A new method of chemical process quality prediction
A chemical process and quality prediction technology, applied in the field of automation, can solve problems such as inability to deal with nonlinear processes and high modeling complexity, and achieve the effects of improving interpretation ability, strengthening prediction performance, and reducing complexity
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[0053] In the following, the present invention will be further described in conjunction with the embodiments.
[0054] Take the Tennessee-Eastman process as an example:
[0055] The Tennessee-Eastman process consists of five parts: reactor, condenser, separator, compressor and stripper, and contains 12 operating variables and 41 measurement variables. There are 21 fault variables.
[0056] Step 1. Collect sensor data in the chemical process, process it, and establish a new process prediction model.
[0057] The specific steps are:
[0058] 1.1 Collect the data in the chemical process for offline modeling. The data is divided into two categories, process data X and quality data Y. There are a total of N samples.
[0059] X=[x 1 ,x 2 ,...X m ],x 1 ,x 2 …X m ∈R N×1
[0060] Y=[y 1 ,y 2 ,...Y p ],y 1 ,y 2 …Y p ∈R N×1
[0061] Where x 1 ,x 2 ,...X m Etc. respectively represent the reactant concentration, pressure, temperature... valve opening and other variables in the Tennessee-Eastman chemic...
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