Design of a Real-time Spindle Health Monitoring and Diagnosis System Based on Open Systems Architecture

Published

March 13, 2007

Author(s)

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

Abstract

Accurate identification of spindle health in real time is an important feature of next generation smart machining systems that are capable of self-diagnosis. This paper presents a software design for an automated spindle health monitoring system based on open systems architecture. An analytic wavelet-based envelope spectrum algorithm is proposed and coded this in software for effective and efficient spindle degradation identification, defect localization, and damage growth tracking. The software is functionally adaptive and contributes directly to the development of a new generation of smart machine tools.

Conference Dates

March 13, 2007

Conference Location

Gaithersburg, MD

Conference Title

International Conference on Smart Machining Systems

Pub Type

Conferences

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Keywords

Analytic Wavelet, Condition-Based Maintenance, Open Systems Architecture, Remaining Useful Life, Smart Machining Systems

Citation

Zhang, L. , Yan, R. , Gao, R. and Lee, K. (2007), Design of a Real-time Spindle Health Monitoring and Diagnosis System  Based on Open Systems Architecture, International Conference on Smart Machining Systems, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=823023 (Accessed January 19, 2025)