Sensor-less tool fracture detection applying disturbance observer theory

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Detection of a tool fracture is necessary to ensure cutting accuracy and to avoid a tool breakage because tool fracture is one of the significant prediction signals of the tool breakage. For monitoring the tool condition, generally additional sensors are used. However using these sensors causes high cost and increase of failure rate. In this paper, a novel sensor-less detection method of tool fracture in drilling process is proposed on the basis of a disturbance observer theory. It is applied to the x-y stage of the machine tool. The proposed method requires no external sensor because it uses only the servo information of the spindle control system. Since structures of normal drills with two floats are symmetrical with respect to a point, theoretically the cutting force in the x and y directions does not work. When the drill is fractured, its structure becomes asymmetry so that unbalanced forces would exert in the x and y directions at intervals of the spindle speed. Therefore, it is possible to detect a tool fracture by the frequency analysis of estimated disturbance force with a wavelet transform. The experimental results show that the proposed method is available for detection of the small tool fracture effectively.

Original languageEnglish
Title of host publicationEmerging Technology in Precision Engineering XIV
PublisherTrans Tech Publications Ltd
Number of pages6
ISBN (Print)9783037855096
Publication statusPublished - 2012
Event14th International Conference on Precision Engineering, ICPE 2012 - Hyogo, Japan
Duration: 2012 Nov 82012 Nov 10

Publication series

NameKey Engineering Materials
ISSN (Print)1013-9826
ISSN (Electronic)1662-9795


Other14th International Conference on Precision Engineering, ICPE 2012


  • Disturbance observer
  • Drill
  • Fracture
  • In-process monitoring
  • Wavelet transform

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering


Dive into the research topics of 'Sensor-less tool fracture detection applying disturbance observer theory'. Together they form a unique fingerprint.

Cite this