scholarly journals Fault diagnosis of single-point cutting tool using vibration signal by rotation forest algorithm

2019 ◽  
Vol 1 (9) ◽  
Author(s):  
Suhas S. Aralikatti ◽  
K. N. Ravikumar ◽  
Hemantha Kumar
Keyword(s):  
Fault Diagnosis ◽  
Cutting Tool ◽  
Single Point ◽  
Vibration Signal ◽  
Rotation Forest

Rolling Bearing Fault Diagnosis with EMD-Based Fault Characteristic Frequency Difference Analysis

2014 ◽  
Vol 596 ◽  
pp. 437-441 ◽  
Author(s):  
Yan Ping Guo ◽  
Yu Xiong ◽  
Guo Cui Song
Keyword(s):  
Fault Diagnosis ◽  
Single Point ◽  
Vibration Signal ◽  
Rolling Bearing ◽  
Test Bed ◽  
Vibration Measurements ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Vibration Signal Analysis ◽  
Fault Characteristic

This paper presents a novel single-point rolling bearing fault diagnosis mechanism through vibration signal analysis. It is highlighted that the rolling bearing operational state can be well estimated by the first small set of Intrinsic Mode Function (IMF) components of the original vibration measurements through Empirical Mode Decomposition (EMD). These IMF components can be further translated into envelope spectrum by using Hilbert Transform. As a result, the difference of fault characteristic frequencies (DFCF) is derived to properly characterize different fault patterns for fault diagnosis. The suggested method is implemented and evaluated in a rolling bearing test bed for a range of failure scenarios (e.g. inner and outer raceway fault, rolling elements fault) with extensive vibration measurements. The result demonstrates that the proposed solution is effective for characterizing and detecting arrange of rolling bearing faults.quality).

scholarly journals Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal

Sensors ◽  
2015 ◽  
Vol 15 (9) ◽  
pp. 23903-23926 ◽  
Author(s):  
Mariela Cerrada ◽  
René Sánchez ◽  
Diego Cabrera ◽  
Grover Zurita ◽  
Chuan Li
Keyword(s):  
Genetic Algorithms ◽  
Feature Selection ◽  
Fault Diagnosis ◽  
Vibration Signal ◽  
Multi Stage
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