Abnormal Detection of Vibrating Sinking Pipe Gravel Pile Machines Based On Support Vector Machine Model

Abstract

Abstract The intelligent monitoring system automatically collects the current value, drilling depth and drilling verticality and other parameter data of the equipment during the operation of the vibrating sinking pipe gravel pile machines. When the pile driver works normally, the parameter data meet certain distribution characteristics. In the work of the vibrating sinking pipe gravel pile machines, Parameter data are used for data mining, and one class support vector machine is used to learn the boundary of data. Once the equipment works abnormally, it can be detected in time to reduce the loss. Experiments show that the method has a high detection rate and is easy to be extended to other engineering equipment.