Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Research on Manufacturing Equipment Operation State Evaluation Technology Based on Fractional Calculus

Version 1 : Received: 9 February 2023 / Approved: 9 February 2023 / Online: 9 February 2023 (15:02:18 CET)

A peer-reviewed article of this Preprint also exists.

Zuo, Y.; Cheng, H.; Geng, G.; Xia, S.; Zhou, C. Research on Manufacturing Equipment Operation State Evaluation Technology Based on Fractional Calculus. Sensors 2023, 23, 3373. Zuo, Y.; Cheng, H.; Geng, G.; Xia, S.; Zhou, C. Research on Manufacturing Equipment Operation State Evaluation Technology Based on Fractional Calculus. Sensors 2023, 23, 3373.

Abstract

The operation status of manufacturing equipment is directly related to the reliability of the operation of manufacturing equipment and the continuity of operation of the production system. Based on the analysis of the operation status of manufacturing equipment and its characteristics, it is proposed that the concept of assessing the operation status of manufacturing equipment can be realized by applying real-time acquisition of accurate inspection data of important parts of weak motion units and comparing them with their motion status evaluation criteria. Through the study of the application characteristics of fractional-order calculus theory, a differential data fusion model based on the fractional-order differential operator is established. The advantages of Internet of Things (IoT)technology and fractional order differential fusion algorithm are integrated to obtain real-time high-precision data of the operating parameters of manufacturing equipment, and the research objective of operating condition assessment of manufacturing equipment is realized. The feasibility and effectiveness of the method are verified by the application of the method in machining center operation status assessment.

Keywords

Manufacturing equipment; Fractional order calculus; Effective evaluation; Operational status

Subject

Computer Science and Mathematics, Applied Mathematics

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