The invention provides an attitude and
orbit control data analysis method based on a
decision tree. The method comprises the following steps: attitude and
orbit control data preprocessing, i.e., finishing remote measurement data deduplicating, remote measurement data sequencing, remote measurement
data extraction and remote measurement data
outlier rejection through the data preprocessing;
hierarchical modeling of an attitude and
orbit control, i.e., establishing an information and
control flow chart of the attitude and orbit control, determining remote measurement variables related to current faults of the attitude and orbit control, and taking the variables as input variables for
decision tree analysis; establishing a
flow chart of the
decision tree analysis; and decision
tree modeling, i.e., creating a decision tree C5.0
algorithm model, defining a model name in the model, boosting
algorithm test frequency, and trimming attributes and a minimum recording number of each sub
branch. The method provided by the invention solves the problem of difficulties in
satellite attitude and orbit control complex
data analysis and has a certain guidance effect on
satellite fault identification, diagnosis and anticipation.