Review of Fault Detection and Diagnosis Methods in Power Plants: Algorithms, Architectures, and Trends

Review of Fault Detection and Diagnosis Methods in Power Plants: Algorithms, Architectures, and Trends

Fault detection and diagnosis (FDD) in power plant systems is a rapidly evolving field driven by the increasing complexity of industrial infrastructure and the demand for reliability, safety, and predictive maintenance. This review presents a structured and data-driven synthesis of 185 peer-reviewed...

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Bibliographic Details
Main Authors: Camelia Adela Maican, Cristina Floriana Pană, Daniela Maria Pătrașcu-Pană, Virginia Maria Rădulescu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
fault detection and diagnosis
power plants
machine learning
deep learning
hybrid models
sensor technologies
Online Access:https://www.mdpi.com/2076-3417/15/11/6334
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