Method for Diagnosing the Vibration Fault of a Centrifugal Pump Based on the Visual Graph Network Node Importance Measure
Sun Bi · Journal of Engineering for Thermal Energy and Power · 2014
In the light of the nonlinear and unsteady characteristics of the vibration signals from a centrifugal pump,proposed was a method for diagnosing a fault of a centrifugal pump based on the visual graph network node importance measure( shortly referred to as visual graph network). A network was built by using the visual graph method and its characteristic parameters were extracted from the network. An analysis of the four kinds of network of the centrifugal pump,i. e. normal,non-aligned,non-balanced and loosened in the foundation,came to a conclusion that more accurate network information can be extracted from the visual graph network than from the relevant coefficient network and the former can be used to more accurately diagnose and analyze any fault of the centrifugal pump. By measuring the important nodes of the network,the authors obtained comprehensive evaluation results of the importance of the nodes in the network. The BC( betweenness centrality) index was used to diagnose fault,the correct percentage of a diagnosis can be up to 98. 7%,more applicable for fault diagnosis compared with other indexes. It has been found that the method based on the visual graph and network node importance measure can diagnose more accurately any vibration fault of a centrifugal pump.