11 research outputs found

    Π€ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ΅ диагностированиС сСтСй ΠΈΠ· Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΎΠ² состояний

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    The problem of functional diagnosis of digital devices forming a network of state automata is considered. This task for the network components is supposed to be solved, and the corresponding diagnostic devices for them are provided. The possibility of their population transformation into the tools for the entire network diagnostics is shown. The result of the transformation with the restrictions on the number of components with errors is simplified in compare with the original population. A procedure is proposed allowing to find analytical expressions defining an auxiliary control and an error discriminator for the most probable case of error localization (all errors are concentrated in a certain component of the network). The first part of the article provides a solution of the functional diagnosis problem for the case when the parity functions of all components are scalar, and the class of detectable errors is given by unit multiplicity. Next, the result generalizes for the case of vector functions, where multiple errors can occur. The procedure minimizes the sought for functional diagnosis devices with respect to the order when preserving the initial detecting ability within any network component. The obtained results are illustrated by an example of construction of functional diagnosis equipment for ranging signal processing device in broadband short-range radio engineering navigation system.РассмотрСна Π·Π°Π΄Π°Ρ‡Π° Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ диагностирования Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… устройств, ΠΎΠ±Ρ€Π°Π·ΡƒΡŽΡ‰ΠΈΡ… ΡΠ΅Ρ‚ΡŒ ΠΈΠ· Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΎΠ² состояний. ΠŸΡ€Π΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅Ρ‚ΡΡ, Ρ‡Ρ‚ΠΎ эта Π·Π°Π΄Π°Ρ‡Π° для ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΎΠ² сСти Ρ€Π΅ΡˆΠ΅Π½Π° ΠΈ ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠ΅ срСдства диагностирования для Π½ΠΈΡ… построСны. Показана Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ прСобразования ΠΈΡ… совокупности Π² срСдства диагностирования всСй сСти, ΠΏΡ€ΠΈΡ‡Π΅ΠΌ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ прСобразования ΠΏΡ€ΠΈ Π½Π°Π»ΠΈΡ‡ΠΈΠΈ ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½ΠΈΠΉ Π½Π° число ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΎΠ² с ошибками упрощаСтся ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с исходной ΡΠΎΠ²ΠΎΠΊΡƒΠΏΠ½ΠΎΡΡ‚ΡŒΡŽ. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΏΡ€ΠΎΡ†Π΅Π΄ΡƒΡ€Π°, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰Π°Ρ для Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ вСроятного случая Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ ошибок (всС ошибки сосрСдоточСны Π² Π½Π΅ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΌ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Π΅ сСти) Π½Π°ΠΉΡ‚ΠΈ аналитичСскиС выраТСния, Π·Π°Π΄Π°ΡŽΡ‰ΠΈΠ΅ Π²ΡΠΏΠΎΠΌΠΎΠ³Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½Ρ‹ΠΉ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ ΠΈ дискриминатор ошибок. Π’ ΠΏΠ΅Ρ€Π²ΠΎΠΉ части ΡΡ‚Π°Ρ‚ΡŒΠΈ Ρ€Π΅ΡˆΠ΅Π½ΠΈΠ΅ Π·Π°Π΄Π°Ρ‡ΠΈ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ диагностирования Π΄Π°Π½ΠΎ для случая, ΠΊΠΎΠ³Π΄Π° Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ соотвСтствия всСх ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΎΠ² скалярны, Π° класс ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠΈΠ²Π°Π΅ΠΌΡ‹Ρ… ошибок Π·Π°Π΄Π°Π½ Π΅Π΄ΠΈΠ½ΠΈΡ‡Π½ΠΎΠΉ ΠΊΡ€Π°Ρ‚Π½ΠΎΡΡ‚ΡŒΡŽ. Π”Π°Π»Π΅Π΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ обобщаСтся для случая Π²Π΅ΠΊΡ‚ΠΎΡ€Π½Ρ‹Ρ… Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΉ, ΠΏΡ€ΠΈ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΌ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ появлСниС ΠΌΠ½ΠΎΠ³ΠΎΠΊΡ€Π°Ρ‚Π½Ρ‹Ρ… ошибок. ΠŸΡ€ΠΎΡ†Π΅Π΄ΡƒΡ€Π° ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·ΠΈΡ€ΡƒΠ΅Ρ‚ искомыС устройства Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ диагностирования ΠΏΠΎ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΡŽ порядка ΠΏΡ€ΠΈ сохранСнии исходной ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠΈΠ²Π°ΡŽΡ‰Π΅ΠΉ способности Π² Ρ€Π°ΠΌΠΊΠ°Ρ… любого ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Π° сСти. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Π΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΈΠ»Π»ΡŽΡΡ‚Ρ€ΠΈΡ€ΡƒΡŽΡ‚ΡΡ ΠΏΡ€ΠΈΠΌΠ΅Ρ€ΠΎΠΌ построСния срСдств Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ диагностирования для устройства ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Π΄Π°Π»ΡŒΠ½ΠΎΠΌΠ΅Ρ€Π½ΠΎΠ³ΠΎ сигнала ΡˆΠΈΡ€ΠΎΠΊΠΎΠΏΠΎΠ»ΠΎΡΠ½ΠΎΠΉ радиотСхничСской систСмы Π±Π»ΠΈΠΆΠ½Π΅ΠΉ Π½Π°Π²ΠΈΠ³Π°Ρ†ΠΈΠΈ

    Π€ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ΅ диагностированиС ΡƒΠ·Π»ΠΎΠ² радиосистСм со статичСскими нСлинСйностями

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    The problem of diagnosis of functional nodes that are part of radio systems with a static nonlinearity and allowing for the decomposition into components with scalar inputs and outputs. It is shown that in this case it is possible to construct means of functional diagnosis in the form of a Bank of observers, allowing to solve the task not only of detection but also the localization of errors to the maximum possible depth. Offered an appropriate synthesis algorithm means of diagnosis, which is illustrated by an example.РассмотрСна Π·Π°Π΄Π°Ρ‡Π° Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ диагностирования ΡƒΠ·Π»ΠΎΠ², входящих Π² состав радиотСхничСских систСм, ΠΈΠΌΠ΅ΡŽΡ‰ΠΈΡ… ΡΡ‚Π°Ρ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΡΡ‚ΡŒ ΠΈ Π΄ΠΎΠΏΡƒΡΠΊΠ°ΡŽΡ‰ΠΈΡ… Π΄Π΅ΠΊΠΎΠΌΠΏΠΎΠ·ΠΈΡ†ΠΈΡŽ Π½Π° ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Ρ‹ со скалярными Π²Ρ…ΠΎΠ΄Π°ΠΌΠΈ ΠΈ Π²Ρ‹Ρ…ΠΎΠ΄Π°ΠΌΠΈ. Показано, Ρ‡Ρ‚ΠΎ Π² этом случаС ΠΌΠΎΠΆΠ½ΠΎ ΠΏΠΎΡΡ‚Ρ€ΠΎΠΈΡ‚ΡŒ срСдства Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ диагностирования Π² Π²ΠΈΠ΄Π΅ Π±Π°Π½ΠΊΠ° Π½Π°Π±Π»ΡŽΠ΄Π°Ρ‚Π΅Π»Π΅ΠΉ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰Π΅Π³ΠΎ Ρ€Π΅ΡˆΠΈΡ‚ΡŒ Π·Π°Π΄Π°Ρ‡Ρƒ Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ обнаруТСния, Π½ΠΎ ΠΈ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ ошибок с максимально Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΠΉ Π³Π»ΡƒΠ±ΠΈΠ½ΠΎΠΉ. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ синтСза срСдств диагностирования, Ρ€Π°Π±ΠΎΡ‚Π° ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ³ΠΎ ΠΏΡ€ΠΎΠΈΠ»Π»ΡŽΡΡ‚Ρ€ΠΈΡ€ΠΎΠ²Π°Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€ΠΎΠΌ

    Локализация ошибок Π² сСтях ΠΈΠ· Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΎΠ² состояний

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    Introduction. In the paper a fault isolation problem in the devices combining digital unit by functional diagnostics methods is considered. Networks of state automates are accepted as mathematical models of the devices. Assumed, that functional diagnostics devices for each network component are preliminarily constructed in an optimal way and they consist of a control automata and of a fault discriminator of unit dimension.Aim. To develop functional diagnostics method based on theoretical analysis allowing to decide fault isolation problem in networks of state automation and to reduce computational complexity and hardware redundancy.Materials and methods. An analysis of mathematical description of a network of state automation and functional diagnostics devices for each network component was presented in terms of algebraic theory of functional diagnosis of dynamic systems. A possibility to transform the set of known functional diagnostics devices of the network was demonstrated. The possibility provided a localization of the network component with an error, if the component was unique.Results. A searching procedure of the analytical equations determining supervision automata and fault discriminator for the whole network was proposed. The case when initial functional diagnostics devices for each network component were defined by scalar functions was considered. The obtained result was generalized to the case, when mentioned devices were defined by vector functions. The application of the described method was demonstrated in the example of construction functional diagnostics devices for simplified fragment of the device for forming priorities of mutual aircraft navigation system.Conclusion. Estimation of results by an order criterion was obtained. It was established that with an increase in the number of network components, the reduction of intentioned redundancy by functional diagnostics devices compared with the original version increased significantly.Π’Π²Π΅Π΄Π΅Π½ΠΈΠ΅. Для ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ достовСрности Π²Ρ‹Ρ…ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ систСм Ρ€Π°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°Ρ†ΠΈΠΈ ΠΈ Ρ€Π°Π΄ΠΈΠΎΠ½Π°Π²ΠΈΠ³Π°Ρ†ΠΈΠΈ Π½Π΅Ρ€Π΅Π΄ΠΊΠΎ трСбуСтся локализация ΡƒΠ·Π»ΠΎΠ² с ошибками Π² Ρ€Π΅ΠΆΠΈΠΌΠ΅ Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ. Один ΠΈΠ· самых эффСктивных способов Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ‡ΠΈ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ состоит Π²ΠΎ Π²Π²Π΅Π΄Π΅Π½ΠΈΠΈ Π² состав систСм срСдств Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ диагностирования. Однако для систСм, ΠΈΠΌΠ΅ΡŽΡ‰ΠΈΡ… большоС количСство Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… ΡƒΠ·Π»ΠΎΠ², Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ этого способа Π½Π°ΠΊΠ»Π°Π΄Ρ‹Π²Π°ΡŽΡ‚ΡΡ ограничСния: ΡΠ»ΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ диагностичСской Π·Π°Π΄Π°Ρ‡ΠΈ ΠΈ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ сокращСния Π²Π²Π΅Π΄Π΅Π½Π½ΠΎΠΉ Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚Π½ΠΎΠΉ избыточности. ΠŸΡƒΡ‚ΠΈ Ρ€Π΅Π΄ΡƒΠΊΡ†ΠΈΠΈ этих ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½ΠΈΠΉ ΠΏΡ€ΠΈ Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΈ Π·Π°Π΄Π°Ρ‡ΠΈ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ Π² упомянутых систСмах исслСдованы Π² настоящСй ΡΡ‚Π°Ρ‚ΡŒΠ΅.ЦСль Ρ€Π°Π±ΠΎΡ‚Ρ‹. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° ΠΌΠ΅Ρ‚ΠΎΠ΄Π° синтСза срСдств Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ диагностирования, Ρ€Π΅ΡˆΠ°ΡŽΡ‰Π΅Π³ΠΎ Π·Π°Π΄Π°Ρ‡Ρƒ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ ошибок систСм Ρ€Π°Π΄ΠΈΠΎΠ»ΠΎΠΊΠ°Ρ†ΠΈΠΈ ΠΈ Ρ€Π°Π΄ΠΈΠΎΠ½Π°Π²ΠΈΠ³Π°Ρ†ΠΈΠΈ ΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰Π΅Π³ΠΎ ΡΠ½ΠΈΠ·ΠΈΡ‚ΡŒ Π²Ρ‹Ρ‡ΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½ΡƒΡŽ Ρ‚Ρ€ΡƒΠ΄ΠΎΠ΅ΠΌΠΊΠΎΡΡ‚ΡŒ ΠΈ ΡƒΠΌΠ΅Π½ΡŒΡˆΠΈΡ‚ΡŒ Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚Π½Ρ‹Π΅ Π·Π°Ρ‚Ρ€Π°Ρ‚Ρ‹.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ качСствС матСматичСских ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ систСм приняты сСти ΠΈΠ· Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΎΠ² состояний. ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½ Π°Π½Π°Π»ΠΈΠ· матСматичСского описания сСти ΠΈΠ· Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ‹Ρ… Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΎΠ² состояний, Π° Ρ‚Π°ΠΊΠΆΠ΅ срСдств Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ диагностирования ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Π° сСти. Показана Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ прСобразования совокупности извСстных срСдств Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ диагностирования сСти, ΠΎΠ±Π΅ΡΠΏΠ΅Ρ‡ΠΈΠ²Π°ΡŽΡ‰Π°Ρ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΡŽ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Π° сСти с ошибкой ΠΏΡ€ΠΈ условии Π΅Π³ΠΎ СдинствСнности.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΏΡ€ΠΎΡ†Π΅Π΄ΡƒΡ€Π° поиска аналитичСских Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½ΠΈΠΉ, Π·Π°Π΄Π°ΡŽΡ‰ΠΈΡ… ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½Ρ‹ΠΉ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ ΠΈ дискриминатор ошибок для всСй сСти. РассмотрСн случай, ΠΊΠΎΠ³Π΄Π° исходныС срСдства Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ диагностирования ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΎΠ² Π·Π°Π΄Π°Π½Ρ‹ скалярными функциями. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹ΠΉ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ ΠΎΠ±ΠΎΠ±Ρ‰Π΅Π½ Π½Π° случай Π²Π΅ΠΊΡ‚ΠΎΡ€Π½ΠΎΠ³ΠΎ задания Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΉ упомянутых срСдств.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Анализ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΏΠΎ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΡŽ порядка ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚, Ρ‡Ρ‚ΠΎ ΠΏΡ€ΠΈ ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠΈ числа ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΎΠ² сСти Π²Ρ‹ΠΈΠ³Ρ€Ρ‹Ρˆ ΠΏΠΎ избыточности, вносимой срСдствами Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ диагностирования, ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с исходным Π²Π°Ρ€ΠΈΠ°Π½Ρ‚ΠΎΠΌ, сущСствСнно растСт для сСти, состоящСй ΠΈΠ· сСми ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΎΠ². Π’ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ практичСского примСнСния Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² исслСдования ΠΏΠΎΠΊΠ°Π·Π°Π½Π° Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ‡ΠΈ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ для ΡƒΠΏΡ€ΠΎΡ‰Π΅Π½Π½ΠΎΠ³ΠΎ Ρ„Ρ€Π°Π³ΠΌΠ΅Π½Ρ‚Π° устройства формирования ΠΏΡ€ΠΈΠΎΡ€ΠΈΡ‚Π΅Ρ‚ΠΎΠ² систСмы Π²Π·Π°ΠΈΠΌΠ½ΠΎΠΉ Π½Π°Π²ΠΈΠ³Π°Ρ†ΠΈΠΈ Π»Π΅Ρ‚Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ²

    Fault Isolation in Network of State Automates

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    Introduction. In the paper a fault isolation problem in the devices combining digital unit by functional diagnostics methods is considered. Networks of state automates are accepted as mathematical models of the devices. Assumed, that functional diagnostics devices for each network component are preliminarily constructed in an optimal way and they consist of a control automata and of a fault discriminator of unit dimension.Aim. To develop functional diagnostics method based on theoretical analysis allowing to decide fault isolation problem in networks of state automation and to reduce computational complexity and hardware redundancy.Materials and methods. An analysis of mathematical description of a network of state automation and functional diagnostics devices for each network component was presented in terms of algebraic theory of functional diagnosis of dynamic systems. A possibility to transform the set of known functional diagnostics devices of the network was demonstrated. The possibility provided a localization of the network component with an error, if the component was unique.Results. A searching procedure of the analytical equations determining supervision automata and fault discriminator for the whole network was proposed. The case when initial functional diagnostics devices for each network component were defined by scalar functions was considered. The obtained result was generalized to the case, when mentioned devices were defined by vector functions. The application of the described method was demonstrated in the example of construction functional diagnostics devices for simplified fragment of the device for forming priorities of mutual aircraft navigation system.Conclusion. Estimation of results by an order criterion was obtained. It was established that with an increase in the number of network components, the reduction of intentioned redundancy by functional diagnostics devices compared with the original version increased significantly

    The Diagnosis of Functional Nodes of Radio Systems with Static Nonlinearities

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    The problem of diagnosis of functional nodes that are part of radio systems with a static nonlinearity and allowing for the decomposition into components with scalar inputs and outputs. It is shown that in this case it is possible to construct means of functional diagnosis in the form of a Bank of observers, allowing to solve the task not only of detection but also the localization of errors to the maximum possible depth. Offered an appropriate synthesis algorithm means of diagnosis, which is illustrated by an example

    Functional Diagnosis of Digital State Automation Networks

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    The problem of functional diagnosis of digital devices forming a network of state automata is considered. This task for the network components is supposed to be solved, and the corresponding diagnostic devices for them are provided. The possibility of their population transformation into the tools for the entire network diagnostics is shown. The result of the transformation with the restrictions on the number of components with errors is simplified in compare with the original population. A procedure is proposed allowing to find analytical expressions defining an auxiliary control and an error discriminator for the most probable case of error localization (all errors are concentrated in a certain component of the network). The first part of the article provides a solution of the functional diagnosis problem for the case when the parity functions of all components are scalar, and the class of detectable errors is given by unit multiplicity. Next, the result generalizes for the case of vector functions, where multiple errors can occur. The procedure minimizes the sought for functional diagnosis devices with respect to the order when preserving the initial detecting ability within any network component. The obtained results are illustrated by an example of construction of functional diagnosis equipment for ranging signal processing device in broadband short-range radio engineering navigation system
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