Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks

Planetary gearbox spectral modeling based on the hybrid method of dynamics and LSTM

(2020) Ruo-Bin Sun et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Diagnosis of Wind Turbine Gearbox Based on the Optimized LSTM Neural Network with Cosine Loss

(2020) Aijun Yin et al.   SENSORS

Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis

(2020) Moslem Azamfar et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Comprehensive planet gear diagnostics: Use of transmission error and mesh phasing to distinguish localised fault types and identify faulty gears

(2019) Dikang Peng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Probabilistic Latent Semantic Analysis-Based Gear Fault Diagnosis Under Variable Working Conditions

(2019) Chao Chen et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

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

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

(2018) Rui Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Dynamic modeling of gearbox faults: A review

(2018) Xihui Liang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Planetary Gears Feature Extraction and Fault Diagnosis Method Based on VMD and CNN

(2018) Chang Liu et al.   SENSORS

Use of mesh phasing to locate faulty planet gears

(2018) Dikang Peng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Going Deeper With Contextual CNN for Hyperspectral Image Classification

(2017) Hyungtae Lee et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Wind Turbine Gearbox Failure Identification With Deep Neural Networks

(2017) Long Wang et al.   IEEE Transactions on Industrial Informatics

LSTM network: a deep learning approach for short-term traffic forecast

(2017) Zheng Zhao et al.   IET Intelligent Transport Systems

A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox

(2017) Luyang Jing et al.   MEASUREMENT

A novel vibration-based fault diagnostic algorithm for gearboxes under speed fluctuations without rotational speed measurement

(2017) Liu Hong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

(2017) Luyang Jing et al.   SENSORS

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

(2017) Rui Zhao et al.   SENSORS

Convolutional Neural Network Based Fault Detection for Rotating Machinery

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

Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

(2016) Chuan Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A windowing and mapping strategy for gear tooth fault detection of a planetary gearbox

(2016) Xihui Liang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations

(2014) Francisco Serdio et al.   Information Fusion

Condition monitoring and fault diagnosis of planetary gearboxes: A review

(2013) Yaguo Lei et al.   MEASUREMENT

Wind Turbine Gearbox Fault Detection Using Multiple Sensors With Features Level Data Fusion

(2012) Y. Lu et al.   JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

A Method Based on Multi-Sensor Data Fusion for Fault Detection of Planetary Gearboxes

(2012) Yaguo Lei et al.   SENSORS

Multisensor data fusion: A review of the state-of-the-art

(2011) Bahador Khaleghi et al.   Information Fusion