Jove
Visualize
Contact Us

Related Concept Videos

Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

13.4K
Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
13.4K
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

460
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
460
Machines: Problem Solving II01:30

Machines: Problem Solving II

294
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
294
Elastic Collisions: Introduction01:00

Elastic Collisions: Introduction

12.2K
An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
12.2K
Free-body Diagrams: Problem Solving01:30

Free-body Diagrams: Problem Solving

604
Free-body diagrams are essential tools for physicists and engineers studying the motion of objects. Free-body diagrams are graphical representations of the object or system under consideration, and they focus solely on the essential forces acting on the object. This tool helps break down complex problems into simpler models that are easier to understand and solve.
For example, consider a block with a mass of 10 kg released on an inclined plane at an angle of 30° to the horizontal, where...
604
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

625
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
625

You might also read

Related Articles

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

Sort by
Same author

Optimal Sensor Placement for Vibration-Based Damage Localization Using the Transmittance Function.

Sensors (Basel, Switzerland)·2024
Same author

Model-Based Damage Localization Using the Particle Swarm Optimization Algorithm and Dynamic Time Wrapping for Pattern Recreation.

Sensors (Basel, Switzerland)·2023
Same author

Vibration-Based Damage Detection Using Finite Element Modeling and the Metaheuristic Particle Swarm Optimization Algorithm.

Sensors (Basel, Switzerland)·2022
See all related articles
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 Experiment Video

Updated: Jun 3, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K

Damage Detection and Identification on Elevator Systems Using Deep Learning Algorithms and Multibody Dynamics Models.

Josef Koutsoupakis1, Dimitrios Giagopoulos1, Panagiotis Seventekidis1

  • 1School of Mechanical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

Sensors (Basel, Switzerland)
|January 11, 2025
PubMed
Summary

This study introduces a novel approach for elevator damage detection using deep learning and vibration data. The method combines simulation data with real-world measurements for accurate structural health monitoring.

Keywords:
data acquisitiondeep learningmultibody dynamicssignal analysisstructural healthy monitoring

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K
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

Related Experiment Videos

Last Updated: Jun 3, 2025

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K
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

Area of Science:

  • Mechanical Engineering
  • Artificial Intelligence
  • Structural Health Monitoring

Background:

  • Timely damage detection in mechanical systems is crucial for preventing catastrophic failures and optimizing maintenance schedules.
  • Existing signal analysis methods for anomaly detection often struggle with scarce or non-existent data.
  • Elevator systems require robust structural health monitoring to ensure safety and operational efficiency.

Purpose of the Study:

  • To develop a novel approach for damage detection and identification in elevator systems.
  • To address the challenge of limited vibration data in real-world applications.
  • To create an effective structural health monitoring tool for elevators.

Main Methods:

  • Combining physical vibration measurements with high-fidelity multibody dynamics models.
  • Utilizing deep learning algorithms, including an ensemble of autoencoders and convolutional neural networks.
  • Generating high-quality training data through multibody dynamics simulations.
  • Developing and integrating a dedicated data acquisition system with an elevator cabin.

Main Results:

  • The developed framework accurately identifies damages within the elevator system.
  • The methodology demonstrates the potential for effective condition monitoring.
  • The approach successfully trains deep learning models using a combination of simulated and real-world data.

Conclusions:

  • The novel approach offers a powerful tool for structural health monitoring in elevator systems.
  • This methodology can significantly reduce the time and effort required for manual damage localization.
  • The integration of simulation data and deep learning enhances damage detection capabilities in data-scarce environments.