Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection

An Optimized Adaptive PReLU-DBN for Rolling Element Bearing Fault Diagnosis

(2021) Guangxing Niu et al.   NEUROCOMPUTING

A generalized health indicator for performance degradation assessment of rolling element bearings based on graph spectrum reconstruction and spectrum characterization

(2021) Xin Wang et al.   MEASUREMENT

Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images

(2021) Anurag Choudhary et al.   MEASUREMENT

Transfer remaining useful life estimation of bearing using depth-wise separable convolution recurrent network

(2021) Gangjin Huang et al.   MEASUREMENT

An approach to improve high-frequency resonance technique for bearing fault diagnosis

(2021) Sitesh Kumar Mishra et al.   MEASUREMENT

Research on gear fault diagnosis based on feature fusion optimization and improved two hidden layer extreme learning machine

(2021) Lizheng Pan et al.   MEASUREMENT

A novel hybrid method based on KELM with SAPSO for fault diagnosis of rolling bearing under variable operating conditions

(2021) Hao Su et al.   MEASUREMENT

A robust condition monitoring methodology for grinding wheel wear identification using Hilbert Huang transform

(2021) Supriyo Mahata et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

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

(2020) Zhenya Wang et al.   MEASUREMENT

Research on rolling bearing state health monitoring and life prediction based on PCA and Internet of things with multi-sensor

(2020) Heng Wang et al.   MEASUREMENT

Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review

(2020) Purushottam Gangsar et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Journal bearing seizure degradation assessment and remaining useful life prediction based on long short-term memory neural network

(2020) Ning Ding et al.   MEASUREMENT

Multi-source feature extraction of rolling bearing compression measurement signal based on independent component analysis

(2020) Jing Li et al.   MEASUREMENT

A new intelligent fault identification method based on transfer locality preserving projection for actual diagnosis scenario of rotating machinery

(2019) Huailiang Zheng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Weibull accelerated failure time regression model for remaining useful life prediction of bearing working under multiple operating conditions

(2019) Pradeep Kundu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling bearing fault detection using continuous deep belief network with locally linear embedding

(2018) Haidong Shao et al.   COMPUTERS IN INDUSTRY

Canonical variable analysis and long short-term memory for fault diagnosis and performance estimation of a centrifugal compressor

(2018) Xiaochuan Li et al.   CONTROL ENGINEERING PRACTICE

Sigmoid-based refined composite multiscale fuzzy entropy and t-SNE based fault diagnosis approach for rolling bearing

(2018) Jinde Zheng et al.   MEASUREMENT

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis

(2018) Xiaoli Zhao et al.   NEUROCOMPUTING

Laplacian Eigenmaps Feature Conversion and Particle Swarm Optimization-Based Deep Neural Network for Machine Condition Monitoring

(2018) Nanqi Yuan et al.   Applied Sciences-Basel

Study on planetary gear fault diagnosis based on entropy feature fusion of ensemble empirical mode decomposition

(2016) Gang Cheng et al.   MEASUREMENT

An optimal fault detection threshold for early detection using Kullback–Leibler Divergence for unknown distribution data

(2016) Abdulrahman Youssef et al.   SIGNAL PROCESSING

Bearing diagnosis based on Mahalanobis–Taguchi–Gram–Schmidt method

(2015) Piyush Shakya et al.   JOURNAL OF SOUND AND VIBRATION

Gear classification and fault detection using a diffusion map framework

(2015) Tuomo Sipola et al.   PATTERN RECOGNITION LETTERS

A novel methodology for online detection of bearing health status for naturally progressing defect

(2014) Piyush Shakya et al.   JOURNAL OF SOUND AND VIBRATION

Multi-fault diagnosis study on roller bearing based on multi-kernel support vector machine with chaotic particle swarm optimization

(2013) Fafa Chen et al.   MEASUREMENT

Feature selection for high-dimensional machinery fault diagnosis data using multiple models and Radial Basis Function networks

(2011) Kui Zhang et al.   NEUROCOMPUTING

Mahalanobis Taguchi System (MTS) as a Prognostics Tool for Rolling Element Bearing Failures

(2010) Ahmet Soylemezoglu et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Multivariate and multiscale monitoring of large-size low-speed bearings using Ensemble Empirical Mode Decomposition method combined with Principal Component Analysis

(2009) Matej Žvokelj et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING