Anomaly Detection and Root Cause Analysis for Energy Consumption of Medium and Heavy Plate: A Novel Method Based on Bayesian Neural Network with Adam Variational Inference

Anomaly Detection and Root Cause Analysis for Energy Consumption of Medium and Heavy Plate: A Novel Method Based on Bayesian Neural Network with Adam Variational Inference

Anomaly detection and root cause analysis of energy consumption not only optimize energy use and improve equipment reliability but also contribute to green and low-carbon development. This paper proposes a comprehensive diagnostic framework for detecting anomalies, conducting causal analysis, and tr...

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Bibliographic Details
Main Authors: Qiang Guo, Fenghe Li, Hengwen Liu, Jin Guo
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Algorithms
Subjects:
medium and heavy plate
energy consumption
anomaly detection
Granger causality
root cause
Bayesian neural network
Online Access:https://www.mdpi.com/1999-4893/18/1/11
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