Safety evaluation method of lifting appliances based on BP neural network

Abstract

As the classification score of lifting security status in the traditional way, subjective factors affect the state of the score, resulting in the error between assessment and the actual situation. To avoid the impact of these factors, this study designs the neural network security for lifting assessment, using BP neural network approach. After training and simulation, the network is proved to get low training error and generalization error. The design and implementation of the safety evaluation method could help the standard management and safe use of cranes to achieve the preventive maintenance of lifting appliances, regulate the management of lifting appliances, for the protection of the safe operation and avoiding the huge catastrophic economic losses and accidents. © Springer-Verlag 2012.