Experimental analysis of change detection algorithms for multitooth machine tool fault detection

被引:20
作者
Renones, Anibal [1 ]
de Miguel, Luis J. [2 ]
Peran, Jose R. [2 ]
机构
[1] CARTIF Fdn, Parque Tecnol Boecillo, Valladolid 47151, Spain
[2] Univ Valladolid, E-47002 Valladolid, Spain
关键词
Tool condition monitoring; Multitooth tools; Change detection; Statistical analysis; MANUFACTURING PROCESSES; CUTTING FORCES; PREDICTION; BREAKAGE; SYSTEM;
D O I
10.1016/j.ymssp.2009.03.004
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper describes an industrial application of fault diagnosis method for a multitooth machine tool. Different statistical approaches have been used to detect and diagnose insert breakage in multitooth tools based on the analysis of electrical power consumption of the tool drives. Great effort has been made to obtain a robust method, able to avoid any needed re-calibration process, after. for example, a maintenance operation. From the point of view of maintenance costs, these multitooth tools are the most critical part of the machine tools used for mass production in the car industry. These tools integrate different kinds of machining operations and cutting conditions. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2320 / 2335
页数:16
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