Related references
Note: Only part of the references are listed.Virtual reality learning environment for enhancing electronics engineering laboratory experience
Gurjinder Singh et al.
COMPUTER APPLICATIONS IN ENGINEERING EDUCATION (2021)
A review of the evidence for training effectiveness with virtual reality technology
Julian Abich et al.
VIRTUAL REALITY (2021)
Immersive virtual-reality computer-assembly serious game to enhance autonomous learning
David Checa et al.
VIRTUAL REALITY (2021)
Condition monitoring strategy based on an optimized selection of high-dimensional set of hybrid features to diagnose and detect multiple and combined faults in an induction motor
Juan Jose Saucedo-Dorantes et al.
MEASUREMENT (2021)
Sensorless Speed Estimation for the Diagnosis of Induction Motors via MCSA. Review and Commercial Devices Analysis
Jorge Bonet-Jara et al.
SENSORS (2021)
Virtual reality opportunities in the reduction of occupational hazards in Industry 4.0
David Checa Cruz et al.
DYNA (2021)
The use of a virtual reality training system to improve technical skill in the maintenance of live-line power distribution networks
Miguel Perez-Ramirez et al.
INTERACTIVE LEARNING ENVIRONMENTS (2021)
Motor Current Signature Analysis-based Non-invasive Recognition of Mixed Eccentricity Fault in Line Start Permanent Magnet Synchronous Motor
Mahdi Karami et al.
ELECTRIC POWER COMPONENTS AND SYSTEMS (2021)
Virtual Reality-Based Training: Case Study in Mechatronics
Dorota Kaminska et al.
TECHNOLOGY KNOWLEDGE AND LEARNING (2021)
A review of immersive virtual reality serious games to enhance learning and training
David Checa et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2020)
The Application of the Bispectrum Analysis to Detect the Rotor Unbalance of the Induction Motor Supplied by the Mains and Frequency Converter
Pawel Ewert
ENERGIES (2020)
Early and extremely early multi-label fault diagnosis in induction motors
Mario Juez-Gil et al.
ISA TRANSACTIONS (2020)
Performance Analysis of Axial-Flux Induction Motor with Skewed Rotor
Fatma Keskin Arabul et al.
ENERGIES (2020)
A Scoping Review on Virtual Reality-Based Industrial Training
Jose E. Naranjo et al.
APPLIED SCIENCES-BASEL (2020)
Condition Monitoring and Fault Diagnosis of Induction Motors: A Review
Anurag Choudhary et al.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2019)
A Review of the Monitoring and Damping Unbalanced Magnetic Pull in Induction Machines Due to Rotor Eccentricity
Ahmad A. Salah et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2019)
Broken rotor bar fault detection of the grid and inverter-fed induction motor by effective attenuation of the fundamental component
Bilal Asad et al.
IET ELECTRIC POWER APPLICATIONS (2019)
Demodulation Technique for Broken Rotor Bar Detection in Inverter-Fed Induction Motor Under Non-Stationary Conditions
Tomas Alberto Garcia-Calva et al.
IEEE TRANSACTIONS ON ENERGY CONVERSION (2019)
A training system for Industry 4.0 operators in complex assemblies based on virtual reality and process mining
Juan Jesus Roldan et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2019)
An empirical study of the effect that a computer graphics course has on visual-spatial abilities
Jose Saul Gonzalez Campos et al.
INTERNATIONAL JOURNAL OF EDUCATIONAL TECHNOLOGY IN HIGHER EDUCATION (2019)
Effects of Different Types of Virtual Reality Display on Presence and Learning in a Safety Training Scenario
Fabio Buttussi et al.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2018)
Induction motor broken rotor bar fault detection techniques based on fault signature analysis - a review
Ola E. Hassan et al.
IET ELECTRIC POWER APPLICATIONS (2018)
Virtual Reality Learning Activities for Multimedia Students to Enhance Spatial Ability
Rafael Molina-Carmona et al.
SUSTAINABILITY (2018)
Drivetrain Gearbox Fault Diagnosis VIBRATION- AND CURRENT-BASED APPROACHES
Xiaohang Jin et al.
IEEE INDUSTRY APPLICATIONS MAGAZINE (2018)
A review of the use of virtual reality head-mounted displays in education and training
Lasse Jensen et al.
EDUCATION AND INFORMATION TECHNOLOGIES (2018)
A review and comparison of fault detection and diagnosis methods for squirrel-cage induction motors: State of the art
Yiqi Liu et al.
ISA TRANSACTIONS (2017)
Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain
Juan Jose Saucedo-Dorantes et al.
SHOCK AND VIBRATION (2016)
Virtual reality training system for maintenance and operation of high-voltage overhead power lines
Andres Ayala Garcia et al.
VIRTUAL REALITY (2016)
Virtual Reality Applications for Stress Management Training in the Military
Federica Pallavicini et al.
AEROSPACE MEDICINE AND HUMAN PERFORMANCE (2016)
Gear Tooth Surface Damage Fault Detection Using Induction Machine Stator Current Space Vector Analysis
Shahin Hedayati Kia et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)
Experimental Investigation of Misalignment Effects on Rotor Shaft Vibration and on Stator Current Signature
Alok Kumar Verma et al.
JOURNAL OF FAILURE ANALYSIS AND PREVENTION (2014)
Virtual reality and its military utility
Ajey Lele
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2013)
Educational virtual environments: A ten-year review of empirical research (1999-2009)
Tassos A. Mikropoulos et al.
COMPUTERS & EDUCATION (2011)