Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Three-Phase Short Circuit—Unloaded Synchronous Machine01:21

Three-Phase Short Circuit—Unloaded Synchronous Machine

132
Conducting a three-phase short circuit test on an unloaded synchronous machine helps understand its impact on the system. The AC fault current's oscillogram, with the DC offset removed, reveals that the waveform amplitude decreases from an initially high value to a steady-state level for one phase of the machine.
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
132
Faraday Disk Dynamo01:23

Faraday Disk Dynamo

2.1K
A Faraday disk dynamo is a DC generator, producing an emf that is constant in time. It consists of a conducting disk that rotates with a constant angular velocity in the magnetic field, perpendicular to the disk's plane. The rotation of the disk causes a change in magnetic flux, which induces an emf, causing opposite charges to develop on the rim and in the center of the disk. The polarity of the induced emf can be determined by the direction of the magnetic field and the direction of the...
2.1K
Induction01:16

Induction

4.0K
An emf is induced when the magnetic field in a coil is changed by pushing a bar magnet into or out of the coil. emfs of opposite signs are produced by motion in opposite directions, and the directions of emfs are also reversed by reversing poles. The same results are produced if the coil is moved rather than the magnet—it is the relative motion that is important. The faster the motion, the greater the emf. Additionally, there is no emf when the magnet is stationary relative to the coil.
A...
4.0K
Eddy Currents01:25

Eddy Currents

1.5K
Since eddy currents occur only in conductors, magnets can separate metals from other materials. For example, in a recycling center, trash is dumped in batches down a ramp, beneath which lies a powerful magnet. Conductors in the trash are slowed by eddy currents, while nonmetals in the trash move on, separating from the metals. This works for all metals, not just ferromagnetic ones.
Other major applications of eddy currents appear in metal detectors and the braking systems of trains and roller...
1.5K
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

116
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
116
Electro-mechanical Systems01:19

Electro-mechanical Systems

931
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
931

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

An Enhanced TK Technology for Bearing Fault Detection Using Vibration Measurement.

Sensors (Basel, Switzerland)·2025
Same author

Smart Sensor-Based Monitoring Technology for Machinery Fault Detection.

Sensors (Basel, Switzerland)·2024
Same author

A New Monitoring Technology for Bearing Fault Detection in High-Speed Trains.

Sensors (Basel, Switzerland)·2023
Same author

Development of a Smart Clinical Bluetooth Thermometer Based on an Improved Low-Power Resistive Transducer Circuit.

Sensors (Basel, Switzerland)·2022
Same author

Power-Saving Design of Radio Frequency Identification Sensor Networks in Bus Seatbelt Monitoring Systems.

Sensors (Basel, Switzerland)·2020
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 14, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K

A Modified EMD Technique for Broken Rotor Bar Fault Detection in Induction Machines.

Md Shamsul Arifin1, Wilson Wang2, Mohammad Nasir Uddin1

  • 1Department of Electrical and Computer Engineering, Lakehead University, GC Campus, Barrie, ON L4M 3X9, Canada.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a modified empirical mode decomposition (MEMD) technique for detecting broken rotor bar (BRB) faults in induction machines (IMs). MEMD effectively identifies BRB faults using motor current signature analysis, enhancing industrial safety and performance.

Keywords:
empirical mode decompositioninduction machinesmotor current signature analysisrotor bar fault detectionsmart current sensorsspectral operation

More Related Videos

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
10:52

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing

Published on: March 8, 2020

5.8K
Author Spotlight: Studying Biomechanics of Circulating Cells by Modulating Their Electrodeformation Behavior
09:45

Author Spotlight: Studying Biomechanics of Circulating Cells by Modulating Their Electrodeformation Behavior

Published on: October 13, 2023

1.5K

Related Experiment Videos

Last Updated: Jun 14, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K
Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing
10:52

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing

Published on: March 8, 2020

5.8K
Author Spotlight: Studying Biomechanics of Circulating Cells by Modulating Their Electrodeformation Behavior
09:45

Author Spotlight: Studying Biomechanics of Circulating Cells by Modulating Their Electrodeformation Behavior

Published on: October 13, 2023

1.5K

Area of Science:

  • Electrical Engineering
  • Mechanical Engineering
  • Industrial Monitoring

Background:

  • Induction machines (IMs) are critical in industrial applications, and early detection of defects like broken rotor bars (BRBs) is vital for preventing performance degradation and ensuring safety.
  • BRB faults can lead to significant issues including overheating, vibration, acoustic noise, and potential sparking, necessitating reliable detection methods.

Purpose of the Study:

  • To propose and validate a modified empirical mode decomposition (MEMD) technique for accurate broken rotor bar (BRB) fault detection in induction machines.
  • To utilize motor current signature analysis (MCSA) combined with MEMD for enhanced fault diagnosis.

Main Methods:

  • Development of a smart sensor-based data acquisition (DAQ) system for wireless current signal collection.
  • Application of a modified empirical mode decomposition (MEMD) technique involving correlation-based IMF selection and adaptive spectral analysis.
  • Introduction of a novel reference function for analytical fault index generation and severity diagnosis.

Main Results:

  • The proposed MEMD technique successfully identified BRB faults in induction machines.
  • Experimental verification demonstrated the effectiveness of the MEMD approach in fault detection and severity assessment.
  • The developed DAQ system facilitated efficient and wireless data collection for analysis.

Conclusions:

  • The modified empirical mode decomposition (MEMD) technique offers a robust and effective solution for broken rotor bar (BRB) fault detection in induction machines.
  • The integration of MEMD with motor current signature analysis provides a powerful tool for industrial condition monitoring.
  • The study highlights the potential of advanced signal processing techniques for improving the reliability and safety of industrial machinery.