Virtual sensor estimation model for turbine labyrinth seal displacements with Deep Learning technics

The objective of this research proposition is to estimate a turbine labyrinth seal displacement from the commissioning sensors using signal coming from other sensors; ideally sensors that would be keep for continuous monitoring using deep learning technics.

Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Computer science

Sector:

Professional, scientific and technical services; Utilities

University:

Université de Montréal

Program:

Accelerate

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