A 3D convolutional neural network based near-field acoustical holography method with sparse sampling rate on measuring surface

Sound quality evaluation of electronic expansion valve using Gaussian restricted Boltzmann machines based DBN

(2020) Bin. Zhao et al.   APPLIED ACOUSTICS

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

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The development of a deep neural network and its application to evaluating the interior sound quality of pure electric vehicles

(2018) Hai B. Huang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

(2017) Osama Abdeljaber et al.   JOURNAL OF SOUND AND VIBRATION

Sound field reconstruction using compressed modal equivalent point source method

(2017) Chuan-Xing Bi et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

A sparse equivalent source method for near-field acoustic holography

(2017) Efren Fernandez-Grande et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

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

(2017) Luyang Jing et al.   MEASUREMENT

A patch near-field acoustical holography procedure based on a generalized discrete Fourier series

(2017) A.M. Pasqual   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

(2017) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2017) Rui Zhao et al.   SENSORS

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS

Identification of vehicle suspension shock absorber squeak and rattle noise based on wavelet packet transforms and a genetic algorithm-support vector machine

(2016) Hai B. Huang et al.   APPLIED ACOUSTICS

Convolutional Neural Network Based Fault Detection for Rotating Machinery

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

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

(2016) Xiaojie Guo et al.   MEASUREMENT

A sparse auto-encoder-based deep neural network approach for induction motor faults classification

(2016) Wenjun Sun et al.   MEASUREMENT

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

Scaling of plane-wave functions in statistically optimized near-field acoustic holography

(2014) Jørgen Hald   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

A fault diagnosis scheme of rolling element bearing based on near-field acoustic holography and gray level co-occurrence matrix

(2012) Wenbo Lu et al.   JOURNAL OF SOUND AND VIBRATION

Near-field acoustic holography using sparse regularization and compressive sampling principles

(2012) Gilles Chardon et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

Identification of vibration excitations from acoustic measurements using near field acoustic holography and the force analysis technique

(2009) C. Pézerat et al.   JOURNAL OF SOUND AND VIBRATION