A method of spacecraft abnormal state detection based on telemetry data is proposed. The abnormal state of spacecraft is detected by telemetry data preprocessing, correlation calculation, extremum point extraction and abnormal state extraction. This method makes full use of the historical telemetry parameter samples, combines the characteristics of the spacecraft telemetry parameter data and the law of data variation, compares the correlation between the telemetry data over a period of time and its historical sample data, and compares the extreme point errors, so as to realize the spacecraft abnormal state detection with only a small amount of historical data and without design knowledge. It overcomes the dependence of existing abnormal state detection methods on expert experience knowledge and the problem that the existing detection methods cannot solve the abnormal changes of telemetry parameters which do not exceed the normal range. It provides an effective and intuitive method and tool for spacecraft managers to analyze the changes of spacecraft state.

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