Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Three-Dimensional Force System

Three-Dimensional Force System

In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...

Two-Dimensional Force System

Two-Dimensional Force System

A two-dimensional system in mechanical engineering involves the analysis of motion and forces in a plane. A two-dimensional force vector can be resolved into its components as:

Three-Dimensional Force System:Problem Solving

Three-Dimensional Force System:Problem Solving

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...

Two-Dimensional Force System: Problem Solving

Two-Dimensional Force System: Problem Solving

Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...

One-Degree-of-Freedom System

One-Degree-of-Freedom System

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...

Calibration Curves: Linear Least Squares

Calibration Curves: Linear Least Squares

A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...

You might also read

Related Articles

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

Sort by

Same author

A Clustering-Based Grey Modeling Approach for Tacrolimus Concentration Prediction Under Sparse Therapeutic Drug Monitoring.

Therapeutic drug monitoring·2026

Same author

Berberine and Lignin Coassembled Nanotubes As Multifunctional Controlled Drug Delivery System.

Biomacromolecules·2026

Same author

Mapping Research on Virtual Reality for Balance, Coordination, and Motor Rehabilitation: A Bibliometric Analysis with Topic Modeling.

Healthcare (Basel, Switzerland)·2026

Same author

Comprehensive analysis of learning curve and surgical outcomes of endoscopic thyroidectomy for papillary thyroid carcinoma: a prospective study.

Langenbeck's archives of surgery·2026

Same author

Bidirectional regulation of social memory by two distinct types of GABAergic neurons in the lateral septum.

Nature communications·2026

Same author

Determinants of expert-advised antibiotic indication in pediatric emergency department, data from a cross-sectional prevalence survey.

BMC pediatrics·2026

Search research articles

Related Experiment Video

Updated: Sep 5, 2025

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

A Temperature Compensation Method for aSix-Axis Force/Torque Sensor Utilizing Ensemble hWOA-LSSVM Based on Improved

Xuhao Li^1,2, Lifu Gao^2,3, Huibin Cao²

¹Institutes of Physical Science and Information Technology, Anhui University, Hefei 230093, China.

Sensors (Basel, Switzerland)

|July 9, 2022

Summary

This study introduces an ensemble temperature compensation method for six-axis force/torque (F/T) sensors. The novel approach significantly enhances sensor precision and stability in extreme environments by reducing temperature-induced errors.

Keywords:

bagging least square support vector machine six-axis force/torque sensor temperature compensation whale optimization algorithm

More Related Videos

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

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

Force and Position Control in Humans - The Role of Augmented Feedback

Force and Position Control in Humans - The Role of Augmented Feedback

Published on: June 19, 2016

Related Experiment Videos

Last Updated: Sep 5, 2025

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

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

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

Force and Position Control in Humans - The Role of Augmented Feedback

Force and Position Control in Humans - The Role of Augmented Feedback

Published on: June 19, 2016

Area of Science:

Robotics and Control Systems
Sensor Technology
Machine Learning Applications

Background:

Six-axis force/torque (F/T) sensors exhibit performance degradation in extreme environments due to temperature sensitivity.
Accurate F/T sensing is critical for applications requiring precise force and torque measurements.

Purpose of the Study:

To develop an advanced ensemble temperature compensation method for F/T sensors.
To improve the precision and stability of F/T sensors operating under varying ambient temperatures.

Main Methods:

An ensemble method combining whale optimization algorithm (WOA) tuned least-square support vector machine (LSSVM) with trimmed bagging was proposed.
The WOA was hybridized with simulated annealing (SA) to mitigate local entrapment issues.
An adaptive trimming strategy and inverse quote error (invQE) with cross-validation were used for enhanced training.

Main Results:

The maximum absolute temperature-induced measurement error was reduced from 3.34% to 3.9×10-3% of full scale.
The proposed hWOA-LSSVM ensemble method demonstrated significant improvements in F/T sensor precision and stability.
Experimental analyses confirmed the method's effectiveness and adaptability.

Conclusions:

The developed ensemble temperature compensation method effectively addresses the performance limitations of F/T sensors in extreme environments.
The integration of WOA, LSSVM, and trimmed bagging offers a robust solution for enhancing sensor accuracy and reliability.
The method showcases strong local search capabilities and adaptability, making it suitable for demanding applications.