Machine learning in predictive maintenance towards sustainable smart manufacturing in industry 4.0
Recently, with the emergence of Industry 4.0 (I4. 0), smart systems, machine learning (ML)
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …
A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings
Large-scale wind turbine bearings including main bearings, gearbox bearings, generator
bearings, blade bearings and yaw bearings, are critical components for wind turbines to …
bearings, blade bearings and yaw bearings, are critical components for wind turbines to …
An intelligent fault diagnosis method using unsupervised feature learning towards mechanical big data
Y Lei, F Jia, J Lin, S **ng… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Intelligent fault diagnosis is a promising tool to deal with mechanical big data due to its
ability in rapidly and efficiently processing collected signals and providing accurate …
ability in rapidly and efficiently processing collected signals and providing accurate …
Multiscale convolutional neural networks for fault diagnosis of wind turbine gearbox
This paper proposes a novel intelligent fault diagnosis method to automatically identify
different health conditions of wind turbine (WT) gearbox. Unlike traditional approaches …
different health conditions of wind turbine (WT) gearbox. Unlike traditional approaches …
Data-driven methods for predictive maintenance of industrial equipment: A survey
W Zhang, D Yang, H Wang - IEEE systems journal, 2019 - ieeexplore.ieee.org
With the tremendous revival of artificial intelligence, predictive maintenance (PdM) based on
data-driven methods has become the most effective solution to address smart manufacturing …
data-driven methods has become the most effective solution to address smart manufacturing …
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 …
An overview on fault diagnosis, prognosis and resilient control for wind turbine systems
Z Gao, X Liu - Processes, 2021 - mdpi.com
Wind energy is contributing to more and more portions in the world energy market. However,
one deterrent to even greater investment in wind energy is the considerable failure rate of …
one deterrent to even greater investment in wind energy is the considerable failure rate of …
Damage detection techniques for wind turbine blades: A review
Blades play a vital role in wind turbine system performances. However, they are susceptible
to damage arising from complex and irregular loading or even cause catastrophic collapse …
to damage arising from complex and irregular loading or even cause catastrophic collapse …
A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis
Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …
the efficient production and financial viability of wind power, it is crucial to maintain wind …
Deep transfer learning with limited data for machinery fault diagnosis
Investigation of deep transfer learning on machinery fault diagnosis is helpful to overcome
the limitations of a large volume of training data, and accelerate the practical applications of …
the limitations of a large volume of training data, and accelerate the practical applications of …