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PUBLICATIONS

Open Architecture Software Design for Online Spindle Health Monitoring

Published

Author(s)

Kang B. Lee, Robert Gao, Ruqiang Yan, Li Zhang

Abstract

This paper presents open systems architecture-based software design for an online spindle health monitoring system. The software is implemented using the graphical programming language of LabVIEW, and presents the spindle health status in two types of windows: simplified spindle condition display and warning window for standard machine operators (operator window) and advanced diagnosis window for machine experts (expert window). The capability of effective and efficient spindle defect detection and localization has been realized using the analytic wavelet-based envelope spectrum algorithm. The software provides a user-friendly human-machine interface and contributes directly to the development of a new generation of smart machine tools.
Proceedings Title
Instrumentation and Measurement Technology Conference | 2007 | IMTC
Conference Dates
May 1-3, 2007
Conference Location
Warsaw, PL
Conference Title
Instrumentation and Measurement Technology Conference
Pub Type
Conferences

Download Paper

Local Download

Keywords

analytic wavelet, open systems architecture, smart maching systems, software design, spindle health monitoring
Process measurement and control and Robotics

Citation

Lee, K. , Gao, R. , Yan, R. and Zhang, L. (2007), Open Architecture Software Design for Online Spindle Health Monitoring, Instrumentation and Measurement Technology Conference | 2007 | IMTC, Warsaw, PL, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=823343 (Accessed October 22, 2025)

Issues

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Created May 1, 2007, Updated February 19, 2017
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