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Related Concept Videos

Frames: Problem Solving I01:24

Frames: Problem Solving I

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Consider a jib crane with an external load suspended from the pulley. The dimensions of the crane members are shown in the figure. A systematic analysis of the frame structure is required to determine the reaction forces at the pin joints, assuming that the pulleys are frictionless.
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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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The analysis of suspension bridges is a complex and critical process that involves multiple factors, including the shape and tension of the main cables. The main cables of suspension bridges are subjected to distributed loads, which result in changes in tensile forces and deformation of the cable. These loads must be carefully considered to ensure that the bridge is safe and capable of supporting the weight of different loads.
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Multi-Gene Genetic Programming-Based Identification of a Dynamic Prediction Model of an Overhead Traveling Crane.

Sensors (Basel, Switzerland)·2022
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Soft-Computing-Based Estimation of a Static Load for an Overhead Crane.

Tom Kusznir1, Jaroslaw Smoczek1

  • 1Department of Manufacturing Systems, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
Summary

This study estimates crane payload weight using girder strain and trolley position, avoiding traditional load cells. Soft-computing methods like genetic programming offer accurate, efficient alternatives for industrial automation.

Keywords:
genetic programmingidentificationoverhead cranepayload estimationsparse regressionsubtractive fuzzy clustering

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Area of Science:

  • Engineering
  • Artificial Intelligence
  • Industrial Automation

Background:

  • Payload weight detection is crucial for crane condition monitoring and automation.
  • Traditional load cells can be costly or impossible to install on hoisting equipment.
  • Indirect methods using existing sensors offer a viable alternative for payload estimation.

Purpose of the Study:

  • To estimate static payload weight indirectly using crane girder strain and trolley position.
  • To apply soft-computing techniques for deriving nonlinear input-output relationships.
  • To compare the performance of different data-driven identification methods.

Main Methods:

  • Utilized grammar-guided genetic programming with sparse regression.
  • Employed multi-gene genetic programming.
  • Applied subtractive fuzzy clustering with the least squares algorithm.
  • Used experimental data from a laboratory overhead crane.

Main Results:

  • Multi-gene genetic programming and grammar-guided genetic programming with sparse regression showed similar, high accuracy.
  • Both genetic programming variants outperformed subtractive fuzzy clustering.
  • The novel grammar-guided approach yielded a more parsimonious model with lower execution time.

Conclusions:

  • Soft-computing techniques, particularly genetic programming variants, effectively estimate crane payload weight indirectly.
  • These data-driven methods provide accurate and efficient alternatives to traditional load cells.
  • The developed models offer practical solutions for crane automation and condition monitoring.