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Utilizing infrared and power quality techniques to diagnose and re-commission 33 old power, lighting & receptacles panels and distribution transformers at the New Jersey international & bulk mail center
Impacts of Second-, Third-, and Fifth-Order Harmonics on the Thermal Behavior of IE2-, IE3-, and IE4-Class Electric Motors in Grounded Star and Triangle Connections
Conversion of non-edible Baobab oil as an alternative cooling medium in transformers and practicability analysis of ageing using Euler’s method and artificial neural network
Three-dimensional video imaging of dynamic temperature field of transparent objects recorded by a single-view parallel phase-shifting digital holography
Development of a diagnosis tool, based on deep learning algorithms and infrared images, applicable to condition monitoring of induction motors under transient regime
Asymmetrical Fault Detection in Induction Motors Through Elimination of Load Torque Oscillations Effects in the Slight Speed Variations and Steady-State Conditions
Power Electric Transformer Fault Diagnosis Based on Infrared Thermal Images Using Wasserstein Generative Adversarial Networks and Deep Learning Classifier
Detection and Localization of Rotor Winding Inter-Turn Short Circuit Fault in DFIG Using Zero-Sequence Current Component Under Variable Operating Conditions
A Literature-Based Comparative Study of Human Intelligence and Artificial Intelligence in Fault Diagnosis of Industrial Machines: Moving Toward Augmented Intelligence
Metodología de diagnóstico de motores de inducción alimentados por convertidor para la detección de fallos incipientes: basada en conjuntos pequeños de datos y clases desequilibradas
Intelligent Expert System for Diagnosing Faults and Assessing Quality of Power Transformer Insulation Oil by DGA Method
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