NDLI: Failure prediction by means of cepstral analysis and coherence function between thrust force and torque signals

Content Provider	IEEE Xplore Digital Library
Author	Vilcek, I. Kovac, J. Janekova, J.
Copyright Year	2011
Description	Author affiliation: Faculty of Mechanical Engineering, Technical University of Kosice, Kosice, Slovakia (Vilcek, I.; Kovac, J.; Janekova, J.)
Abstract	Requirements for flexible manufacturing have been increasing in the last years. In order to insure effective operation of expansive manufacturing equipment, which has to run automatically and unattended, tool monitoring is important. Therefore, the essential problem to be overcome to achieve the full potential of unmanned machining is the development of effective and reliable sensors system to monitor the process and corrective actions in case abnormal operation. The ultimate goal of the development of such production equipment is to enhance the overall economic of the manufacturing process. Even when there are at present many monitoring systems commercially available in the market for turning processes, serious difficulties still remain to be solved to apply monitoring systems successfully in machining centers. Being these difficulties mainly related with the limited accessibility to the rotating tool for sensing purposes in tool driven machining processes. Therefore, the primary objective of this paper assess the feasibility of using force signal analysis as means for monitoring tool condition in drilling.
Starting Page	1
Ending Page	4
File Size	785964
Page Count	4
File Format	PDF
ISBN	9781612843421
e-ISBN	9781612843438
DOI	10.1109/ISAM.2011.5942360
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-25
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Drilling machines Monitoring Vibrations Coherence Torque Cepstrum Force coherence function failure prediction monitoring drilling cutting forces manufacturing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Modelling kinematics and cutting forces in vibration assisted drilling

Twist drilling SPH simulation for thrust force and torque prediction

Investigation of Forces in Deep Hole Bone Drilling

Prediction of Thrust Force and Cutting Torque in Drilling Based on the Response Surface Methodology

Drilling Thrust and Torque Prediction of Viscoplastic Materials

Tool Wear Estimation in Drilling Using Acoustic Emission Signal by Multiple Regression and GMDH

Regression & neuro fuzzy models for prediction of thrust force and torque in drilling of glass fibre reinforced composites

Cutting Process Monitoring System Using Audible Sound Signals and Machine Learning Techniques: An Application to End Milling

Influence of cutting parameters on thrust force, drilling torque and delamination during drilling of carbon fibre reinforced composites

Failure prediction by means of cepstral analysis and coherence function between thrust force and torque signals

Similar Documents

Modelling kinematics and cutting forces in vibration assisted drilling

Twist drilling SPH simulation for thrust force and torque prediction

Investigation of Forces in Deep Hole Bone Drilling

Prediction of Thrust Force and Cutting Torque in Drilling Based on the Response Surface Methodology

Drilling Thrust and Torque Prediction of Viscoplastic Materials

Tool Wear Estimation in Drilling Using Acoustic Emission Signal by Multiple Regression and GMDH

Regression & neuro fuzzy models for prediction of thrust force and torque in drilling of glass fibre reinforced composites

Cutting Process Monitoring System Using Audible Sound Signals and Machine Learning Techniques: An Application to End Milling

Influence of cutting parameters on thrust force, drilling torque and delamination during drilling of carbon fibre reinforced composites

Failure prediction by means of cepstral analysis and coherence function between thrust force and torque signals