A method for analyzing the state of a high-pressure heater based on a genetic simulated annealing algorithm
A simulated annealing algorithm and high-pressure heater technology, applied in genetic models, instruments, calculations, etc., can solve problems such as good convergence and global search capabilities, lack of global search functions, and inability to overcome local optimal solutions, etc., to achieve The effect of reducing the calculated data and improving the operation response speed
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[0060] Embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The embodiments described in the following examples do not represent all embodiments consistent with this application.
[0061] see figure 1 , is a flow chart of the method for analyzing the state of the high-pressure heater based on the genetic annealing algorithm in this application.
[0062] A method for analyzing the state of a high pressure heater based on a genetic simulated annealing algorithm, said method comprising the following steps:
[0063] Step S100: Acquiring the operating state data of the high pressure heater;
[0064] Step S200: using the Raida criterion to process negligent errors in the acquisition of operating state data;
[0065] Step S300: using the wavelet threshol...
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