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Instruments and Systems: Monitoring, Control, and Diagnostics

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Diagnostic Model of Redundant Airborne Computation System
V.N. RUSANOV S.A. KOROLEV

In redundant airborne computation system (ACS) proposed for allying in air-space industry active channel self-diagnostics is
provided by the channel processor. To evaluate the system status there is proposed a criterion of the active channel serviceability
based on diagnostic task solution jointly with a standard task. The diagnostic task is started in some definite period and
performs algorithm similar to the standard one on the basis of initial data chosen a priori. Coincidence of this algorithm
performance with the result known a priori as well as successive passing the minimal tests of memory accessibility of inputoutput
devices and the slave modules is considered to be the active channel serviceability criterion. In case of successful selfdiagnostics
the processor proceeds generating TestOK signal pulse sequence received by redundancy device. If during the selfdiagnostics
a malfunction or a failure is revealed the processor stops OK signal generation and the backing up device provides
switching over to the redundant channel. It is important that in the proposed system the redundant channel connection will
take place not only in case of revealing a malfunction or a failure by the diagnostic task , but also in case of the self diagnostic
program disfunction caused by malfunction or a failure of the hardware taking part in OK signal generation. According the
ACS principle of operation its diagnosis model was developed. It is based on the active channel separation into a controlled
and a non-controlled part. There were designed ACS self-diagnostics factors for quality numerical evaluation of the control
being carried out. There was proposed a procedure for calculating them on the basis of the failure rate data. In addition to that
a method for defining monitoring efficiency factor during RAM partial test was designed.
Key words: airborne computation system, cold redundancy, self-diagnosis, diagnostic task, diagnostic model, control
coefficient, self-diagnosis validity.

Contacts: E-mail: vRusanov@niiis.nnov.ru

Pp. 59-64.

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