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

Wind Turbine Machine Models01:24

Wind Turbine Machine Models

638
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...
638
Three-Phase Short Circuit—Unloaded Synchronous Machine01:21

Three-Phase Short Circuit—Unloaded Synchronous Machine

762
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...
762
The Swing Equation01:21

The Swing Equation

1.4K
The Swing Equation is a fundamental tool in power system dynamics, especially for analyzing the behavior of generating units like three-phase synchronous generators. This equation emerges from applying Newton's second law to the rotor of a generator, encompassing factors such as inertia, angular acceleration, and the interplay between mechanical and electrical torques.
In a steady-state operation, the mechanical torque (Τm) supplied to the generator is balanced by the electrical torque (Τe)...
1.4K
Torque On A Current Loop In A Magnetic Field01:13

Torque On A Current Loop In A Magnetic Field

6.1K
The most common application of magnetic force on current-carrying wires is in electric motors. These consist of loops of wire, which are placed between the magnets with a magnetic field. When current flows through the loops, the magnetic field applies torque, which causes the shaft to rotate, thus converting electrical energy to mechanical energy.
Consider a rectangular current-carrying loop containing N turns of wire, placed in a uniform magnetic field. The net force on a current-carrying loop...
6.1K
Three-Winding Transformers01:19

Three-Winding Transformers

834
Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
In the per-unit equivalent circuit of a grounded Y-Y three-phase...
834
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

831
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
831

You might also read

Related Articles

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

Sort by
Same author

Engineering a Thiamine-Dependent Benzoylformate Decarboxylase for Stereodivergent Radical C(sp<sup>3</sup>)-C(sp<sup>3</sup>) Bond Formation.

Journal of the American Chemical Society·2026
Same author

A study on the prognosis of patients with sepsis or septic shock based on plasma proenkephalin levels: a meta-analysis.

Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals·2026
Same author

Association Between Mental Health Literacy and Its Dimensions with Adolescent Depression and Anxiety: A Cross-Sectional Study Among 5759 Adolescents in China.

Behavioral sciences (Basel, Switzerland)·2026
Same author

Gut microbiota dysbiosis and short-chain fatty acid alterations in pediatric new-onset type 1 diabetes with ketoacidosis.

Journal of endocrinological investigation·2026
Same author

Integrated stealth-sensing fiber-optic sensor via Dirac-cone phononic crystal.

Optics express·2026
Same author

Atomically Regulated Symmetry-Breaking Sulfur-Bridged Dual Iron Sites Catalyst for High-Performance Oxygen Reduction Reaction.

Angewandte Chemie (International ed. in English)·2026

Related Experiment Video

Updated: Mar 2, 2026

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

2.2K

Wind Turbine Diagnosis under Variable Speed Conditions Using a Single Sensor Based on the Synchrosqueezing Transform

Yanjie Guo1, Xuefeng Chen2, Shibin Wang3

  • 1School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China. guoyanjie@mail.xjtu.edu.cn.

Sensors (Basel, Switzerland)
|May 20, 2017
PubMed
Summary

This study introduces an improved fault diagnosis method for wind turbine gearboxes, combining synchrosqueezing transform and local mean decomposition. The technique effectively reduces noise and enhances time-frequency accuracy for diagnosing these critical components.

Keywords:
local mean decomposition (LMD)synchrosqueezing transformvibration signal under variable speed conditionwind turbine

More Related Videos

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

9.2K
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.5K

Related Experiment Videos

Last Updated: Mar 2, 2026

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

2.2K
Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

9.2K
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.5K

Area of Science:

  • Mechanical Engineering
  • Signal Processing
  • Renewable Energy Systems

Background:

  • Wind turbine gearboxes are critical components prone to faults.
  • Gearbox fault signals are often non-stationary, noisy, and exhibit complex amplitude-modulated (AM) and frequency-modulated (FM) characteristics.
  • Accurate fault diagnosis is essential for reliable wind turbine operation.

Purpose of the Study:

  • To develop an effective fault diagnosis method for wind turbine gearboxes.
  • To address the challenges posed by non-stationary and noisy fault signals.
  • To improve the accuracy of time-frequency representations for fault detection.

Main Methods:

  • An improved fault diagnosis method combining synchrosqueezing transform and local mean decomposition was developed.
  • The method was applied to analyze non-real-time signals.
  • Simulated signals and practical vibration data from a 1.5 MW wind turbine were used for validation.

Main Results:

  • The proposed method effectively reduces noise contamination in gearbox vibration signals.
  • It preserves essential signal characteristics, crucial for non-stationary data analysis.
  • The technique enhances the accuracy of time-frequency representations.

Conclusions:

  • The combined synchrosqueezing transform and local mean decomposition method offers a robust solution for wind turbine gearbox fault diagnosis.
  • This approach is suitable for analyzing signals with high noise levels and non-stationary properties.
  • The validated method improves diagnostic accuracy and noise control in wind turbine condition monitoring.