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 language | English |
|---|---|
| Title of host publication | 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009 |
| Pages | 405-410 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 4 Nov 2009 |
| Externally published | Yes |
| Event | 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009 - Singapore, Singapore Duration: 14 Jul 2009 → 17 Jul 2009 |
Publication series
| Name | IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM |
|---|
Conference
| Conference | 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 14/07/09 → 17/07/09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Agent technology
- Diagnosis
- Job execution capabilities
- Manufacturing system condition
- Prognosis
- Remaining useful life (RUL)
- Web service
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Science Applications
- Software
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