A module-based software system for spindle condition monitoring
by Ruqiang Yan, Robert X. Gao, Li Zhang, Kang B. Lee
International Journal of Mechatronics and Manufacturing Systems (IJMMS), Vol. 2, No. 5/6, 2009

Abstract: Accurate identification of spindle working conditions is one of the key features of the next generation smart machining systems with built-in self-diagnosis capability. This paper presents a module-based software system for online spindle defect identification and localisation through an analytic wavelet envelope spectrum algorithm. The software is designed in accordance with the architectural structure of OSA-CBM, and implemented using the graphical programming language LabVIEW. Spindle condition is displayed online in both a basic window for machine operators and a diagnosis window for advanced analysis. The software provides a user-friendly human-machine interface and contributes to realising a smart machine tool.

Online publication date: Thu, 03-Sep-2009

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