METHOD OF CALIBRATING INTELLIGENT SENSORS Russian patent published in 2020 - IPC G01D18/00 

Abstract RU 2730367 C1

FIELD: physics.

SUBSTANCE: present invention relates to automatic or automated calibration of systems and sensors by "learning" an intelligent sensor during calibration. Intelligent sensors are calibrated by feeding a set of known signals to said input, observing a plurality of output signals and using an artificial neural network for approximation (interpolation) of a calibrated sensor mathematical model which must satisfy certain conditions in accordance with a commutative diagram corresponding to the isomorphism principle. By training an artificial neural network, an inverse (or direct) model of the calibrated intelligent sensor is implicitly generated, allowing with a given accuracy to recover the known set of signals acting on the input of the system (or directly observed at its output).

EFFECT: technical result is simple procedures for designing sensors based on use of the new technology of individual calibration and training disclosed in the invention, as a result of which an "intelligent" sensor can be obtained, which provides for recovery of the physical quantity acting thereon with a given accuracy in the entire range of operating conditions, and unique for sensor of specific type selective increase of sensitivity in range of change of measured physical quantity.

1 cl, 3 dwg

Similar patents RU2730367C1

Title Year Author Number
METHOD OF IDENTIFYING NONLINEAR SYSTEMS 2019
  • Kulabukhov Vladimir Sergeevich
  • Tsatsin Aleksandr Alekseevich
  • Zaets Viktor Fedorovich
  • Tuktarev Nikolaj Alekseevich
  • Akhmedova Sabina Kurbanovna
  • Bulgakov Valerij Valerevich
RU2714612C1
SMART SENSOR DEVELOPMENT SYSTEM 2019
  • Kulabukhov Vladimir Sergeevich
  • Tsatsin Aleksandr Alekseevich
  • Zaets Viktor Fedorovich
  • Tuktarev Nikolaj Alekseevich
  • Akhmedova Sabina Kurbanovna
  • Bulgakov Valerij Valerevich
RU2714039C1
RESERVATION METHOD OF CHANNELS OF STRUCTURAL AND FUNCTIONAL MODULES OF AIRBORNE DIGITAL COMPUTERS ON THE BASIS OF INTELLIGENT DIAGNOSTIC SYSTEM UNDER CONDITIONS OF INTEGRATED MODULAR AVIONICS 2021
  • Bukirev Aleksandr Sergeevich
RU2778366C1
SYSTEM FOR OPERATIONAL IDENTIFICATION OF MARINE TARGETS BY THEIR INFORMATION FIELDS BASED ON NEURO-FUZZY MODELS 2021
  • Pyatakovich Valerij Aleksandrovich
RU2763384C1
SYSTEM FOR DETECTION AND CLASSIFICATION OF SEA TARGETS USING MATHEMATICAL MODEL OF TARGET TYPE DETERMINATION 2020
  • Pyatakovich Valerij Aleksandrovich
  • Filippov Evgenij Gennadevich
  • Pyatakovich Natalya Vladislavovna
  • Vasilenko Anna Mikhajlovna
  • Alekseev Oleg Adolfovich
RU2726992C1
METHOD AND DEVICE OF TECHNICAL DIAGNOSTICS OF COMPLEX PROCESS EQUIPMENT ON BASIS OF NEURON NET 2013
  • Solomentsev Jurij Mikhajlovich
  • Sheptunov Sergej Aleksandrovich
  • Kabak Il'Ja Samuilovich
  • Sukhanova Natal'Ja Vjacheslavovna
RU2563161C2
GLACIAL GEOMORPHOLOGICAL MAPPING METHOD 2014
  • Zhukov Jurij Nikolaevich
  • Chernjavets Vladimir Vasil'Evich
  • Len'Kov Valerij Pavlovich
  • Brodskij Pavel Grigor'Evich
  • Chernjavets Anton Vladimirovich
RU2570334C1
METHOD FOR OPERATIONAL IDENTIFICATION OF MARINE TARGETS BY THEIR INFORMATION FIELDS BASED ON NEURO-FUZZY MODELS 2021
  • Pyatakovich Valerij Aleksandrovich
  • Pyatakovich Natalya Vladislavovna
  • Filippova Alina Valerevna
  • Alekseev Oleg Adolfovich
RU2763125C1
SYSTEM FOR INTEGRAL MONITORING OF OPERATION OF AIRCRAFT ONBOARD EQUIPMENT 2010
  • Kalinin Jurij Ivanovich
  • Drozhzhina Anna Jur'Evna
  • Makarova Alla Jur'Evna
  • Kalinin Oleg Jur'Evich
  • Frolkina Ljudmila Veniaminovna
  • Abakumov Petr Nikolaevich
RU2431175C1
METHOD OF SELECTING SEQUENCE OF SIGNALS FOR CONTROLLING ACTUATOR WITHOUT FEEDBACK 2023
  • Nikolaev Arsenij Andreevich
  • Korolev Ivan Vladimirovich
RU2826280C1

RU 2 730 367 C1

Authors

Kulabukhov Vladimir Sergeevich

Tsatsin Aleksandr Alekseevich

Zaets Viktor Fedorovich

Tuktarev Nikolaj Alekseevich

Akhmedova Sabina Kurbanovna

Bulgakov Valerij Valerevich

Dates

2020-08-21Published

2019-06-10Filed