Failure Point Estimation Using Rule-based Learning

Abstract

NTT Access Network Service Systems Laboratories aims to achieve smart and advanced network operations supporting the digital transformation of the NTT Group. This article introduces a means of failure point estimation using rule-based learning that immediately presents potential failure points at the time of a failure. This estimation technique is based on technology for autonomously deriving cause-and-effect relationships (rules) between failure points and alarms.