Performance prediction method for large-centrifugal ventilator

Abstract

In view of problems that existing performance prediction methods for centrifugal ventilator cannot fully utilize historical operation data of centrifugal ventilator and have long modeling period, performance prediction method for large-centrifugal ventilator based on LSSVM and LHS was proposed. Outlet pressure is selected as index to measure performance of ventilator, and performance prediction model of centrifugal ventilator is established by using LSSVM. Inlet temperature, inlet pressure, inlet flow rate and rotational speed of the centrifugal ventilator are collected by LHS method, and the collected data are normalized for training of LSSVM model. Validity of the established model is verified by testing data. The simulation results show that the performance prediction method for large-centrifugal ventilator based on LSSVM and LHS can make full use of existing ventilator data information to quickly and accurately predict performance of ventilator.

Keywords

• centrifugal ventilator
• performance prediction
• least squares support vector machine
• latin hypercube sampling
• lssvm
• lhs