Predictive Maintenance for SK Magic Appliances
Predictive Maintenance for SK Magic Appliances
Predictive Maintenance for SK Magic Appliances
SK networks
SK networks
2020. 11 ~ 2021. 10 (expected)
Principle Investigator: Sang Kyun Cha
Participating Professors: Wen Syan Li, Hyung Sin Kim
Students: Bora Lim, Jaehwan Lim
Conventional maintenance has been around reactive maintenance. Predictive maintenance can be defined as a techniques are designed to help determine the condition of in-service equipment in order to estimate when maintenance should be performed. Anomalies lead to the remaining useful life of the equipment, understanding of the anomalies and its detection mechanisms are crucial for predictive maintenance. Using data provided by SK Networks, we will develop various type of regression and classification models to adopt predictive maintenance.