetic Algorithm (GA) | Frequency Response (FR) | SOFTWARE
Genetic algorithm (GA) | Positioning system | Gain-phase margin | PID control | Frequency response (FR) | Positioning System | DESIGN | PROFILES | ROBOTICS | Gain-Phase Margin | Genetic Algorithm (GA) | Frequency Response (FR) | SOFTWARE
Journal Article
Shock and Vibration, ISSN 1070-9622, 2016, Volume 2016, pp. 1 - 13
Gearboxes and induction motors are important components in industrial applications and their monitoring condition is critical in the industrial sector so as to...
ACOUSTICS | DIAGNOSIS | MECHANICS | CONDITION-BASED MAINTENANCE | SYSTEMS | MACHINE | GEAR | ENGINEERING, MECHANICAL | Induction electric motors | Vibration | Bearings (Machinery) | Mechanical properties | Fault location (Engineering) | Observations | Methods | Faults | Induction motors | Methodology | Gearboxes | Bearings | Chains | Vibration analysis | Motors | Electric motors, Induction | Enginyeria mecànica | Àrees temàtiques de la UPC | Motors elèctrics d'inducció
ACOUSTICS | DIAGNOSIS | MECHANICS | CONDITION-BASED MAINTENANCE | SYSTEMS | MACHINE | GEAR | ENGINEERING, MECHANICAL | Induction electric motors | Vibration | Bearings (Machinery) | Mechanical properties | Fault location (Engineering) | Observations | Methods | Faults | Induction motors | Methodology | Gearboxes | Bearings | Chains | Vibration analysis | Motors | Electric motors, Induction | Enginyeria mecànica | Àrees temàtiques de la UPC | Motors elèctrics d'inducció
Journal Article
Sensors (Switzerland), ISSN 1424-8220, 10/2014, Volume 14, Issue 10, pp. 18650 - 18669
Soil drought represents one of the most dangerous stresses for plants. It impacts the yield and quality of crops, and if it remains undetected for a long time,...
Drought detection | Plant water stress monitoring | Photosynthesis measurement | Transpiration dynamic | Smart sensor | CONDUCTANCE | SYSTEM | ELECTROCHEMISTRY | CHEMISTRY, ANALYTICAL | GREENHOUSE | plant water stress monitoring | SURFACE-ENERGY BALANCE | CROP WATER-STRESS | photosynthesis measurement | drought detection | TRANSPIRATION | INSTRUMENTS & INSTRUMENTATION | TREES | EVAPOTRANSPIRATION | smart sensor | INDEX | transpiration dynamic | PHOTOSYNTHESIS | Lycopersicon esculentum - growth & development | Wavelet Analysis | Droughts | Stress, Physiological | Soil | Crops, Agricultural | Lycopersicon esculentum - physiology | Stresses | Methodology | Crops | Greenhouses | Discrete Wavelet Transform | Smart sensors | Field programmable gate arrays
Drought detection | Plant water stress monitoring | Photosynthesis measurement | Transpiration dynamic | Smart sensor | CONDUCTANCE | SYSTEM | ELECTROCHEMISTRY | CHEMISTRY, ANALYTICAL | GREENHOUSE | plant water stress monitoring | SURFACE-ENERGY BALANCE | CROP WATER-STRESS | photosynthesis measurement | drought detection | TRANSPIRATION | INSTRUMENTS & INSTRUMENTATION | TREES | EVAPOTRANSPIRATION | smart sensor | INDEX | transpiration dynamic | PHOTOSYNTHESIS | Lycopersicon esculentum - growth & development | Wavelet Analysis | Droughts | Stress, Physiological | Soil | Crops, Agricultural | Lycopersicon esculentum - physiology | Stresses | Methodology | Crops | Greenhouses | Discrete Wavelet Transform | Smart sensors | Field programmable gate arrays
Journal Article
BMC Public Health, ISSN 1471-2458, 03/2016, Volume 16, Issue 1, pp. 236 - 9
Background: A body mass index (BMI) >= 30 kg/m(2) and a waist circumference (WC) >= 80 cm in women (WCF) or >= 90 cm in men (WCM) are reference cardiometabolic...
Body mass index | Waist circumference | Cardiometabolic risk | Metabolic syndrome | Central obesity | Youden's index | CHOLESTEROL | NATIONAL-HEALTH | RATIO | PREVALENCE | CHRONIC DISEASES | OBESITY | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | INSULIN-RESISTANCE | NUTRITION | CARDIOVASCULAR RISK | Body Mass Index | Reproducibility of Results | Prevalence | Cross-Sectional Studies | Mexico - epidemiology | Humans | Risk Factors | Male | Young Adult | Waist Circumference | Adolescent | Biomarkers | Cardiovascular Diseases - epidemiology | Adult | Female | Metabolic Syndrome - epidemiology | Young adults | Diabetes | Health aspects | Heart diseases | Risk factors | Public health | Youden’s index
Body mass index | Waist circumference | Cardiometabolic risk | Metabolic syndrome | Central obesity | Youden's index | CHOLESTEROL | NATIONAL-HEALTH | RATIO | PREVALENCE | CHRONIC DISEASES | OBESITY | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | INSULIN-RESISTANCE | NUTRITION | CARDIOVASCULAR RISK | Body Mass Index | Reproducibility of Results | Prevalence | Cross-Sectional Studies | Mexico - epidemiology | Humans | Risk Factors | Male | Young Adult | Waist Circumference | Adolescent | Biomarkers | Cardiovascular Diseases - epidemiology | Adult | Female | Metabolic Syndrome - epidemiology | Young adults | Diabetes | Health aspects | Heart diseases | Risk factors | Public health | Youden’s index
Journal Article
Fuel, ISSN 0016-2361, 10/2019, Volume 253, pp. 159 - 166
The main aim of this work was to study the effect of pH on lactate- and acetate-based bioH production from the dark co-fermentation of 80% tequila vinasse and...
Hydrogen-producing bacteria | Bio-hydrogen | Lactate | Dark fermentation | pH shift | Microbial community | ACID | ENERGY & FUELS | PERFORMANCE | ENGINEERING, CHEMICAL | SUGARCANE VINASSE | SUBSTRATE | PROCESS PARAMETERS | HYDROGEN-PRODUCTION | WASTEWATERS | CHEESE WHEY | Hydrogen | Nixtamalization | Green technology | Liquors | Fermentation | Hydrogen-ion concentration | Wastewater | Microorganisms | Batch reactors | Mixed culture | Propionic acid | Strategy | Lag time | Lactic acid | pH effects | Acetic acid | Vinasse
Hydrogen-producing bacteria | Bio-hydrogen | Lactate | Dark fermentation | pH shift | Microbial community | ACID | ENERGY & FUELS | PERFORMANCE | ENGINEERING, CHEMICAL | SUGARCANE VINASSE | SUBSTRATE | PROCESS PARAMETERS | HYDROGEN-PRODUCTION | WASTEWATERS | CHEESE WHEY | Hydrogen | Nixtamalization | Green technology | Liquors | Fermentation | Hydrogen-ion concentration | Wastewater | Microorganisms | Batch reactors | Mixed culture | Propionic acid | Strategy | Lag time | Lactic acid | pH effects | Acetic acid | Vinasse
Journal Article
13.
Full Text
Smart-Sensors to Estimate Insulation Health in Induction Motors via Analysis of Stray Flux
Energies, ISSN 1996-1073, 2019, Volume 12, Issue 9, p. 1658
Induction motors (IMs) are essential components in industrial applications. These motors have to perform numerous tasks under a wide variety of conditions,...
Induction motor | Stray flux | Smart-sensor | Wavelet entropy | Time-frequency transforms | wavelet entropy | induction motor | smart-sensor | time-frequency transforms | stray flux
Induction motor | Stray flux | Smart-sensor | Wavelet entropy | Time-frequency transforms | wavelet entropy | induction motor | smart-sensor | time-frequency transforms | stray flux
Journal Article
IEEE Transactions on Industrial Electronics, ISSN 0278-0046, 04/2016, Volume 63, Issue 4, pp. 2369 - 2378
The development and application of techniques and methodologies for the analysis of power quality (PQ) signals that offer a more efficient and reliable...
Empirical mode decomposition | signal analysis | Power quality | Signal processing | Electrical disturbances | Reliability | Transient analysis | Splines (mathematics) | empirical mode decomposition | power quality | INSTRUMENTS & INSTRUMENTATION | EVENTS | SINGLE | S-TRANSFORM | DISTURBANCES CLASSIFICATION | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Reliability (Engineering) | Research | Analysis | Iterative methods (Mathematics)
Empirical mode decomposition | signal analysis | Power quality | Signal processing | Electrical disturbances | Reliability | Transient analysis | Splines (mathematics) | empirical mode decomposition | power quality | INSTRUMENTS & INSTRUMENTATION | EVENTS | SINGLE | S-TRANSFORM | DISTURBANCES CLASSIFICATION | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Reliability (Engineering) | Research | Analysis | Iterative methods (Mathematics)
Journal Article
IEEE Transactions on Industrial Informatics, ISSN 1551-3203, 03/2018, Volume 14, Issue 3, pp. 1016 - 1028
Power quality (PQ) and PQ disturbances (PQD) are relevant for the industry due to the implied costs in most industrial processes. Besides, it is necessary to...
Analytical models | Time-frequency analysis | Genetic algorithms (GA) | heuristic algorithms | power quality (PQ) | Power quality | Transforms | Power system harmonics | Harmonic analysis | parameter estimation | particle swarm optimization (PSO) | Transient analysis | SINGLE | FILTER | FIREFLY ALGORITHM | CLASSIFICATION | INDEPENDENT COMPONENT ANALYSIS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | DISTRIBUTION-SYSTEMS | IMPROVEMENT | WAVELET TRANSFORM | PROBABILISTIC NEURAL-NETWORK | ENGINEERING, INDUSTRIAL | AUTOMATION & CONTROL SYSTEMS | Electric potential | Parameter estimation | Quality standards | Disturbances | Swarm intelligence | Mathematical models | Parameterization | Genetic algorithms
Analytical models | Time-frequency analysis | Genetic algorithms (GA) | heuristic algorithms | power quality (PQ) | Power quality | Transforms | Power system harmonics | Harmonic analysis | parameter estimation | particle swarm optimization (PSO) | Transient analysis | SINGLE | FILTER | FIREFLY ALGORITHM | CLASSIFICATION | INDEPENDENT COMPONENT ANALYSIS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | DISTRIBUTION-SYSTEMS | IMPROVEMENT | WAVELET TRANSFORM | PROBABILISTIC NEURAL-NETWORK | ENGINEERING, INDUSTRIAL | AUTOMATION & CONTROL SYSTEMS | Electric potential | Parameter estimation | Quality standards | Disturbances | Swarm intelligence | Mathematical models | Parameterization | Genetic algorithms
Journal Article
Fisheries Oceanography, ISSN 1054-6006, 05/2018, Volume 27, Issue 3, pp. 259 - 273
The preferential larval distributions of 22 fish species in the California Current System were identified in their temporal, spatial, and thermal domains using...
preferred habitat | geographic | early stages | upwelling ecosystem | thermal | distribution | temporal | NORTHERN BENGUELA | SPAWNING HABITATS | SMALL PELAGIC FISH | CLIMATE-CHANGE | SARDINE SARDINOPS-SAGAX | FISHERIES | BAJA-CALIFORNIA | OCEANOGRAPHY | SOUTHERN PART | PACIFIC SARDINE | ANCHOVY ENGRAULIS-ENCRASICOLUS | EL-NINO | Thermal stress | Larvae | Temperature preferences | Coastal upwelling | Ocean circulation | Spatial discrimination | Tolerance | Ontogeny | Fluxes | Parameter identification | Coastal zone | Windows (intervals) | Distribution | Upwelling | Fish | Biological production | Fish larvae | Preferences | Species
preferred habitat | geographic | early stages | upwelling ecosystem | thermal | distribution | temporal | NORTHERN BENGUELA | SPAWNING HABITATS | SMALL PELAGIC FISH | CLIMATE-CHANGE | SARDINE SARDINOPS-SAGAX | FISHERIES | BAJA-CALIFORNIA | OCEANOGRAPHY | SOUTHERN PART | PACIFIC SARDINE | ANCHOVY ENGRAULIS-ENCRASICOLUS | EL-NINO | Thermal stress | Larvae | Temperature preferences | Coastal upwelling | Ocean circulation | Spatial discrimination | Tolerance | Ontogeny | Fluxes | Parameter identification | Coastal zone | Windows (intervals) | Distribution | Upwelling | Fish | Biological production | Fish larvae | Preferences | Species
Journal Article
JOURNAL OF COUNSELING AND DEVELOPMENT, ISSN 0748-9633, 05/1989, Volume 67, Issue 9, pp. 498 - 505
Journal Article
Sensors (Switzerland), ISSN 1424-8220, 05/2013, Volume 13, Issue 5, pp. 5507 - 5527
Power quality disturbance (PQD) monitoring has become an important issue due to the growing number of disturbing loads connected to the power line and to the...
Hilbert transform | Feed forward neural network | FPGA | Smart sensor | Power quality indices | Instantaneous exponential time constant | Power quality disturbances | SYSTEM | ELECTROCHEMISTRY | CHEMISTRY, ANALYTICAL | NETWORKS | NOISE | feed forward neural network | INSTRUMENTS & INSTRUMENTATION | instantaneous exponential time constant | power quality disturbances | S-TRANSFORM | power quality indices | smart sensor
Hilbert transform | Feed forward neural network | FPGA | Smart sensor | Power quality indices | Instantaneous exponential time constant | Power quality disturbances | SYSTEM | ELECTROCHEMISTRY | CHEMISTRY, ANALYTICAL | NETWORKS | NOISE | feed forward neural network | INSTRUMENTS & INSTRUMENTATION | instantaneous exponential time constant | power quality disturbances | S-TRANSFORM | power quality indices | smart sensor
Journal Article
Nature immunology, ISSN 1529-2908, 2016, Volume 17, Issue 6, pp. 636 - 645
Group 2 innate lymphoid cells (ILC2s) secrete type 2 cytokines, which protect against parasites but can also contribute to a variety of inflammatory airway...
ADULTS | ASTHMA | IMMUNOLOGY | EXPRESSION | NASAL POLYPS | DUPILUMAB | Nasal Polyps - immunology | Rhinitis - immunology | Lymphocyte Activation | Humans | Interleukin-4 - metabolism | Th1-Th2 Balance | Cells, Cultured | Interleukin-12 - metabolism | Th2 Cells - immunology | Interferon-gamma - metabolism | Immunity, Innate | Mice, SCID | Th1 Cells - immunology | Eosinophils - immunology | Animals | Lymphocytes - immunology | Interleukin-1beta - metabolism | Sinusitis - immunology | Pneumonia - immunology | Cell Plasticity | Female | Cell Differentiation | Mice | Pulmonary Disease, Chronic Obstructive - immunology | Clinical Medicine | Lungmedicin och allergi | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap | Respiratory Medicine and Allergy
ADULTS | ASTHMA | IMMUNOLOGY | EXPRESSION | NASAL POLYPS | DUPILUMAB | Nasal Polyps - immunology | Rhinitis - immunology | Lymphocyte Activation | Humans | Interleukin-4 - metabolism | Th1-Th2 Balance | Cells, Cultured | Interleukin-12 - metabolism | Th2 Cells - immunology | Interferon-gamma - metabolism | Immunity, Innate | Mice, SCID | Th1 Cells - immunology | Eosinophils - immunology | Animals | Lymphocytes - immunology | Interleukin-1beta - metabolism | Sinusitis - immunology | Pneumonia - immunology | Cell Plasticity | Female | Cell Differentiation | Mice | Pulmonary Disease, Chronic Obstructive - immunology | Clinical Medicine | Lungmedicin och allergi | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap | Respiratory Medicine and Allergy
Journal Article