A multi-dimensional association analysis method for equipment combat test data
A technology of test data and association analysis, applied in data mining, data processing applications, electrical digital data processing, etc., can solve problems such as inability to process a large amount of time series data, and achieve the effect of improving the level of post-event analysis
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Embodiment 1
[0046] Such as figure 1 As mentioned above, step 100 is executed to construct a combat test data content system, and the combat test data is divided into basic equipment data, test environment data, combat allocation data, combat action data, test command data, equipment operator data, and equipment operating status data .
[0047] Execute step 110, clean and classify the combat test data, perform missing value processing and abnormal value processing on the combat test data, and classify and sort out the combat test data according to the previously constructed combat test data content system.
[0048] Execute step 120, data selection and preparation, screen the classified and grouped operational test data according to the purpose of data mining, and select interested data sets.
[0049] Execute step 130, static data preprocessing, wherein the static data includes basic equipment data, test environment data, combat deployment data and equipment operator data in the data set. ...
Embodiment 2
[0056] A correlation analysis method for combat test data, which can analyze the correlation between various combat test data, and can provide guidance for the design of combat test schemes, the review of test actions, and the innovation of combat test methods.
[0057] Such as Figure 5 As shown, a combat test data association analysis method includes the following steps:
[0058] Step 1: If Image 6 As shown, the content system of combat test data is constructed. Combat test data is divided into seven categories: basic equipment data, test environment data, combat deployment data, combat action data, test command data, equipment operator data, and equipment operating status data.
[0059] Step 2: Operation test data cleaning and classification. Missing value processing and abnormal value processing are carried out on the combat test data, and the combat test data is sorted out according to the content system of the combat test data constructed above.
[0060] Step 3: Dat...
Embodiment 3
[0084] A method for correlation analysis of combat test data, comprising:
[0085] 1. Combat test data cleaning and classification.
[0086] Missing value processing and abnormal value processing are carried out on the combat test data, and the combat test data is sorted out according to the content system of the combat test data constructed above.
[0087] 2. Define the problem.
[0088] As shown in Table 1, here we mainly use the proposed combat test correlation analysis method to find equipment operating status and basic equipment data, test environment data, combat allocation data, combat action data, test command data, and equipment data for a certain type of equipment. Association between operator data, etc.
[0089] Table 1 defines the problem set
[0090]
[0091] 3. Data selection and preparation.
[0092] Aiming at the problem of definition, 65,345 pieces of equipment operation status data of a certain type of equipment in the combat test were selected to atta...
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