FIELD: measurement equipment.
SUBSTANCE: method involves force action on the surface of a test object, recording of a set of electrical signals of input information with the information sensors installed on the test object; signals of the information sensors are determined with changes in force action on the surface of the test object. A use is made of information sensors installed on the test object and receiving changes in parameters of the test object, electronic filters to increase signal-to-noise ratio, which are connected to the outputs of the sensors and connected to the inputs of an electronic analogue circuit implementing a neural network model of reliable operation of the test object; with that, to another group of inputs of the electronic analogue circuit there connected is a unit for supply of a signal for retraining of a model with wears, and to its output there in-series connected is approximation unit of time dependences of sets of electrical signals, a shaping unit of time series of forecasts of reliable operation of the test object, an extrapolation unit of the value of the set of electrical signals at the output of the electronic analogue circuit till a limit value and determination of residual life, to the input of which an extrapolation model setting unit is connected.
EFFECT: improving reliability of forecast results; improving flexibility of the method and enlarging its application scope.
3 cl, 3 dwg
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Authors
Dates
2014-11-20—Published
2013-06-28—Filed