Research on Attribute Reduction in Hoisting Motor State Recognition of Quayside Container Crane

2nd International Conference on Measurement Instrumentation and Electronics

物理学;无线电电子学

Li, F.^1 ; Tang, G.^1 ; Hu, X.^1

Logistics Engineering College, Shanghai Maritime University, Shanghai

201306, China^1

关键词: Attribute reduction;    Attribute reduction method;    Discernibility matrix;    Fast state;    Motor state;    Quayside container cranes;    Recognition process;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/870/1/012020/pdf
DOI  :  10.1088/1742-6596/870/1/012020

来源: IOP

【 摘 要 】

In view of too many attributes in hoisting motor state recognition of quayside container crane. Attribute reduction method based on discernibility matrix is introduced to attribute reduction of lifting motor state information table. A method of attribute reduction based on the combination of rough set and genetic algorithm is proposed to deal with the hoisting motor state decision table. Under the condition that the information system's decision-making ability is unchanged, the redundant attribute is deleted. Which reduces the complexity and computation of the recognition process of the hoisting motor. It is possible to realize the fast state recognition.