Fault diagnosis method for hydropower unit via the incorporation of chaotic quadratic interpolation optimized deep learning model
F Dao, Y Zeng, Y Zou, J Qian - Measurement, 2024 - Elsevier
Hydro-turbine fault diagnosis is crucial for hydropower plants' safe and stable operation.
This paper proposes a deep learning model for hydro-turbine fault diagnosis based on …
This paper proposes a deep learning model for hydro-turbine fault diagnosis based on …
Gray relation weighted wavelet neural network integrated model and its application in rotating machinery fault diagnosis
X Jia, X Xiao, J Wen - The International Journal of Advanced …, 2023 - Springer
Considering the variability and complexity of rotating machinery fault diagnosis, the fault
diagnosis information carried out by a single model is not comprehensive and the fault …
diagnosis information carried out by a single model is not comprehensive and the fault …
An effective method for fault diagnosis of rotating machinery under noisy environment
Y Xu, X Lu - Measurement Science and Technology, 2023 - iopscience.iop.org
Rotating machinery is widely utilized as mechanical equipment in the industrial field.
However, due to the complex working conditions, the existing fault diagnosis methods have …
However, due to the complex working conditions, the existing fault diagnosis methods have …
A feature vector with insensitivity to the position of the outer race defect and its application in rolling bearing fault diagnosis
J Zhang, Q Zhang, W Feng, X Qin… - Structural Health …, 2024 - journals.sagepub.com
The fault diagnosis of rolling bearings is very important in industrial applications, which can
avoid accidents and reduce operation and maintenance costs. Although the position of the …
avoid accidents and reduce operation and maintenance costs. Although the position of the …
Gear fault diagnosis based on complex network theory and error-correcting output codes: Multi class support vector machine
Gearbox failures have a detrimental effect on the machine performance that affects the
production capacity and economic benefits of a manufacturing industry in an adverse …
production capacity and economic benefits of a manufacturing industry in an adverse …
Fault detection in the marine engine using a support vector data description method
Fast detection and correct diagnosis of any engine condition changes are essential
elements of safety and environmental protection. Many diagnostic algorithms significantly …
elements of safety and environmental protection. Many diagnostic algorithms significantly …
Diagnostics of Early Faults in Wind Generator Bearings Using Hjorth Parameters
AC Santos, WA Souza, GV Barbara, MF Castoldi… - Sustainability, 2023 - mdpi.com
Machine learning techniques are a widespread approach to monitoring and diagnosing
faults in electrical machines. These techniques extract information from collected signals …
faults in electrical machines. These techniques extract information from collected signals …
Detection and Diagnostics of Bearing and Gear Fault under Variable Speed and Load Conditions Using Heterogeneous Signals
In industrial applications, rotating machines operate under real-time variable speed and
load regimes. In the presence of faults, the degradation of critical components is accelerated …
load regimes. In the presence of faults, the degradation of critical components is accelerated …
A novel performance degradation assessment method for rotating machinery based on the fault information and the dynamic simulation
J Zhang, Q Zhang, X Qin, Y Sun - Measurement Science and …, 2024 - iopscience.iop.org
The performance degradation assessment (PDA) of key components such as gears and
rolling bearings is the core technology of prognostics and health management for rotating …
rolling bearings is the core technology of prognostics and health management for rotating …
Incipient fault detection and condition assessment in DFIGs based on external leakage flux sensing and modified multiscale poincare plots analysis
S Zhao, Y Chen, F Liang, S Zhang… - Measurement …, 2023 - iopscience.iop.org
Although doubly fed induction generators (DFIG) are widely used, difficulties in early fault
detection and severity assessment for inter-turn short-circuit (ITSC) faults are highly …
detection and severity assessment for inter-turn short-circuit (ITSC) faults are highly …