Generalized Anomaly Detection Algorithm Based on Time Series Statistical Features

Alireza Alghassi

doi:10.1007/978-3-030-67270-6_7

ScienceGate Book Chapters

BOOK-CHAPTER

Generalized Anomaly Detection Algorithm Based on Time Series Statistical Features

Alireza Alghassi

Year: 2021 Intelligent systems reference library Pages: 177-200 Publisher: Springer Nature

DOI: 10.1007/978-3-030-67270-6_7

Get Full-Text PDF Get Analytical Report

Keywords:

Anomaly detection Probabilistic logic Bespoke Rotor (electric) Algorithm Series (stratigraphy) Vibration Computer science Dimension (graph theory) Range (aeronautics) Artificial intelligence Accelerometer Engineering Mathematics Mechanical engineering Acoustics

Metrics

Cited By

0.67

FWCI (Field Weighted Citation Impact)

Refs

0.67

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Generalized Anomaly Detection Algorithm Based on Time Series Statistical Features

Metrics

Citation History

Topics

Related Documents

Time Series Anomaly Detection Model Based on Multi-Features

Iterative Anomaly Detection Algorithm Based on Time Series Analysis

LSGNSF: A Graph-Based Time Series Anomaly Detection Algorithm

Anomaly Detection Algorithm Based on Pattern Density in Time Series

Time Series Industrial Data Anomaly Detection Algorithm Based on Transformer