Rotating equipment operation condition intelligent classification method

The invention relates to equipment operation condition classification, in particular to a rotating equipment operation condition intelligent classification method, which comprises the steps of extracting operation current and rotating speed condition parameter data of rotating equipment from a historical database; performing data cleaning on the extracted data; taking the cleaned current and rotating speed data as two-dimensional data and mapping the two-dimensional data to a rectangular coordinate system plane to form a working condition grid space; carrying out mean value statistics on the target parameters in each grid space numerical value range and taking the mean value as a representative value of the grid; combining working conditions according to the representative values; and arranging the combined working conditions in order, and obtaining the actual working condition number of the rotating equipment. The method is based on the historical operation data of the equipment, andtakes the latest historic