NDLI: Industrial application of a multitooth tool breakage detection system using spindle motor electrical power consumption

Content Provider	Springer Nature Link
Author	Reñones, Aníbal Rodríguez, Javier de Miguel, Luis J.
Copyright Year	2009
Abstract	This paper describes a multitooth tool diagnosis application to be used in the car industry. The main focus is on the optimal variable selection (noise, vibration, temperature, and tool drives electrical power consumption) of the tool’s environment, and the signal processing by means of the segmentation of the electrical power consumption signals into groups of inserts according to the type of tools studied. The fault detection algorithms are based on statistical analysis of the spindle tool power consumption. Different statistical parameters are used in a change detection algorithm, while keeping in mind the need for a reliable and low-cost fault diagnosis system. Multitooth tools add an important degree of difficulty to the fault detection problem as opposed to simple tools because of the complexity introduced by the high number of inserts that the workpiece is machining at the same time, for different kinds of finishing and operations.
Starting Page	517
Ending Page	528
Page Count	12
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	46
Issue Number	5-8
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-05-30
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Tool breakage detection Multitooth tools Change detection Electrical power consumption Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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