An IoT system for managing machine tool spindles in operation

卷:128

Article

关键词: INDUSTRY 4.0;    PREDICTIVE MAINTENANCE;    HEALTH MANAGEMENT;    FAULT-DIAGNOSIS;    DESIGN SCIENCE;    PROGNOSTICS;    VIRTUALIZATION;    METHODOLOGY;    TECHNOLOGY;    INTERNET;   

DOI  :  10.1007/s00170-023-11936-7

来源: SCIE

【 摘 要 】

With the advancement of production processes in recent decades, machine tools have undergone significant evolution. Today, we witness the emergence of new technological developments, such as Internet of Things (IoT) systems, which have become crucial competitive advantages across various industries, including the manufacturing sector. Predicting machine failures in advance is essential for maximizing company performance and minimizing operational costs. In line with this objective, the present research aimed to develop an IoT system for the online management of machine tool spindles in operation, providing reliable data for maintenance management within the context of Industry 4.0 (I4.0). The system was developed using the design science research (DSR) methodology. The implementation and validation of the IoT system were demonstrated through a case study conducted in the automotive industry, utilizing participant observation. The main contributions of this research include the development and validation of the IoT system, as well as the associated predictive maintenance method. The IoT system showcases the normal behavior of spindles during operation, contributing to both academic knowledge and practical applications in the industry. It advances our understanding and helps prevent catastrophic failures in machine tools.

【 授权许可】

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