Development of A Digital-Twin-Based Software for Gas Turbine Reliability Analysis

In the era of the industrial revolution, the availability of vast amounts of data necessitates the development of software applications with online dynamic reliability prediction capabilities. Such software should enable a data-driven analysis of equipment life by incorporating various operational and environmental covariates that impact equipment failure, thereby mitigating production losses. Consequently, this project aims to develop a digital-twin-based software solution capable of predicting system reliability accurately in real-time, while considering crucial environmental and operational factors and time. The software will identify and analyze the key factors influencing equipment performance and deterioration, utilizing this information to generate more precise real-time reliability predictions.

Faculty Supervisor:

Xihui Liang

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Manitoba

Program: