Time domain fusion fault diagnosis method based on DS evidence theory
A technology of evidence theory and fault diagnosis, applied in the fields of instruments, character and pattern recognition, computer components, etc., can solve problems such as catastrophic accidents, degradation, loss of function, etc., to improve robustness, simple calculation, and realization of processing. Effect
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[0023] The present invention will be further described below in conjunction with accompanying drawings and examples. An example of motor rotor fault diagnosis is given here, and the experimental data comes from [1]. [1] There are three types of failures (here F 1 , F 2 , F 3 Indicates), each fault has four kinds of characteristic data, each contains five groups of data, and each group has 40 observations. For the feature data of each feature of each fault, four groups are selected as training samples to generate a fault triangular fuzzy number model. Select Fault F 3 Five observations in the remaining set of data (data not selected as training samples) of the four features are used as test samples to illustrate the implementation steps of the proposed fault diagnosis method.
[0024] Step 1: Input three types of faults (denoted as F 1 , F 2 , F 3 ) Fault sample data D of four characteristics ij (i=1,2,...,3,j=1,2,...,4), the fault feature is a feature that can be used...
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