A Machine Learning Modeling Framework for Predictive Maintenance Based on Equipment Load Cycle: An Application in a Real World Case

A Machine Learning Modeling Framework for Predictive Maintenance Based on Equipment Load Cycle: An Application in a Real World Case

From a practical point of view, a turbine load cycle (TLC) is defined as the time a turbine in a power plant remains in operation. TLC is used by many electric power plants as a stop indicator for turbine maintenance. In traditional operations, a maximum time for the operation of a turbine is usuall...

Full description

Bibliographic Details
Main Authors: Arnaldo Rabello de Aguiar Vallim Filho, Daniel Farina Moraes, Marco Vinicius Bhering de Aguiar Vallim, Leilton Santos da Silva, Leandro Augusto da Silva
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Energies
Subjects:
predictive maintenance
machine learning
artificial intelligence
big data process
most important variables
Online Access:https://www.mdpi.com/1996-1073/15/10/3724

Internet

https://www.mdpi.com/1996-1073/15/10/3724

Similar Items