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author:

Chen, Z. (Chen, Z..) [1] | Zhang, Q. (Zhang, Q..) [2]

Indexed by:

Scopus

Abstract:

The defective categories of port crane is studied in details, based on metal structure fault detection, to understand the actual status of a port crane. First the prediction of port crane life based on Paris model is introduced. But, this traditional residual life prediction is not so accurate considering fracture mechanics development. Then, the prediction model based on grey system theory is introduced for the study of port crane, and a grey model GM(1,1) of crack propagation is established. Next, a generic predict formula of life prediction of port crane is constructed. Finally, a case study is confirmed that the prediction has a good agreement with field data, and its relative error is less than 6%, so the proposed model has good precision and forecast creditability. © 2011 IEEE.

Keyword:

grey model; port crane; prediction

Community:

  • [ 1 ] [Chen, Z.]College of Management, Fuzhou University, Fujian Provincial Special Equipment Inspection, Fuzhou, China
  • [ 2 ] [Zhang, Q.]College of Management, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Chen, Z.]College of Management, Fuzhou University, Fujian Provincial Special Equipment Inspection, Fuzhou, China

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Source :

Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services, GSIS'11 - Joint with the 15th WOSC International Congress on Cybernetics and Systems

Year: 2011

Page: 378-381

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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