iDiagnosis & Prognosis - An intelligent platform for complex manufacturing

Jun Hong Zhou, Danhong Zhang, Shai Avraham Arogeti, Ming Luo, Wei Wang Dan, Zhao Wei Zhong

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

2 Scopus citations

Abstract

Manufacturing shop floor dynamics such as tool breakage or machine performance degradation or breakdown will disrupt the execution of planned production schedules. An intelligent shop floor is one that is able to react to changes that are occurring in a positive way. To give the early warning of the system/equipment health conditions and job execution capability to the supervisory control will improve the productivity and efficiency of the shop floor. This paper presents a new concept called iDiagnosis & Prognosis - an intelligent diagnosis, prognosis, manufacturing system condition and job execution capability assessment system based on the Internet, web service and agent technologies. The paper introduces the basic concept of iDiagnosis & Prognosis. The proposed approach provides system functions, architecture and system components. The iDiagnosis & Prognosis dynamic model encompasses both information flow and event handling of the shop floor dynamics.

Original languageEnglish
Title of host publication2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009
Pages405-410
Number of pages6
DOIs
StatePublished - 4 Nov 2009
Externally publishedYes
Event2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009 - Singapore, Singapore
Duration: 14 Jul 200917 Jul 2009

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Conference

Conference2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009
Country/TerritorySingapore
CitySingapore
Period14/07/0917/07/09

Keywords

  • Agent technology
  • Diagnosis
  • Job execution capabilities
  • Manufacturing system condition
  • Prognosis
  • Remaining useful life (RUL)
  • Web service

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'iDiagnosis & Prognosis - An intelligent platform for complex manufacturing'. Together they form a unique fingerprint.

Cite this