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General plane motion, often observed in a rolling wheel, refers to a type of movement where the wheel is simultaneously rotating and translating. This complex motion can be understood by breaking it down into individual components.
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A weighted fuzzy inference method and application on wheel damage analysis.

QingE Wu1, Fan Wu2, Bofeng Zhang3

  • 1School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, 201209, China. qewu@sspu.edu.cn.

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|December 29, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an interval valued fuzzy inference method for detecting wheel damage using sound analysis. The approach enhances accuracy and robustness in identifying damage severity, improving safety and reducing economic losses.

Keywords:
Dual thresholdInterval valued fuzzy inferenceOWA operatorSimilarity degreeSound discrimination

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Area of Science:

  • Engineering
  • Artificial Intelligence
  • Materials Science

Background:

  • Wheel damage poses significant safety risks and economic losses.
  • Current detection methods may lack accuracy and robustness.

Purpose of the Study:

  • To propose an interval valued fuzzy inference-based sound analysis method for wheel damage detection.
  • To enhance the accuracy, speed, and robustness of wheel damage assessment.

Main Methods:

  • Defined interval valued fuzzy sets to represent damage severity levels.
  • Developed a similarity calculation method for damage assessment.
  • Employed the Ordered Weighted Average (OWA) operator for feature weighting.
  • Proposed a double-threshold interval valued fuzzy inference approach for decision-making.

Main Results:

  • The proposed method demonstrated superior detection accuracy compared to existing techniques.
  • Achieved faster response speeds in identifying wheel damage.
  • Exhibited enhanced robustness across various operating environments.

Conclusions:

  • The interval valued fuzzy inference method offers an effective solution for wheel damage detection via sound analysis.
  • The developed system is adaptable and reliable for real-world applications.
  • This approach contributes to improved wheel safety and reduced maintenance costs.