This work describes a predictive maintenance approach to Medium Voltage apparatus. A specific algorithm for prediction of the probability of failures was developed. The algorithm has been structured in such a way that new components can be added in the future, in what is called as a multimodular approach. The algorithm entirely relies on data measured by diagnostic sensors. A statistical model based on such sensor data has been developed as part of our approach, which is described in the thesis.
Si descrive un approccio alla manutenzione predittiva per apparecchi elettrici di media tensione. E’ stato sviluppato un algoritmo per la previsione delle probabilità di guasto. L’algoritmo ha una struttura multimodulare, in modo che in futuro si possano aggiungere facilmente nuovi componenti. Le previsioni sono basate su dati misurati da sensori installati sulle apparecchiature in campo. La tesi descrive anche il modello statistico basato su tali dati, sviluppato allo scopo.
A predictive maintenance approach for medium voltage circuit breakers
FRANCIS NELLISSERY, FAJO
2018/2019
Abstract
This work describes a predictive maintenance approach to Medium Voltage apparatus. A specific algorithm for prediction of the probability of failures was developed. The algorithm has been structured in such a way that new components can be added in the future, in what is called as a multimodular approach. The algorithm entirely relies on data measured by diagnostic sensors. A statistical model based on such sensor data has been developed as part of our approach, which is described in the thesis.File | Dimensione | Formato | |
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FAJO_876715.pdf
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Descrizione: A Predictive Maintenance Approach for Medium Voltage Circuit Breakers
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https://hdl.handle.net/10589/151333