Abstract
The increasing weapon equipments bring forth burdensome test and diagnosis tasks. Some problems that have been emerged in the developing maintenance and support system of multiform weapon equipments have been analyzed, such as the poor generality, the difficulty of sharing knowledge and interchanging information. A method of constructing universal test and diagnosis platform based on the AI-ESTATE standard is proposed in the paper. Aiming this, AI-ESTATE standard provides basic method to facilitate information exchange by defining a set of knowledge and data specification formats using information model, by defining formal services to form interface standards among diagnostic reasoner and other test system components. The system architecture of general test and diagnosis software platform applies the COM component technology to realize the separation of between test and diagnosis based on the principle of generalize and standardize. Then the function, constitution and realization of its general diagnostic software based on AI-ESTATET are researched in this paper. The realization of diagnosis model management services and reasoner manipulation services is described. This platform can test and diagnosis multiform weapon equipments, such as missile equipment, radar equipment and multiform artilleries. Especially, it solves the problem of sharing information and portability of software by information model and service.
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IEEE Std 1232-2010, IEEE Standard for Artificial Intelligence Exchange and Service Tie to All Test Environments (AI-ESTATE)
IEEE Std 1232-2002, IEEE Standard for Artificial Intelligence Exchange and Service Tie to All Test Environments (AI-ESTATE)
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State key laboratory of CEMEE open foundation (2017Z0301B1).
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Jiang, H., Wang, C., Li, X., Wei, B. (2019). Design and Realization of General Test and Diagnostic Software Platform Based on AI-ESTATE. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_205
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DOI: https://doi.org/10.1007/978-981-10-6571-2_205
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