in this paper the authors present an original methodology that may be useful for dedicated online compressed air consumption analyses for end-point devices. Unlike the classical forward engineering approaches, which are based on a detailed compressed air system description, the presented solution is based on reverse engineering and needs very little initial data. The proposed analytical approach is based on observations of machine behaviour. The presented results can be easily applicable for the assessment of energy efficiency, monitoring the degradation parameters of machines and quickly detecting anomalies in existing compressed air end point devices.
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