Related references
Note: Only part of the references are listed.An Industrial Internet Application for Real-Time Fault Diagnosis in Industrial Motors
Saul Langarica et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2020)
Integrated condition monitoring scheme for bearing fault diagnosis of a wind turbine gearbox
Vamsi Inturi et al.
JOURNAL OF VIBRATION AND CONTROL (2019)
A novel robust kernel for classifying high-dimensional data using Support Vector Machines
Syed Fawad Hussain
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Feature frequency extraction based on singular value decomposition and its application on rotor faults diagnosis
Zhen Li et al.
JOURNAL OF VIBRATION AND CONTROL (2019)
A review on the application of deep learning in system health management
Samir Khan et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Efficient kNN Classification With Different Numbers of Nearest Neighbors
Shichao Zhang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Rolling bearing fault diagnosis approach using probabilistic principal component analysis denoising and cyclic bispectrum
Bingzhen Jiang et al.
JOURNAL OF VIBRATION AND CONTROL (2016)
The weak fault diagnosis and condition monitoring of rolling element bearing using minimum entropy deconvolution and envelop spectrum
Ruilong Jiang et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE (2013)
Analysis of Nonlinear Phenomena in High Speed Ball Bearings due to Radial Clearance and Unbalanced Rotor Effects
S. H. Upadhyay et al.
JOURNAL OF VIBRATION AND CONTROL (2010)