Continuous failure diagnosis for assembly systems using rough set approach
Mannar, K. and Ceglarek, Darek. (2004) Continuous failure diagnosis for assembly systems using rough set approach. CIRP Annals - Manufacturing Technology, Vol.53 (No.1). pp. 39-42. ISSN 0007-8506Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/S0007-8506(07)60640-4
Increasingly, companies require faster ramp-up in order to cope with shorter production cycles and greater demand for product variety. Since quality and dimensional problems are one of the major reasons for delay during ramp-up, rapid diagnosis of dimensional failures is of critical concern. Given the lack of historical data and incomplete process knowledge in ramp-up, a Rough Set based diagnosis methodology is proposed which focuses on developing: (1) Self-learning ability to detect new faults as a system undergoes adjustments; and (2) A continuous diagnostic for faults rather than a crisp definition of faults. A case study illustrates the proposed approach.
|Item Type:||Journal Article|
|Divisions:||Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)|
|Journal or Publication Title:||CIRP Annals - Manufacturing Technology|
|Page Range:||pp. 39-42|
|Access rights to Published version:||Restricted or Subscription Access|
Actions (login required)