Invention Grant
- Patent Title: Analytics-based anomaly detection
-
Application No.: US17219508Application Date: 2021-03-31
-
Publication No.: US11768749B2Publication Date: 2023-09-26
- Inventor: Alexandru Cozma , Jeffery Van Heuklon , Sumeet Kochar
- Applicant: LENOVO Enterprise Solutions (Singapore) PTE. LTD.
- Applicant Address: SG New Tech Park
- Assignee: Lenovo Enterprise Solutions (Singapore) Pte. Ltd.
- Current Assignee: Lenovo Enterprise Solutions (Singapore) Pte. Ltd.
- Current Assignee Address: SG New Tech Park
- Agency: Kunzler Bean & Adamson
- Agent Bruce R. Needham
- Main IPC: G06F11/30
- IPC: G06F11/30 ; G06F11/34 ; G06N20/00 ; G06F11/32

Abstract:
Apparatuses, methods, systems, and program products are disclosed for analytics-based anomaly detection. An apparatus includes a processor and a memory that stores code executable by the processor. The code is executable by the processor to receive measurement data for a component of a device, determine a compression rate of the received measurement data by applying a compression algorithm to the measurement data, and generate an alert indicating a possible anomaly in an operation of the component represented by the measurement data in response to the determined compression rate satisfying a threshold compression rate for the at least one condition of the component.
Public/Granted literature
- US20220318115A1 ANALYTICS-BASED ANOMALY DETECTION Public/Granted day:2022-10-06
Information query