Electronics Optics & Control, Volume. 22, Issue 9, 106(2015)
Application of Grey Linear Exponential Model in Fault Prediction
Fault data of weapon systems are small sample grey sequencewhich often take on the wobbly characteristic.It is found by research that modeling of the grey wobbly sequence does not satisfy the condition of GM (11) model.Thereforeit is proposed to use the dynamic exponent transformation for transforming the grey wobbly sequence into a monotonically increasing sequence with certain grey exponent lawand then to establish a GM (11) modelwhich is called as grey linear power exponent function curve model (GIM (1)).For GIM (1)the unary linear regression modeling method is used for model parameter identification.The results prove that GIM (1) model has good fitting and prediction accuracy for the grey wobbly sequence of the weapon systems fault sequencewhich not only has the advantage of grey identification algorithmbut also can meet the identification requirement of general system.
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[in Chinese], [in Chinese]. Application of Grey Linear Exponential Model in Fault Prediction[J]. Electronics Optics & Control, 2015, 22(9): 106
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Received: Sep. 4, 2014
Accepted: --
Published Online: Oct. 22, 2015
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