Comparative Analysis of Machine Learning Approaches to Predict Impact Energy of Hydraulic Breakers

Author:

Kim Sung-Hyun1ORCID,Park Jong-Won1ORCID,Kim Jae-Hoon2

Affiliation:

1. Department of Reliability Assessment, Korea Institute of Machinery and Materials, Daejeon 34103, Republic of Korea

2. School of Mechanical Engineering, Chungnam National University, Daejeon 34134, Republic of Korea

Abstract

Impact energy, the main performance subject of hydraulic breakers, is required to evaluate value from consumers. This study proposes a neural network algorithm-based model to predict the impact energy of a hydraulic breaker without measuring it. The proposed model was developed using 1451 data points for various parameters as an input to predict the impact energy of hydraulic breakers in a small class to a large class. Different machine learning methods have been studied, including correlation analysis, linear regression, and neural networks. The results revealed that the working pressure, working flow rate, chisel diameter, nitrogen gas pressure, operating frequency, and power significantly influenced impact energy formation. The results obtained provide a reliable model for predicting the impact energy of hydraulic circuit breakers of various sizes.

Funder

National Research Council of Science & Technology

Publisher

MDPI AG

Subject

Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering

Reference22 articles.

1. Construction Industry Manufacturers Association (CIMA) (1996). Measuring Guide for Tool Energy Rating for Hydraulic Breakers, Milwaukee.

2. Korean Agency for Technology and Standards (KATS) (2009). Hydraulic Breaker for Construction Machinery—RS B 0022.

3. Baek, M.H., Kim, S.H., Park, J.W., and Lee, G.-S. (2021). A Study on the Wear Characteristics of Hydraulic Breaker System Tool Materials. Trans. Korean Soc. Mech. Eng., 21RE-Th03P40. Available online: https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10556083.

4. Kim, S.H., Chang, M.S., Park, J.W., and Choi, B.O. (2013). A study on the degradation characteristic of a hydraulic breaker by the accelerated life testing of vertical impact operation. Trans. Korean Soc. Mech. Eng., 13RE-Th01P012.

5. Study on fatigue life prediction of vibro-hammer structure using field data;Kim;Trans. Korean Soc. Mech. Eng. A,2019

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