System and method for fault diagnosis of equipment based on machine learning

摘要

According to the present invention, a machine learning-based facility failure diagnosis method comprises a failure diagnosis process using a multiplayer perception (MLP) model, in which a priority of variables contributing to a failure is estimated by calculating a failure diagnostic indicator P_(iL) with a weight extracted by training the MLP having a regression weight as an input.