Emerging AI technologies for corrosion monitoring in oil and gas industry: A comprehensive review
AH Khalaf, Y Xiao, N Xu, B Wu, H Li, B Lin, Z Nie… - Engineering Failure …, 2024 - Elsevier
Corrosion presents a daunting challenge to the oil and gas industry, resulting in substantial
maintenance expenses and productivity losses. Conventional corrosion monitoring …
maintenance expenses and productivity losses. Conventional corrosion monitoring …
Damage mechanism identification in composites via machine learning and acoustic emission
Damage mechanism identification has scientific and practical ramifications for the structural
health monitoring, design, and application of composite systems. Recent advances in …
health monitoring, design, and application of composite systems. Recent advances in …
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
Automatic and accurate identification of rolling bearings fault categories, especially for the
fault severities and fault orientations, is still a major challenge in rotating machinery fault …
fault severities and fault orientations, is still a major challenge in rotating machinery fault …
Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery
T Han, D Jiang, Q Zhao, L Wang… - Transactions of the …, 2018 - journals.sagepub.com
Nowadays, the data-driven diagnosis method, exploiting pattern recognition method to
diagnose the fault patterns automatically, achieves much success for rotating machinery …
diagnose the fault patterns automatically, achieves much success for rotating machinery …
Intelligent fault diagnosis of planetary gearbox based on refined composite hierarchical fuzzy entropy and random forest
Y Wei, Y Yang, M Xu, W Huang - ISA transactions, 2021 - Elsevier
This paper presents a novel signal processing scheme by combining refined composite
hierarchical fuzzy entropy (RCHFE) and random forest (RF) for fault diagnosis of planetary …
hierarchical fuzzy entropy (RCHFE) and random forest (RF) for fault diagnosis of planetary …
The research progress and prospect of data mining methods on corrosion prediction of oil and gas pipelines
L Xu, Y Wang, L Mo, Y Tang, F Wang, C Li - Engineering Failure Analysis, 2023 - Elsevier
As the principal means of oil and natural gas transportation, oil and gas pipeline systems
suffer from common corrosion problems, accurate corrosion prediction of oil and gas …
suffer from common corrosion problems, accurate corrosion prediction of oil and gas …
Human activity recognition from smart watch sensor data using a hybrid of principal component analysis and random forest algorithm
Background: Detecting of human movements is an important task in various areas such as
healthcare, fitness and eldercare. It is now possible to achieve this aim using mobile …
healthcare, fitness and eldercare. It is now possible to achieve this aim using mobile …
A new qualitative acoustic emission parameter based on Shannon's entropy for damage monitoring
M Chai, Z Zhang, Q Duan - Mechanical Systems and Signal Processing, 2018 - Elsevier
An important objective of acoustic emission (AE) non-destructive monitoring is to accurately
identify approaching critical damage and to avoid premature failure by means of the …
identify approaching critical damage and to avoid premature failure by means of the …
Identification of acoustic emission sources for structural health monitoring applications based on convolutional neural networks and deep transfer learning
In the present work, different types of acoustic emission (AE) sources are identified by
means of computational intelligence. The goal is to characterize the type of AE source and to …
means of computational intelligence. The goal is to characterize the type of AE source and to …
Acoustic emission identification of wheel wear states in engineering ceramic grinding based on parameter-adaptive VMD
L Wan, X Zhang, Q Zhou, D Wen, X Ran - Ceramics International, 2023 - Elsevier
In engineering ceramic grinding, the wheel wear states have an important influence on the
processing efficiency and grinding quality. To address the difficulty of online monitoring of …
processing efficiency and grinding quality. To address the difficulty of online monitoring of …