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Based on analyzing the failure mechanism of the tools spindle, the monitoring parameters, responding to the spindle failures, have been found. It will have come true that monitoring failures and early warning, by comparing the monitoring data with the safety threshold. Decomposing and re-organizing the failures signals by using wave packet, and cepstrum analysis, it can make a off-line diagnosis aimed...
Probabilistic neural network (PNN) model is a kind of artificial neural network, which is simple in structure, easy for training and widely used. This method uses Bayes classifying and decision-making theory to constitute the mathematic model of system. With Gauss function as activating ones, it possesses the characteristics of strong nonlinear processing and antinterfering ability. This paper introduces...
According to experiments data and fault tree analysis, eight feature parameters are selected as follows: (1)iodine cavity pressure; (2)wenshi pipe pressure; (3)p-t curve; (4)main helium pressure; (5)chlorine pressure; (6)oxygen generator pressure; (7)upper pressure; (8)cavity pressure; four faults are selected: (1)the iodine nozzle jam; (2)the pneumatic valve of iodine does not open entirely; (3)valves...
In order to meet the fast maintenance requirements of modern missile, distributed fault diagnosis expert system is used in the decision-making of launch and maintenance of missile. Firstly, this paper builds missile distributed fault diagnosis expert system based on FMEA (fault model and effects analysis). According to the maintenance requirements, then diagnosis task can be divided into two stages,...
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