DocumentCode
1702569
Title
A method of task allocation for collaborative diagnosis
Author
Liu, JianHui ; Qin, Xiansheng
Author_Institution
Sch. of Mechatron., Northwestern Polytech. Univ., Xian
fYear
2008
Firstpage
930
Lastpage
935
Abstract
In the domain of collaborative diagnosis which joined with multi-resource, on account of equipment´s complexity and diagnosis resource´s heterogeneous, diagnosis task allocation should be self-adaptive. This requirement can be satisfied with an static and dynamic integrated task allocation method, in the static allocation method, diagnosis task relation model was established with equipment´s qualitative model and fuzzy relation matrix, diagnosis path planning was realized by improving D-algorithm, and multi-constraint integer programming was used to resource allocation; In the dynamic method, an extended contract net method was introduced, which based on utility and negotiation. Then, the validity of this method has been validated within an engineering equipment fault diagnosis instance. The conclusion summarizes this method and points out its further development.
Keywords
fault diagnosis; fuzzy set theory; groupware; integer programming; matrix algebra; path planning; resource allocation; task analysis; D-algorithm; collaborative diagnosis; diagnosis path planning; diagnosis task allocation; engineering equipment fault diagnosis; fuzzy relation matrix; multi-constraint integer programming; resource allocation; static allocation method; Collaboration; Contracts; Dynamic programming; Fault diagnosis; Fuzzy sets; Linear programming; Matrix decomposition; Mechatronics; Path planning; Resource management; Diagnosis task allocation; Extended contract net; Fuzzy relation matrix; Resource optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Supported Cooperative Work in Design, 2008. CSCWD 2008. 12th International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-1650-9
Electronic_ISBN
978-1-4244-1651-6
Type
conf
DOI
10.1109/CSCWD.2008.4537104
Filename
4537104
Link To Document