[HTML][HTML] Machine learning methods for wind turbine condition monitoring: A review
This paper reviews the recent literature on machine learning (ML) models that have been
used for condition monitoring in wind turbines (eg blade fault detection or generator …
used for condition monitoring in wind turbines (eg blade fault detection or generator …
Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review
As one of the most immensely growing renewable energies, the wind power industry also
experiences a high failure rate and operation & maintenance cost. Therefore, the condition …
experiences a high failure rate and operation & maintenance cost. Therefore, the condition …
Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network
This paper presents a data-driven intelligent fault diagnosis approach for rotating machinery
(RM) based on a novel continuous wavelet transform-local binary convolutional neural …
(RM) based on a novel continuous wavelet transform-local binary convolutional neural …
An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump
S Tang, Y Zhu, S Yuan - Advanced Engineering Informatics, 2021 - Elsevier
Hydraulic piston pump is a vital component of hydraulic transmission system and plays a
critical role in some modern industrials. On account of the deficiencies of traditional fault …
critical role in some modern industrials. On account of the deficiencies of traditional fault …
Modified stacked autoencoder using adaptive Morlet wavelet for intelligent fault diagnosis of rotating machinery
Intelligent fault diagnosis techniques play an important role in improving the abilities of
automated monitoring, inference, and decision making for the repair and maintenance of …
automated monitoring, inference, and decision making for the repair and maintenance of …
Modified deep autoencoder driven by multisource parameters for fault transfer prognosis of aeroengine
The existing fault prognosis techniques of aeroengine mostly focus on a single monitoring
parameter under stable condition, and have low adaptability to new prognosis scenes. To …
parameter under stable condition, and have low adaptability to new prognosis scenes. To …
Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review
J Chen, Z Li, J Pan, G Chen, Y Zi, J Yuan… - Mechanical systems and …, 2016 - Elsevier
As a significant role in industrial equipment, rotating machinery fault diagnosis (RMFD)
always draws lots of attention for guaranteeing product quality and improving economic …
always draws lots of attention for guaranteeing product quality and improving economic …
Wavelets for fault diagnosis of rotary machines: A review with applications
Over the last 20 years, particularly in last 10 years, great progress has been made in the
theory and applications of wavelets and many publications have been seen in the field of …
theory and applications of wavelets and many publications have been seen in the field of …
Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models
Wind energy, which is clean, inexhaustible and free, has been used to mitigate the crisis of
conventional resource depletion. However, wind power is difficult to implement on a large …
conventional resource depletion. However, wind power is difficult to implement on a large …
Condition monitoring and fault diagnosis of planetary gearboxes: A review
Planetary gearboxes significantly differ from fixed-axis gearboxes and exhibit unique
behaviors, which invalidate fault diagnosis methods working well for fixed-axis gearboxes …
behaviors, which invalidate fault diagnosis methods working well for fixed-axis gearboxes …