Andrea Vercellotti
Diagnostic and prognostic maintenance decision making. A case study regarding the main equipment of a cogeneration plant.
Rel. Andrea Carpignano, Paolo Tarasco, Raffaella Gerboni. Politecnico di Torino, Master of science program in Energy And Nuclear Engineering, 2019
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Abstract
The present work is framed in the field of maintenance engineering. Its primary aim is the application of two statistical techniques and the evaluation of their effectiveness on monitoring performance and health condition of complex equipment of a cogeneration plant. More specifically, the case study deals with one internal combustion diesel engine. The first part of the thesis is dedicated to data processing and to the creation of a reference model for the internal combustion engine, on the basis of the available operational data. The data to investigate are concerning signals whose acquisition is achieved through the continuous service of implemented systems of measurement.
The sample for model delineation refers to historical data about ICE operation
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