Rolling equipment machine deterioration diagnosing device

A deterioration diagnosing device of a rolling equipment machine for determining presence/absence of deterioration of an equipment machine provided in a rolling line, comprising:

• input/output data obtaining circuitry that, every time a material being rolled is rolled once in the rolling line, obtains input/output data that is input/output to/from the equipment machine during the rolling;
• model identifying circuitry that identifies a mathematical model from the input/output data obtained by the input/output data obtaining circuitry and obtains a parameter of the mathematical model;
• monitoring parameter calculating circuitry that calculates monitoring parameters from the parameter obtained by the model identifying circuitry;
• monitoring parameter usage determining circuitry including categorized monitoring parameter acquiring circuitry function for acquiring the monitoring parameters calculated by the monitoring parameter calculating circuitry, so as to be classified according to categories designated depending on a rolling condition of the material being rolled;
• representative value calculating circuitry that calculates a representative value of a set of the monitoring parameters from a predetermined time period corresponding to each of the categories obtained by the monitoring parameter usage determining circuitry;
• storage circuitry that accumulates, with respect to each of the categories, the representative values obtained by the representative value calculating circuitry over a learning period designated from a start of a monitoring process;
• and
• deterioration diagnosing circuitry including normal value distribution parameter calculating circuitry for obtaining a distribution parameter indicating a distribution of normal values, from a set of the representative values corresponding to each of the categories and having been accumulated in the storage circuitry, and categorized deterioration determining circuitry for determining presence/absence of deterioration with respect to each of the categories, by verifying the representative value obtained by the representative value calculating circuitry after the learning period, against the distribution parameter obtained by the normal value distribution parameter calculating circuitry.