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

Steady, Laminar Flow in Circular Tubes01:23

Steady, Laminar Flow in Circular Tubes

857
Hagen-Poiseuille flow describes a viscous fluid's steady, incompressible flow through a cylindrical tube with a constant radius R. This flow profile is often applied to understand fluid transport in narrow channels, such as capillaries. It serves as a foundational example of laminar flow. In this model, cylindrical coordinates (r,θ,z) are used to describe the radial (r), angular (θ), and axial (z) dimensions within the tube. For Hagen-Poiseuille flow, the velocity profile is purely axial,...
857
Laminar Flow01:27

Laminar Flow

2.0K
Laminar flow represents a smooth, orderly fluid motion where particles move along parallel paths, resulting in minimal mixing between layers. Streamlined particle paths characterize this flow regime and occur under conditions where viscous forces dominate over inertial forces. The distinction between laminar, transitional, and turbulent flow is primarily determined by the Reynolds number, a dimensionless quantity calculated as:
2.0K
Pipe Flowrate Measurement01:28

Pipe Flowrate Measurement

1.1K
In pipe flow measurement, orifice, nozzle, and Venturi meters are commonly used to determine fluid flowrates by constricting the flow area, which increases fluid velocity and reduces pressure. This pressure difference, governed by Bernoulli's principle and adjusted for real-world conditions, is essential for calculating flowrate. Each meter type is suited to specific applications based on accuracy, efficiency, and compatibility with various flow conditions.
The orifice meter is a simple,...
1.1K
Measurement of Fluid Pressure01:16

Measurement of Fluid Pressure

506
Fluid pressure is commonly measured using devices called manometers, which rely on liquid columns to indicate pressure differences. The height of a liquid column in a manometer reflects the pressure exerted by the fluid, providing a simple yet effective means of measurement. Different types of manometers serve specific purposes based on their configurations and the type of fluids involved.
A basic form of manometer is the piezometer, a vertical tube open at the top and filled with the same...
506
Laminar Flow: Problem Solving01:24

Laminar Flow: Problem Solving

433
Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...
433

You might also read

Related Articles

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

Sort by
Same author

Physiological comparison of noninvasive ventilation and high-flow nasal oxygen on inspiratory efforts and tidal volumes after extubation: a randomized crossover trial.

Critical care (London, England)·2025
Same author

Real-Time Speed Estimation for an Induction Motor: An Automated Tuning of an Extended Kalman Filter Using Voltage-Current Sensors.

Sensors (Basel, Switzerland)·2024
Same author

Comparative Study between Physics-Informed CNN and PCA in Induction Motor Broken Bars MCSA Detection.

Sensors (Basel, Switzerland)·2022
Same author

Transient Detection of Rotor Asymmetries in Squirrel-Cage Induction Motors Using a Model-Based Tacholess Order Tracking.

Sensors (Basel, Switzerland)·2022
Same author

Mechanical Fault Diagnostic in PMSM from Only One Current Measurement: A Tacholess Order Tracking Approach.

Sensors (Basel, Switzerland)·2020
Same author

A new modified sliding window empirical mode decomposition technique for signal carrier and harmonic separation in non-stationary signals: Application to wind turbines.

ISA transactions·2019
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: Dec 23, 2025

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
05:11

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

Published on: June 27, 2025

515

Software Sensor for Airflow Modulation and Noise Detection by Cyclostationary Tools.

Mohamad Alkoussa Dit Albacha1, Laurent Rambault1, Anas Sakout2

  • 1Laboratoire d'Informatique et Automatique des Systemes, University of Poitiers, 75016 Poitiers, France.

Sensors (Basel, Switzerland)
|April 29, 2020
PubMed
Summary
This summary is machine-generated.

This study models low-speed turbulent airflow noise using cyclostationary analysis of audio signals. It introduces a software sensor for real-time noise frequency detection, enabling airflow estimation and noise reduction.

Keywords:
acoustic measurementscyclostationarityfluid flow measurementssoftware sensorturbulent machine

More Related Videos

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

794
Additive Manufacturing-Enabled Low-Cost Particle Detector
06:05

Additive Manufacturing-Enabled Low-Cost Particle Detector

Published on: March 24, 2023

2.1K

Related Experiment Videos

Last Updated: Dec 23, 2025

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
05:11

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

Published on: June 27, 2025

515
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

794
Additive Manufacturing-Enabled Low-Cost Particle Detector
06:05

Additive Manufacturing-Enabled Low-Cost Particle Detector

Published on: March 24, 2023

2.1K

Area of Science:

  • Acoustics
  • Fluid Dynamics
  • Signal Processing

Background:

  • Low-speed airflow from turbulent machines generates environmental noise disturbances due to flow instabilities.
  • Characterizing and mitigating this noise is crucial for improving environmental quality and system performance.

Purpose of the Study:

  • To develop methods for modeling low-speed turbulent airflow noise.
  • To utilize cyclostationary tools and audio signal analysis for noise frequency detection and elimination.
  • To create a real-time software sensor for airflow estimation and noise control.

Main Methods:

  • Application of cyclostationary analysis to audio signals from turbulent airflow.
  • Real-time extraction of noise-related frequencies.
  • Development and validation of a software sensor using an experimental setup.

Main Results:

  • Successful modeling of low-speed turbulent airflow noise.
  • Effective real-time identification of noise-generating frequencies.
  • Demonstration of a software sensor capable of airflow estimation and noise control.

Conclusions:

  • Cyclostationary analysis is a powerful tool for characterizing airflow noise.
  • The developed software sensor shows potential for practical applications in noise reduction and flow monitoring.
  • The study provides a foundation for advanced control systems targeting aerodynamic noise.