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Seismic data conditioning and neural network-based attribute selection for enhanced fault detection

Petroleum Geoscience, 2013
In this study of the Dorood oil field, offshore Iran, 3D seismic data were utilized to identify a complex fault pattern in the highly faulted and fractured Fahliyan Formation. To enhance data quality and improve attribute accuracy and detection power, a steering cube was first computed based on a sliding 3D Fourier analysis technique, using the concept
Chehrazi, A.   +2 more
openaire   +2 more sources

Rolling bearing fault diagnosis and performance degradation assessment under variable operation conditions based on nuisance attribute projection

Mechanical Systems and Signal Processing, 2019
Abstract The operation conditions are always non-stationary in the operation of rotating machinery. It is the key to realize the fault diagnosis of rotating machinery under different operation conditions by extracting the features which are irrelevant to the operation conditions and contain fault information.
Wenyi Huang, Junsheng Cheng, Yu Yang
openaire   +1 more source

Automated Fault Detection and Extraction under Gas Chimneys Using Hybrid Discontinuity Attributes

Applied Sciences (Switzerland), 2021
Abdul Halim Abdul Latiff   +2 more
exaly  

Unknown working condition fault diagnosis of rotate machine without training sample based on local fault semantic attribute

Advanced Engineering Informatics
Xuejun Liu   +5 more
openaire   +1 more source

Fault Enhancement in Seismic Images by Introducing a Novel Strategy Integrating Attributes and Image Analysis Techniques

Pure and Applied Geophysics, 2022
Amin Roshandel Kahoo   +2 more
exaly  

Pyramid-type zero-shot learning model with multi-granularity hierarchical attributes for industrial fault diagnosis

Reliability Engineering and System Safety, 2023
Chunhui Zhao, Jinliang Ding
exaly  

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