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

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

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

Sensors (Basel, Switzerland)·2024
Same author

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

Sensors (Basel, Switzerland)·2023
Same author

A New Recursive Trigonometric Technique for FPGA-Design Implementation.

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 27, 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

Smart Sensor-Based Monitoring Technology for Machinery Fault Detection.

Ming Zhang1, Xing Xing2, Wilson Wang2

  • 1Automotive Engineering Department, Weifang Institute of Engineering, Qingzhou 262501, China.

Sensors (Basel, Switzerland)
|April 27, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a smart sensor system and a modified variational mode decomposition (MVMD) technique for real-time bearing fault detection. The system effectively identifies bearing defects, enabling early warnings to prevent machine degradation and reduce maintenance costs.

Keywords:
bearing fault detectiondata acquisitionsmart sensorsvariational mode decompositionvibration signal analysis

More Related Videos

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools
16:05

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools

Published on: October 1, 2007

7.5K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K

Related Experiment Videos

Last Updated: Jun 27, 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
Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools
16:05

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools

Published on: October 1, 2007

7.5K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K

Area of Science:

  • Mechanical Engineering
  • Condition Monitoring
  • Signal Processing

Background:

  • Rolling element bearings are crucial for rotary machine shaft support.
  • Bearing defects are a primary cause of machine performance issues.
  • Reliable condition monitoring is essential for industrial machinery to prevent failures and reduce costs.

Purpose of the Study:

  • To develop a smart monitoring system for real-time bearing fault detection and diagnostics.
  • To create a wireless data acquisition (DAQ) system for vibration signal collection.
  • To propose a modified variational mode decomposition (MVMD) technique for enhanced fault analysis.

Main Methods:

  • Development of a smart sensor-based data acquisition (DAQ) system for wireless vibration data.
  • Application of a modified variational mode decomposition (MVMD) technique for nonstationary signal analysis.
  • Utilizing correlation kurtosis for IMF selection, analytical signal construction, and envelope spectrum analysis for feature identification and fault prediction.

Main Results:

  • Successful development of a wireless DAQ system for vibration signal collection.
  • Implementation of MVMD for effective decomposition and analysis of bearing vibration signals.
  • Experimental validation demonstrating the capability to identify bearing fault features and predict faults.

Conclusions:

  • The developed smart sensor DAQ system and MVMD technique are effective for real-time bearing fault detection.
  • The proposed method provides an early warning system for bearing defects.
  • This approach can significantly contribute to preventing machine performance degradation and reducing maintenance expenses.