In order to apply the data-driven technology in industry field

with the distillation column as one of the controlled objects

the hardware-in-the-loop simulation system is developed

and the data driven methods are applied to the process industry hardware-in-the-loop simulation system.Aiming at the huge computation and low efficiency of the dynamic principal component analysis method

an improved dynamic principal component analysis method is proposed

which remove the irrelevant variables or low relevant variables

reduce the amount of data

and improve the diagnostic efficiency by indiscernibility and the cross-degree.For the typical faults of the systems

the application result shows that the data-driven methods can detect the fault of hardware-in-the-loop simulation system

and compared with the traditional dynamic principal component

the simulation results show that the proposed method is more reliable with lower missing rate

and lower false rate

and in addition

it can detect the small process faults timely.