Anomaly detection method based on cumulative sum control chart and applied to satellite power supply system
A technology for satellite power supply and anomaly detection, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as inability to detect minor faults, early warning, and wide thresholds, saving computing time and accuracy. high effect
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specific Embodiment approach 1
[0020] An abnormal detection method for a satellite power system based on cumulative sum control charts, including the following steps:
[0021] Step 1. Obtain the historical data of the normal operation of the nickel-hydrogen battery satellite power supply for a period of time, select the hydrogen pressure value of the power supply as an evaluation parameter, and perform pre-processing (including shaving and smoothing) on the hydrogen pressure value. The hydrogen pressure values are divided into m groups, and the average value p of each group of hydrogen pressure values is calculated j , j=1,2,...m;
[0022] Step 2, calculate the statistical characteristics of the hydrogen pressure value of the power supply, that is, calculate the mean value p described in step 1 j The mean and variance of ;
[0023] Step 3. Determine the tolerance and threshold value of the accumulation and control chart according to the statistical characteristics of the hydrogen pressure value duri...
specific Embodiment approach 2
[0027] As described in step 1 of this embodiment, divide the pretreated hydrogen pressure values into m groups and calculate the average value p of each group of hydrogen pressure values j The steps are as follows:
[0028] The hydrogen pressure value of the power supply is selected as a characteristic parameter of satellite anomaly detection. The hydrogen pressure and the charge are linearly related to a certain extent. When the satellite power supply is working normally, the hydrogen pressure value fluctuates steadily. If the power supply fails, then This fluctuation will deviate from normal; and satellite telemetry data is usually at the second level, and calculating the average value over a period of time is conducive to data smoothing.
[0029] According to the collection law of satellite telemetry data, the acquired historical data is composed of several sampling points, and the continuous n hydrogen pressure value data points are regarded as a group, and there are m g...
specific Embodiment approach 3
[0033] The average value p described in the calculation step 1 described in the step 2 of the present embodiment j The steps for the mean and variance of are as follows:
[0034] Considering the satellite power system due to slight changes in the working environment, the state fluctuations of the power system itself, and the influence of measurement random errors, calculate the statistical characteristics of the hydrogen pressure value of the power supply, that is, the mean value p mentioned in the calculation step 1 j The mean and variance of ;
[0035] Calculate the mean p j mean value of P 0 :
[0036] p 0 = Σ j = 1 m p j / m
[0037] Calculate the mean p j The variance σ of 0 :
[0038] σ 0 = ...
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