NDLI: Enhancing the monitoring of 3D scanned manufactured parts through projections and spatiotemporal control charts

Content Provider	Springer Nature Link
Author	He, Ketai Zhang, Min Zuo, Ling Alhwiti, Theyab Megahed, Fadel M.
Copyright Year	2014
Abstract	As measurement technologies evolve, our ability to detect, isolate and diagnose process faults on the shop-floor is rapidly changing. Three dimensional scanners provide the opportunity to capture the entire surface geometry of a manufactured part and allow for the detection of a wide variety of fault patterns that may not be captured by traditional measurement devices. Despite their advantages, their use in practice is limited due to the complexities associated with the analysis of 3D laser scan data (point clouds). Therefore, the objective of our work is to allow practitioners to fully utilize the inherent advantages of point clouds by providing a framework that can facilitate their analysis and visualization. More specifically, we transform point clouds into 2D images (without the loss of any spatial information) to benefit from the image analysis and monitoring techniques that are currently being implemented on the shop-floor. We provide numerical and experimental examples to illustrate and validate the advantages of our proposed method. Finally, we offer advice to practitioners and recommendations for future research.
Starting Page	899
Ending Page	911
Page Count	13
File Format	PDF
ISSN	09565515
Journal	Journal of Intelligent Manufacturing
Volume Number	28
Issue Number	4
e-ISSN	15728145
Language	English
Publisher	Springer US
Publisher Date	2014-12-28
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	High-density data Noncontact scanning systems Image monitoring Map projection Statistical process control Production Manufacturing, Machines, Tools Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Artificial Intelligence Software

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

Statistical process monitoring approach for high-density point clouds

Process control using VSI cause selecting control charts

Construction of quality control charts by using probability and fuzzy approaches and an application in a textile company

Cloud intelligence in manufacturing

Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning

Autoregressive coefficient-invariant control chart pattern recognition in autocorrelated manufacturing processes using neural network ensemble

Optimization of parts scheduling in multiple cells considering intercell move using scatter search approach

Computer-Aided Mechanical Assembly Planning

Distributed Autonomous Robotic Systems 3

Enhancing the monitoring of 3D scanned manufactured parts through projections and spatiotemporal control charts

Similar Documents

Statistical process monitoring approach for high-density point clouds

Process control using VSI cause selecting control charts

Construction of quality control charts by using probability and fuzzy approaches and an application in a textile company

Cloud intelligence in manufacturing

Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning

Autoregressive coefficient-invariant control chart pattern recognition in autocorrelated manufacturing processes using neural network ensemble

Optimization of parts scheduling in multiple cells considering intercell move using scatter search approach

Computer-Aided Mechanical Assembly Planning

Distributed Autonomous Robotic Systems 3

Enhancing the monitoring of 3D scanned manufactured parts through projections and spatiotemporal control charts