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Kinetic Mechanical Engineering, 2023, 4(1); doi: 10.38007/KME.2023.040102.

Optimization of Fault Elimination Method for Hydraulic Cylinder of Construction Machinery Based on Feature Clustering and Wavelet Analysis

Author(s)

Aghenta Lodewyk

Corresponding Author:
Aghenta Lodewyk
Affiliation(s)

Tamale Technical University, Ghana

Abstract

At present, with the rapid development of China's economy, the construction industry, transportation industry and other fields have also made continuous progress. In these aspects, the traditional structure of mechanical hydraulic cylinder can no longer meet the growing needs of people. Therefore, it is of great significance to research and design new efficient and reliable hydraulic system. In this paper, by analyzing the structure and working principle of several common hydraulic cylinders in construction machinery, and combining with the methods of fault diagnosis and elimination, a fusion device based on wavelet and clustering algorithm is proposed. In the process of processing the input signal of fusion fusion device, the wavelet transform method is used. The clustering technology is used to extract each rod variable after collecting different feature sets as the sample training quadrate curve to achieve fault location. The simulation experiment conducted by Matlab software verifies that the wavelet adaptive analysis method has excellent denoising effect in processing fault removal, can clearly locate the fault location, and efficiently process the fault location.

Keywords

Feature Clustering, Wavelet Analysis, Engineering Machinery, Hydraulic Cylinder Failure

Cite This Paper

Aghenta Lodewyk. Optimization of Fault Elimination Method for Hydraulic Cylinder of Construction Machinery Based on Feature Clustering and Wavelet Analysis. Kinetic Mechanical Engineering (2023), Vol. 4, Issue 1: 11-19. https://doi.org/10.38007/KME.2023.040102.

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