Research On Structural Health State Evaluation Method Of Bridge Crane Based On Bayesian Network

Overhead crane is one of the equipments which are in high rate of using in industrial production. It is widely used in workshops, warehouses, and other venues. However, because of the poor working environment, frequent operation, the overhead crane is in a higher failure rate, accidents have occurred from time to time. As a kind of special equipment, the crane once accidents, it will affect the production, causing economic losses, damage to equipment, caused human casualties, it will bring great damage to people’s lives and property. Research shows that there are two main reasons for the accidents, one is the human factor, is mainly because the people’s improper use of the machine, the other is the equipment factor, is mainly because the device is not design, manufacture, installation, repair and maintenance according to the standards, especially not tested according to the requirements. With "disease" operation, it laid hidden dangers.So, efficient evaluation of the structure of overhead crane is particularly important and there are many available methods. This paper innovatively presents the concept of constructing the health evaluation system of bridge crane structure. According to the factors of the failure mechanism of bridge crane metal structure and external influence, we can determine health indicators. According to the specification for bridge crane, we can determine evaluation criterion of health indicators. Using the ability of expression and reasoning uncertain knowledge for Bayesian network, we can establish the evaluation model of bridge crane health status based on BN.This paper mainly uses the appearance information and stress information of bridge crane structure and experts experience to determine the conditional probability distribution for the evaluation model. Combined with many experts experience to updating the conditional probability for the evaluation model, and then use the Bayesian network to determine the probability of edge. In this way, we can flexibly predictive and diagnostic to the system and evaluate the health state level of the bridge crane structure. Thus, assessment of health state of bridge structure is the foundation of inspection and maintenance for the bridge structure, is of great significance for ensuring the safe use of the bridge crane structure.