Abstract
The condition-based maintenance (CBM) strategy utilizing continuous monitoring with proposed Combined Sensor Network (CSN) technology is discussed in this paper. The paper introduces a decision-making approach for design of optimal integrated monitoring and diagnostic architecture that combines maintenance decisions with CSN-based diagnostic system and its integration with Structural Health Monitoring (SHM) approaches for achieving efficient system for maintenance and lowering life-cycle cost of industrial structures. The technology prototype is tested in laboratory and real-life conditions on a 20 m tall airport radar tower in Riga, Latvia.
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Acknowledgement
The paper uses materials related to research 1.2.1.1/16/A/008 “The Study of Dynamic Properties of Aviation Engine Aggregates for Vibration Diagnostic Technology Research and Demonstrator Development” of the project „Establishment of Engineering Systems, Transport and Energy Competence Center” in cooperation with Central Finance and Contracting Agency of Latvia. This work contains the results of the research and the development of the technical requirements for engine aggregates testing rigs.
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Mironov, A., Mironovs, D., Kabashkin, I. (2018). Advanced Structural Health Monitoring and Diagnostics of Transport, Industrial and Energy Facilities. In: Kabashkin, I., Yatskiv, I., Prentkovskis, O. (eds) Reliability and Statistics in Transportation and Communication. RelStat 2017. Lecture Notes in Networks and Systems, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-319-74454-4_15
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DOI: https://doi.org/10.1007/978-3-319-74454-4_15
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