Waveform anomaly detection method based on least square fitting of sine curve

• Main Authors: LI TONG, FENG RUIJUE, HU QINMING, CHEN ZHIFENG, SUN YICHEN, ZHOU CHANGPENG
• Format: Patent
• Language: Chinese; English
• Published: 03.03.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PHYSICS; TESTING

The invention relates to the technical field of waveform anomaly detection, in particular to a waveform anomaly detection method based on sine curve least square fitting, which comprises the following steps: S1, setting a standard voltage curve, and obtaining four characteristic quantities of the standard voltage curve; s2, acquiring waveform data of a voltage period in real time according to the acquisition period; s3, adopting a sine curve least square fitting method for the waveform data to obtain an approximate sine curve, and obtaining four characteristic quantities of the approximate sine curve; s4, the four characteristic quantities of the approximate sine curve correspond to the four characteristic quantities of the standard voltage curve one by one, and a corresponding relation is obtained; s5, setting a threshold value between the two characteristic quantities with the corresponding relation; s6, judging whether a set threshold value is exceeded or not, and if yes, outputting an abnormal waveform; i