CMG rotating part working condition detection method based on incremental data statistics

The invention relates to a CMG rotating part working condition detection method based on incremental data statistics. The CMG rotating part working condition detection method comprises the following steps of obtaining an actual measurement value of a to-be-detected parameter of a CMG rotating part at a to-be-detected moment; calculating an error between the actual measurement value and an instruction value at the to-be-detected moment; comparing the error with an error threshold value; and obtaining a working condition detection result of the CMG rotating part according to a comparison result. According to the method, the error between the actual measurement value at the moment to be detected and the instruction value is calculated, and then the error is compared with the error threshold value to determine the detection result. In the process, all historical data does not need to be calculated repeatedly, and time consumption of data calculation is reduced. 本发明是关于一种基于增量式数据统计的CMG转动部件工况检测方法，包括以下步骤：获取CMG转动部件的待检测