Online machining process monitoring using wavelet transform and SPC

Dongfeng Shi, Dragos A. Axinte, Nabil N. Gindy

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

A new online machining process monitoring system composing of several interconnected packages has been developed in LabVIEW environment. In this system, triggering and cross-correlation technique is introduced to align sensory signals acquired from different trials. The wavelet and short time Fourier transform is further explored to decompose sensory signals and extract features of tool malfunctions in machining processes. Univariate and multivariate statistical process monitoring techniques are proposed to construct the thresholds of free-malfunction machining zone. Experimental results obtained from the extensive broaching trials show that proposed techniques and monitoring system is effective to detect tool wear and construct thresholds.

Original languageEnglish
Title of host publicationIMTC'06 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference
Pages2081-2086
Number of pages6
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventIMTC'06 - IEEE Instrumentation and Measurement Technology Conference - Sorrento, Italy
Duration: 24 Apr 200627 Apr 2006

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)1091-5281

Conference

ConferenceIMTC'06 - IEEE Instrumentation and Measurement Technology Conference
Country/TerritoryItaly
CitySorrento
Period24/04/0627/04/06

Keywords

  • LabVIEW
  • Process monitoring
  • Statistical process control
  • Wavelet

ASJC Scopus subject areas

  • Instrumentation

Fingerprint

Dive into the research topics of 'Online machining process monitoring using wavelet transform and SPC'. Together they form a unique fingerprint.

Cite this