Abstract: Embodiments of the invention provide a method, article of manufacture and apparatus for controlling production of hydrogen. In one embodiment, the method includes measuring an amount of hydrogen present at a first point in a hydrogen production process using a palladium-based hydrogen sensor, measuring one or more first production process variables for the hydrogen production process using an additional sensor, inputting the amount of hydrogen and the one or more additional production process variables into a process controller, and modifying one or more second production process variables for the hydrogen production process using a process control system.

Abstract: A frame work for storing, retrieving and displaying real-time data. The frame work includes software known as tools for data acquisition, that is, logging, file conversion and data analysis/display. Scalar and array type data are simultaneously handled during data logging and further processing. The data logging tool creates short term data in a binary file format and the file conversion software acquires long term data from the short-term data. Process condition based conversion and periodic conversion are also included in the architecture. Each of the three components of the frame work allows for user selection of parameters to maximize the benefit of the tools. The data display component offers automatic or user input based switching between the live data (online) and history data (offline) modes according to computational intensity.

Abstract: A method is described for using the partial least squares (PLS) technique for modeling, predicting and controlling curl and twist in a paper machine. The prediction variables to the model are selected quality control system measurements and paper machine variables. The selection is based on incremental error analysis of individual prediction variables and can be improved using score contribution analysis. The predicted variables to the model are the curl and twist measurements which are determined from the samples taken at the end of the reel. The PLS model is identified and used in an on-line framework and the model is continuously updated with new data as required. A control strategy to use the PLS model for controlling curl and twist is included. There is also described a method which uses as inputs to the model only the measurements from a fiber orientation sensor and the curl and twist measurements.