Maintenance Capability Evaluation for Complex Equipment Based on BP Neural Network
FENG Yu
ZHANG Hua
LIU Xin
LIU Tianbin
Abstract：The evaluation result of equipment maintenance capability directly affects the efficiency of logistics equipment maintenance.Aiming at the traditional method has strong subjectivity and low adaptability during the evaluation of equipment maintenance capability, maintenance capability evaluation for complex equipment based on BP neural network is proposed.The paper establishes the evaluation model of complex equipment maintenance capability based on BP neural network, with the index system for equipment is proposed, then to get the evaluation result of equipment maintenance capability.Then the example of the model by assessing the net training based on neural network has higher precision.The model provides scientific basis for decision-making for equipment fault quickly maintenance, which has important significance for the formation of equipment effectiveness and keeping.
Keywords：complex equipmentindex systemBP neural networkmaintenance capability
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 675-678 )