IDiagnosis & prognosis for supporting of manufacture

Danhong Zhang, Jun Hong Zhou, Shai Avraham Arogeti, Ming Luo, Bertrand Tay, Xin Jiang

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


Manufacturing shop floor dynamics such as machine performance degradation or breakdown will affect the execution of planned production schedules. An intelligent shop floor is able to react to changes in a positive way. To give the early warning of the system/equipment health conditions and mission 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 mission execution capability assessment system. It focuses on the investigation of system health condition indicator, generic diagnosis & prognosis information structure and system framework to effectively support dynamic manufacturing management. The system functions, components and the integration issues in the Service Oriented Architecture (SOA) is discussed. The prototype system is introduced and the effectiveness of the proposed framework is evaluated. 2009 IEEE.

Original languageEnglish
Title of host publication2009 7th IEEE International Conference on Industrial Informatics, INDIN 2009
Number of pages6
StatePublished - 16 Nov 2009
Externally publishedYes
Event2009 7th IEEE International Conference on Industrial Informatics, INDIN 2009 - Cardiff, United Kingdom
Duration: 23 Jun 200926 Jun 2009

Publication series

NameIEEE International Conference on Industrial Informatics (INDIN)
ISSN (Print)1935-4576


Conference2009 7th IEEE International Conference on Industrial Informatics, INDIN 2009
Country/TerritoryUnited Kingdom


  • Diagnosis
  • Health condition
  • Prognosis
  • SOA

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems


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