The Open Mechanical Engineering Journal

2015, 9 : 865-869
Published online 2015 October 7. DOI: 10.2174/1874155X01509010865
Publisher ID: TOMEJ-9-865

Study of the Fault Diagnosis Model of High Pressure Roller Mill Gearbox Lubrication System

Xijuan Wang , Lei Zhang , Jingxiao Feng , Wei Zhou and Haiyan Gao
School of Physical and Electrical Information, Luoyang Normal University, Luoyang 471022, Henan, China.

ABSTRACT

The fault phenomenon of high pressure roller mill gearbox lubrication system is not easy to be find in many cases, the fault of system is easy to be ignored, and it is more difficult to judge with the traditional method. For this reason, the fault diagnosis model of the particle swarm neural network has been established by using actual sample data, determining the cause of fault through the actual monitoring data. The practice has proved that it has better prediction effect.

Keywords:

BP network, fault diagnosis, high pressure roller mill, particle swarm algorithm.