REAL TIME PAPER MACHINE DATA WAVELET ANALYSIS

摘要

The development of an online automated diagnostics tool for analyzing paper machine data is useful to mill operators when monitoring the performance of a cross directional (CD) control system. Using Object Unking and embedding for Process Control (OPC) interface for efficient, robust and accurate data transfer between a CD control system and monitoring workstations, a real time diagnostics toolbox has been developed to help paper mill companies reduce costs and save time on troubleshooting. The Real Time Wavelet Toolbox, known as Waveplot, provides color maps of raw, wavelet and residue profiles for both basis weight and moisture. Moreover, machine directional (MD) and cross directional (CD) control performance indices as well as the standard deviations for controllable and non-controllable CD components are calculated and displayed. Other important plots such as power spectral density and two-sigma plots are also included in the toolbox for further analysis. The displays are validated and demonstrated by collecting paper profiles through the OPC server from a multi-grade, operating paper machine.