Article

An Energy-Efficient Fault Diagnosis Method for Subsea Main Shaft Bearings

2025-11-10

Abstract excerpt

Subsea drilling rig main shaft bearings are among the critical rotating components of the rig, and their health status directly affects the efficiency and reliability of the drilling system. However, in the deep-sea high-pressure and intense-noise liquid environment, the vibration signals of the bearings attenuate rapidly, resulting in an extremely low Signal-to-Noise Ratio (SNR) for the fault features, posing a c...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c6799c54-5993-51f5-825d-732a5774fe4c
DOI: 10.20944/preprints202511.0713.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An Energy-Efficient Fault Diagnosis Method for Subsea Main Shaft BearingsDOI 10.20944/preprints202511.0713.v1Read

An Intelligent diagnosis method for rolling bearings based on Ghost module and adaptive weighting moduleSemantic proximity Read

MSE-NERSPPNet: A Multi-Channel Framework for Bearing Fault Diagnosis in the Presence of Imbalanced SamplesSemantic proximity Read

Intelligent Diagnosis Model for Rolling Bearing Faults Based on Multi-Modal Data FusionSemantic proximity Read

Wavelet machine learning model for condition monitoring of ball bearingsSemantic proximity Read

Research on Few-Shot Fault Diagnosis and Feature Extraction Mechanism Based on ADPCW-ELCNNSemantic proximity Read

A Functional Deep Learning Framework for Rotary Machines Fault DetectionSemantic proximity Read

Research on Mechanical Fault Diagnosis under Complex Working Conditions Based on Improved YOLOv8Semantic proximity Read

Robust-GSR driven lightweight CNN framework for intelligent fault diagnosis under variable-speed conditionsSemantic proximity Read

Rolling bearing fault detection of rotary machine using a novel adaptive sparse representationSemantic proximity Read

A Novel Bearing Fault Diagnosis Method Based on Singular Spectrum Decomposition and a Multi‐Strategy Enhanced Cuckoo Search–Optimized Extreme Learning MachineSemantic proximity Read

Wear fault diagnosis in hydro-turbine via the incorporation of the IWSO algorithm optimized CNN-LSTM neural networkSemantic proximity Read

Machine Health Surveillance System by Using Deep Learning Sparse AutoencoderSemantic proximity Read