Rolling bearing fault diagnosis with combined convolutional neural networks and support vector machine

A spiking neural network-based approach to bearing fault diagnosis

(2020) Lin Zuo et al.   JOURNAL OF MANUFACTURING SYSTEMS

Fault Detection of Electric Impact Drills and Coffee Grinders Using Acoustic Signals

(2019) Adam Glowacz   SENSORS

A Novel Deep Learning Network via Multiscale Inner Product With Locally Connected Feature Extraction for Intelligent Fault Detection

(2019) Tongyang Pan et al.   IEEE Transactions on Industrial Informatics

Rolling element bearing fault diagnosis using convolutional neural network and vibration image

(2018) Duy-Tang Hoang et al.   Cognitive Systems Research

Faulty bearing detection, classification and location in a three-phase induction motor based on Stockwell transform and support vector machine

(2018) Megha Singh et al.   MEASUREMENT

Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis

(2018) Wahyu Caesarendra et al.   Applied Sciences-Basel

Recognition of Acoustic Signals of Commutator Motors

(2018) Adam Glowacz   Applied Sciences-Basel

A new feature extraction approach using improved symbolic aggregate approximation for machinery intelligent diagnosis

(2018) Yulong Zhang et al.   MEASUREMENT

A summary of fault modelling and predictive health monitoring of rolling element bearings

(2015) Idriss El-Thalji et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bearing Fault Diagnosis Based on Statistical Locally Linear Embedding

(2015) Xiang Wang et al.   SENSORS

Feature extraction and classification of load dynamic characteristics based on lifting wavelet packet transform in power system load modeling

(2014) Zhenshu Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Roller element bearing fault diagnosis using singular spectrum analysis

(2012) Bubathi Muruganatham et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Identification of bearing faults using time domain zero-crossings

(2011) P.E. William et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING