Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

This Issue’s Paper Share

2024

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Authors: Wan Dang, Zhang Chong, Wang Jinwen

Abstract: To accurately and conveniently conduct crane wheel pressure testing, this paper develops a wheel pressure detection sample based on the strain-wheel pressure model. The strain generated under the crane wheel is used to build a neural network model, and the strain data is imported into the neural network for training. The trained model is then used to infer the crane wheel pressure. Experimental results show that using the neural network method for crane wheel pressure detection is feasible.

Keywords: Crane; Wheel Pressure; Strain Sensor; Neural Network; Detection

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

– END –

Related posts

  1. Getting Started with the Airborne Board: Warm Water Mixing Assistant
  2. Understanding Automotive Sensor Classification
  3. Youth Level Examination (Robot Technology) – Examination Process
  4. Innovative Sensor Networks Using Winged Microchips
  5. Visualization and Analysis Tools for Neural Network Models in C++
  6. Mixed Precision Computation of Neural Network Models in C++
  7. Playing Simple Scores with a Buzzer Using C Language
  8. Understanding For Loops and Range-Based For Statements in C++
  9. Basic Knowledge of LED Display Screens
  10. DIY Phosphorescence Detector and Arduino Nano Controlled Mini Plotter
  11. Flexible Smart Medical Platform for Gas and Pressure Sensing Assembled from 3D Conductive MOF Networks
  12. Ultimate Guide to AFMotor Motor Expansion Board for Arduino
  13. Real Test of STM32 RTC: No Calibration for Six Months, Fast by 13 Minutes
  14. A Review of Open Source Projects for Embedded GUI Design
  15. Structured Bindings and Initializer Lists in C++17
  16. Practical Guide to Developing a Network Chat Application in C++
  17. Function Pointers and Callback Mechanism in C++: Write More Flexible Code
  18. Skills for Judgment Reasoning Module in Civil Service Exams
  19. MySensors: A Powerful Open Source IoT Platform for Building Sensor Networks

Leave a Comment