Detecting and Ranking Causal Anomalies in End-to-End Complex System

arXiv:2301.07281v2 Announce Type: replace
Abstract: With the rapid development of technology, the automated monitoring systems of large-scale factories are becoming more and more important. By collecting a large amount of machine sensor data, we can have many ways to find anomalies. We believe that the real core value of an automated monitoring system is to identify and track the cause of the problem. The most famous method for finding causal anomalies is RCA, but there are many problems that cannot …

abstract arxiv automated causal core cs.lg data development factories machine monitoring ranking scale sensor systems technology type value