公开(公告)号：US20220299985A1

公开(公告)日：2022-09-22

申请号：US17207540

申请日：2021-03-19

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： SERGEY SEREBRYAKOV ,  TAHIR CADER ,  DEEPAK NANJUNDAIAH

IPC: G05B23/02 ,  G06N20/00

Abstract: Multi-metric artificial intelligence (AI)/machine learning (ML) models for detection of anomalous behavior of a machine/system are disclosed. The multi-metric AI/ML models are configured to detect anomalous behavior of systems having multiple sensors that measure correlated sensor metrics such as coolant distribution units (CDUs). The multi-metric AI/ML models perform the anomalous system behavior detection in a manner that enables both a reduction in the amount of sensor instrumentation needed to monitor the system's operational behavior as well as a corresponding reduction in the complexity of the firmware that controls the sensor instrumentation. As such, AI-enabled systems and corresponding methods for anomalous behavior detection disclosed herein offer a technical solution to the technical problem of increased failure rates of existing multi-sensor systems, which is caused by the presence of redundant sensor instrumentation that necessitates complex firmware for controlling the sensor instrumentation.