[HTML][HTML] Review of conventional and advanced non-destructive testing techniques for detection and characterization of small-scale defects

MI Silva, E Malitckii, TG Santos, P Vilaça - Progress in Materials Science, 2023 - Elsevier
Inspection reliability of small-scale defects, targeting dimensions below 100 µm, is crucial for
structural safety of critical components in high-value applications. Early defects are often …

Advances in fault detection and diagnosis for thermal power plants: A review of intelligent techniques

S Khalid, J Song, I Raouf, HS Kim - Mathematics, 2023 - mdpi.com
Thermal power plants (TPPs) are critical to supplying energy to society, and ensuring their
safe and efficient operation is a top priority. To minimize maintenance shutdowns and costs …

Advancements in radiographic evaluation through the migration into NDE 4.0

H Saboonchi, D Blanchette, K Hayes - Journal of nondestructive …, 2021 - Springer
The challenges presented by the global pandemic and slump in oil prices have imposed
costly avoidance measures and delayed project timeliness, but it also has created the …

Performance Identification of a Steam Boiler Burner via Acoustic Analysis

K Kurşun, L Özdemir, H Ersoy - Processes, 2022 - mdpi.com
Almost all systems generate acoustic signals when operating or when a process is being
performed. These signals contain certain data related to the operating performance of …

Automatic Steam Leakage Detection and Prognosis in a Thermal Power Plant

V Reddy, A Sinha, D Das - 2023 IEEE 11th Region 10 …, 2023 - ieeexplore.ieee.org
Fault Detection and Diagnosis (FDD) has recently achieved widespread popularity in
industrial system monitoring applications. This is mainly due to the potential advantage that …

[PDF][PDF] Improved Early Detection of Tube Leaks Faults in Pulverised Coal-fired Boiler Using Deep Feed Forward Neural Network.

AM Abdul Karim, YM Mustafah… - Pertanika Journal of …, 2024 - 119.40.116.186
Boiler tube leaks significantly reduce the operational availability of power units, yet their
early detection and prediction have not been fully realised in the industry. This paper …

Energy Value Estimation of Acoustic Emission Signal Using Advanced Machine Learning Algorithms within Composite Specimen Application

ED Spyrou, V Kappatos… - … Conference on Electrical …, 2022 - ieeexplore.ieee.org
Composites, in the industry, are substituting metal parts in order to reduce the weight of the
structures and due to their properties such as stiffness, strength, and others. Acoustic …

Deep Clustering and Transfer Learning-Based Anomaly Detection in Thermal Power Plant Control Loops

L Xinguang, L Baoling, H Jun, L Xixi, Y Yulong… - … Academic Forum of …, 2025 - Springer
The implementation of deep learning-based fault diagnosis methodologies has been
increasingly observed across diverse sectors within the power industry. This is particularly …