Amanote Research
Register
Sign In
Rotating Machinery Vibration Signal Processing and Fault Diagnosis Based on LMD
MATEC Web of Conferences
- France
doi 10.1051/matecconf/20165410002
Full Text
Open PDF
Abstract
Available in
full text
Categories
Materials Science
Engineering
Chemistry
Date
January 1, 2016
Authors
Ruirui Bo
Ze Zhang
Publisher
EDP Sciences
Related search
Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors
International Journal of Distributed Sensor Networks
Computer Networks
Engineering
Communications
Research on Fault Diagnosis Model of Rotating Machinery Vibration Based on Information Entropy and Improved SVM
E3S Web of Conferences
Earth
Energy
Planetary Sciences
Environmental Science
Knowledge Modeling of Fault Diagnosis for Rotating Machinery Based on Ontology
Feature Extraction Based on Adaptive Multiwavelets and LTSA for Rotating Machinery Fault Diagnosis
Shock and Vibration
Mechanics of Materials
Geotechnical Engineering
Condensed Matter Physics
Mechanical Engineering
Civil
Engineering Geology
Structural Engineering
Weak Fault Signal Detection of Rotating Machinery Based on Multistable Stochastic Resonance and VMD-AMD
Shock and Vibration
Mechanics of Materials
Geotechnical Engineering
Condensed Matter Physics
Mechanical Engineering
Civil
Engineering Geology
Structural Engineering
Rotating Machinery Fault Diagnosis for Imbalanced Data Based on Fast Clustering Algorithm and Support Vector Machine
Journal of Sensors
Control
Systems Engineering
Instrumentation
Electrical
Electronic Engineering
Dynamics-Based Vibration Signal Modeling for Tooth Fault Diagnosis of Planetary Gearboxes
The Research of Vibration Signal De-Noising Method Based on LMD and Wavelet De-Noise
Intelligent Fault Diagnosis of Rotating Machinery Using Support Vector Machine and Improved ABC