Research on Vibration Trend Prediction Method of Large Water Pump Unit
At present,with the rapid development of industrial automation technology,large water pump units are particularly critical to the stable operation of core equipment.As an important means to evaluate the health status of equipment,vibration monitoring provides data support for equipment maintenance.However,traditional vibration trend prediction methods are often difficult to deal with complex and nonlinear time series data.This paper is devoted to the development of a method for accurately predicting the vibration trend of large pump units.Through the comprehensive utilization of advanced technologies such as ARIMA model,composite model and RNN recurrent neural network,the vibration data are analyzed in depth to realize the accurate prediction of the vibration trend,and provide scientific and reliable data basis for the early warning monitoring and maintenance decision of pump units.
large water pumpunit vibrationvibration signalfiltering method
NETL
NSTL
万方数据
