Health monitoring and diagnosis system for heavy roll grinding machine

Zhonghua Miao,Nan Li,Chengliang Liu,Zhaoguang Zou,Zhiyuan Gao

doi:10.1177/1687814016650419

Zhonghua Miao, Nan Li + Show 3 more

Open Access

https://doi.org/10.1177/1687814016650419

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Abstract

A health monitoring and diagnosis system for heavy roll grinding machine is reported in this article. It consists of field monitoring system, remote service system, and collaborative management system. The architecture of the health monitoring and diagnosis system is discussed in detail including placement of the vibration sensors, system configuration of the monitoring and diagnostic instrument, and the implementation process of the health monitoring and diagnosis system. The test results show that the reported health monitoring and diagnosis system for heavy roll grinding machine is effective and abnormal status identification is achieved.

Highlights

As the development of performance and process quality of large-scale mechanical equipment, health monitoring becomes an important issue.[1,2,3,4,5] Heavy roll grinding machine is a large-scale mechanical equipment and a typical complex electromechanical integration equipment.[6,7] In the grinding process, the rotation accuracy and stability of the spindle rotation system consisted of headstock, workpiece, and tailstock and has a huge impact on the quality of the machined workpieces and production efficiency
YH Ali et al.[9] present a survey based on a literature review using acoustic emission signal analysis and artificial intelligence techniques in machine condition monitoring and fault diagnosis
Design of the health monitoring and diagnosis system for heavy roll grinding machine is discussed in detail

Summary

Introduction

As the development of performance and process quality of large-scale mechanical equipment, health monitoring becomes an important issue.[1,2,3,4,5] Heavy roll grinding machine is a large-scale mechanical equipment and a typical complex electromechanical integration equipment.[6,7] In the grinding process, the rotation accuracy and stability of the spindle rotation system consisted of headstock, workpiece, and tailstock and has a huge impact on the quality of the machined workpieces and production efficiency. Lack of normal and fault samples becomes an important issue for health monitoring and diagnosis of such expensive and heavy equipment. A novel health monitoring and diagnosis system for heavy roll grinding machine is developed and reported in this article.

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Conclusion