The development of data mining methods criteria to identify failures of aircraft control surface actuator | Zendy

Georgy Veresnikov | Zendy; Alexey Skryabin | Zendy

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The development of data mining methods criteria to identify failures of aircraft control surface actuator

Author(s) -

Georgy Veresnikov,

Alexey Skryabin

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.08.082

Subject(s) - computer science , actuator , task (project management) , control (management) , state (computer science) , data mining , artificial intelligence , systems engineering , algorithm , engineering

The article is devoted to the actual task of developing criteria for evaluating methods of data mining to identify the technical state of the aircraft control surface actuator. A list of criteria and their practical significance are presented in the framework of the problem of recognition of failures and degradations of the electro mechanical actuator. On the basis of the proposed criteria, there may be requirements for data mining methods for their use in the system of early diagnosis (health usage monitoring system) of technical systems.

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