An FSK-MBCNN based method for compound fault diagnosis in wind turbine gearboxes

Rolling bearing fault diagnosis using generalized refined composite multiscale sample entropy and optimized support vector machine

(2020) Zhenya Wang et al.   MEASUREMENT

Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review

(2019) Tianyang Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings

(2019) Zepeng Liu et al.   MEASUREMENT

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

(2018) Guoqian Jiang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders

(2018) Han Liu et al.   ISA TRANSACTIONS

Gearbox condition monitoring in wind turbines: A review

(2018) Jack P. Salameh et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization

(2018) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Prognostic techniques applied to maintenance of wind turbines: a concise and specific review

(2018) Gustavo de Novaes Pires Leite et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Real-time monitoring, prognosis, and resilient control for wind turbine systems

(2018) Zhiwei Gao et al.   RENEWABLE ENERGY

A Dropconnect Deep Computation Model for Highly Heterogeneous Data Feature Learning in Mobile Sensing Networks

(2018) Qingchen Zhang et al.   IEEE NETWORK

A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals

(2018) Huaqing Wang et al.   COMPUTERS IN INDUSTRY

An adaptive deep convolutional neural network for rolling bearing fault diagnosis

(2017) Wang Fuan et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Unsupervised Fault Diagnosis of a Gear Transmission Chain Using a Deep Belief Network

(2017) Jun He et al.   SENSORS

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

A method for the compound fault diagnosis of gearboxes based on morphological component analysis

(2016) Dejie Yu et al.   MEASUREMENT

K-nearest neighbors based methods for identification of different gear crack levels under different motor speeds and loads: Revisited

(2016) Dong Wang   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

(2015) Zhiwei Gao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Condition monitoring of wind turbines: Techniques and methods

(2012) Fausto Pedro García Márquez et al.   RENEWABLE ENERGY