TY - JOUR
T1 - A module-based software system for spindle condition monitoring
AU - Yan, Ruqiang
AU - Gao, Robert X.
AU - Zhang, Li
AU - Lee, Kang B.
PY - 2009/9
Y1 - 2009/9
N2 - 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.
AB - 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.
KW - Analytic wavelet; ssi
KW - Modular software design
KW - Osa/cbm architecture
KW - Smart machining system
KW - Spindle condition monitoring
KW - Stochastic subspace identification
UR - https://www.scopus.com/pages/publications/70349201129
U2 - 10.1504/ijmms.2009.028079
DO - 10.1504/ijmms.2009.028079
M3 - 文章
AN - SCOPUS:70349201129
SN - 1753-1039
VL - 2
SP - 532
EP - 551
JO - International Journal of Mechatronics and Manufacturing Systems
JF - International Journal of Mechatronics and Manufacturing Systems
IS - 5-6
ER -