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Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis
Multimodality is a universal characteristic of multi-source monitoring data for rotating
machinery. The correlation fusion of multimodal information is a general law to strengthen …
machinery. The correlation fusion of multimodal information is a general law to strengthen …
Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data
J Zhuang, J Yan, CG Huang, M Jia - Engineering Applications of Artificial …, 2024 - Elsevier
Data-driven fault diagnosis methods have significantly contributed to the rapid development
of prognostics and health management of gearboxes. However, these methods require …
of prognostics and health management of gearboxes. However, these methods require …
Wind Turbine Gearbox Early Fault Detection Using Mel‐Frequency Cepstral Coefficients of Vibration Data
A methodology utilizing vibration data and Mel‐frequency cepstral coefficients (MFCCs) for
wind turbine condition monitoring is developed to detect incipient faults in the wind turbine …
wind turbine condition monitoring is developed to detect incipient faults in the wind turbine …
Hyperparameter Optimization on CNN Using Hyperband for fault identification in wind turbine high-speed shaft gearbox bearing
Given the adverse operating regime of the wind turbine gearbox, fault recognition models for
components need to be optimized for reliable operation. However, selection of optimal …
components need to be optimized for reliable operation. However, selection of optimal …
Time-segment-wise feature fusion transformer for multi-modal fault diagnosis
Mechanical fault diagnosis is crucial to ensure the safe operations of equipment in intelligent
manufacturing systems. Recently, deep learning based fault diagnosis methods have …
manufacturing systems. Recently, deep learning based fault diagnosis methods have …
Zero-speed start-up of a 3 MW DFIG wind turbine model: Mechanical and electrical hardware-in-the-loop co-simulation
With increasing global concerns about global warming, governments have decided to
reduce their reliance on fossil fuels for electric power generation. Wind energy is one of the …
reduce their reliance on fossil fuels for electric power generation. Wind energy is one of the …
Wind turbine gearbox condition monitoring using vibration data and mel-frequency cepstral coefficients
A new methodology for wind turbine condition monitoring that utilizes vibration data and Mel-
frequency cepstral coefficients (MFCCs) is being developed to accurately assess the …
frequency cepstral coefficients (MFCCs) is being developed to accurately assess the …
Development and Evaluation of a Laboratory-Scale Test Rig Prototype for Full Characterization of Wind Turbine Main Bearing Dynamics and Condition Monitoring
Effective condition monitoring of the main bearing is essential for preventing unexpected
turbine failures. However, the massive size of real-life main bearings poses challenges for …
turbine failures. However, the massive size of real-life main bearings poses challenges for …