Anomaly Detection in Gas Turbines Using Outlet Energy Analysis with Cluster-Based Matrix Profile

Anomaly Detection in Gas Turbines Using Outlet Energy Analysis with Cluster-Based Matrix Profile

Gas turbines play a key role in generating power. It is really important that they work efficiently, safely, and reliably. However, their performance can be adversely affected by factors such as component wear, vibrations, and temperature fluctuations, often leading to abnormal patterns indicative o...

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Bibliographic Details
Main Authors: Mina Bagherzade Ghazvini, Miquel Sànchez-Marrè, Davood Naderi, Cecilio Angulo
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Energies
Subjects:
novelty detection
anomaly detection
time series
Matrix Profile
cluster based
data-driven method
Online Access:https://www.mdpi.com/1996-1073/17/3/653

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https://www.mdpi.com/1996-1073/17/3/653

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