ADEPOS : anomaly detection based power saving for predictive maintenance using edge computing

• Main Authors: Bose, Sumon Kumar, Kar, Bapi, Roy, Mohendra, Gopalakrishnan, Pradeep Kumar, Basu, Arindam
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2019
• Subjects: Anomaly Detection; Approximate Computing; Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/106102; http://hdl.handle.net/10220/49166; https://doi.org/10.1145/3287624.3287716
• Institution: Nanyang Technological University

In Industry 4.0, predictive maintenance (PdM) is one of the most important applications pertaining to the Internet of Things (IoT). Machine learning is used to predict the possible failure of a machine before the actual event occurs. However, main challenges in PdM are: (a) lack of enough data f...