| 摘要 |
The invention concerns a method for monitoring and analyzing a paper manufacturing process, in which method a large number of quantities (xi, t) are measured from the process, the measured quantities (xi, t) are entered as an input vector (<o>X</o>, t) into a neural network, which, in response to the input vector, produces an output vector (<o>Y</o>, t) as a continuous quantity, at least one fingerprint consistent with a good process situation in regard of runnability, i.e. an optimal output vector (<o>Y</o>o, t) is determined and stored in memory, the stored fingerprints and fingerprints or output vectors obtained in a normal process situation are compared substantially in real time, based on the comparison, a difference to be presented in a graphic form to the user is determined. According to the invention, a continuous time-dependent scalar quantity k=k(t) to be presented as a result to the user is determined as a geometric distance between the instantaneous measured fingerprint (<o>Y</o>, t) and the taught fingerprint (<o>Y</o>o), and the scalar quantity k=k(t) is displayed via a display device to the user.
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