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- W2894865731 abstract "Technology advances have impacted upon monitoring, diagnostic and prognostic activities for increasingly sophisticated industrial systems and their operations. In particular, for integrated mechatronic systems, the facility provided by a dynamic simulation model, as the system experiences deteriorating faults, has been investigated. For informed data-driven prognostic extrapolations, the long-term, time-varying operational profile of the mechatronic system requires recording and analysis. The contribution reported in this paper relates to the simulation, and experimental validation, of a CE 105 coupled-tank liquid level control system. The consideration of a traditional simple system is extended via the inclusion of non-linear elements in the simulation created using the real-time control toolbox within LabVIEW 2014. The simulation is used to accelerate the timescales of the monitoring and tracking system and controller signals for normal and faulty behaviour for several operating condition scenarios. A Sign chart was developed and used as a system health monitoring tool. Results are reported and discussed for both leakage and reduced pump performance faults." @default.
- W2894865731 created "2018-10-12" @default.
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- W2894865731 date "2017-01-01" @default.
- W2894865731 modified "2023-09-27" @default.
- W2894865731 title "Experimental model-based approach to integrated prognostic and health management of a non-linear liquid level system" @default.
- W2894865731 hasPublicationYear "2017" @default.
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