FIELD: physics.
SUBSTANCE: in the method of remote monitoring and forecasting the state of technological objects related to turbo-aggregates, data are received from the monitoring object; on the basis of this data, a reference sample of performance indicators is formed and the state matrices are built from the components of the sampling points. Based on the MSET method, empirical models are built by the state matrix for predicting the state of an object. The components of the residuals are determined from the difference in the components of the observed point and the point simulating the state of the object. The discrepancy is determined, reflecting the influence degree of the object performance on the deviation of the indicators of the object parameters. Incoming information is analysed from the control object. The degree of deviation of the object parameters is determined from the indicators of empirical models and the discrepancies are identified for such indicators. The calculated faults are ranked. The empirical models are updated based on the filtered sample and a deviation signal is generated from the control object parameter based on the updated model.
EFFECT: forecasting accuracy increase.
25 cl, 3 dwg
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Authors
Dates
2017-08-01—Published
2016-07-15—Filed