Monitoring Rotating Tool Wear Using Higher-Order Spectral Features

Autor:	Melvin J. Hinich, G. A. Klutke, R. W. Barker
Rok vydání:	1993
Předmět:	Vibration Engineering Signal processing business.product_category Cutting tool Drill Machining business.industry Mechanical engineering Spectral density Tool wear business Machine tool
Zdroj:	Journal of Engineering for Industry. 115:23-29
ISSN:	0022-0817
DOI:	10.1115/1.2901634
Popis:	A framework for detecting incipient wear in rotating machinery is proposed. In this paper, statistical techniques that combine power spectrum estimates with higher-order spectrum (HOS) estimates for feature development are applied to discriminate and classify vibration signals from new and slightly used drill bits in a drill wear study. Results from experimental data obtained when drilling composite circuit cards reveal that the performance of a power spectrum-based tool wear monitoring system can be enhanced by complementing the power spectrum information with HOS information on the accelerometer signal. Evidence presented supports the proposition that a HOS approach provides better signal features to a pattern classifier which allows better decisions on the state of rotating tool wear.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4bdfdcb45e5c249b2e04c1fe4c6ef644 https://doi.org/10.1115/1.2901634 Zobrazit plný text záznamu