AUTOMATIC SYSTEM WITH NEURO-FUZZY NETWORK FOR COMPLEX TECHNICAL DIAGNOSTICS AND CONTROL OF SHIP POWER PLANT Russian patent published in 2020 - IPC B63H21/22 G06F17/00 G05B17/02 

Abstract RU 2737457 C1

FIELD: physics.

SUBSTANCE: invention relates to systems for diagnostics and remote control of ship power plants (SPP) using fuzzy logic, in particular, for procedure for collection, accumulation, transfer and centralization of diagnostic and functional parameters of main SPP elements. System comprises a diagnostic module connected to an intelligent module for processing and analyzing SPP parameters, an automatic control unit. Diagnostic module includes a unit for integrated diagnostics of SPP elements S1 to Sn and a unit for sorting parameters of diagnostic objects from PS1 to PSn, which provide synchronous transmission of controlled parameters to intelligent module on parallel channels, wherein the intelligent module is constructed using a neural-fuzzy network, which is in form of a multilayer perceptron, which provides complex current information on the internal state of the SPP and external actions on it.

EFFECT: provides for complex technical diagnostics and SPP control meeting requirements of high level of reliability of determination of both current technical state and realistic prediction of change of technical state.

4 cl, 1 dwg

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RU 2 737 457 C1

Authors

Epikhin Aleksej Ivanovich

Dates

2020-11-30Published

2020-06-26Filed