An AI-assistant health state evaluation method of sensing devices

Abstract

The health states of sensing devices have a long-reaching influence on many smart application scenarios, such as smart energy and intelligent manufacturing. This paper proposes an ensemble methodology of the health-state evaluation of sensing devices, based on artificial intelligence (AI) technologies, which firstly takes into the operational characteristics, then designs a method of scenario identification to extract the typical scenarios, and subsequently puts forth a specific health-state evaluation. This method could infer the causalities of faulty devices effectively, which provides the interpretable basis for the health-state evaluation and enhances the evaluation accuracy of the health states. The suggested method has the promising potential to support the efficiently fine management of sensing devices in smart age.

Keywords

Sensing devices / Scenario identification / Health state evaluation / Artificial intelligence (AI)

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Funding

China National Key Research and Development Programme(SQ2023YFA1000183)

Key Projects of Scientific and Technological Research of Chongqing Municipal Education Commission(KJZD-K202300510)

RIGHTS & PERMISSIONS

Shanghai University and Periodicals Agency of Shanghai University and Springer-Verlag GmbH Germany, part of Springer Nature