STFT Based Approach for Ball Bearing Fault Detection in a Varying Speed Motor

2012 ◽  
pp. 41-50 ◽  
Author(s):  
Marco Cocconcelli ◽  
Radoslaw Zimroz ◽  
Riccardo Rubini ◽  
Walter Bartelmus
Keyword(s):  
Fault Detection ◽  
Ball Bearing ◽  
Bearing Fault ◽  
Bearing Fault Detection

scholarly journals Linear Bearing Fault Detection in Operational Condition Using Artificial Neural Network

2019 ◽  
Vol 24 ◽  
pp. 01004
Author(s):  
Siwanu Lawbootsa ◽  
Prathan Chommaungpuck ◽  
Jiraphon Srisertpol
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fault Detection ◽  
Ball Bearing ◽  
Fault Detection And Isolation ◽  
Bearing Faults ◽  
Bearing Fault ◽  
Bearing Fault Detection ◽  
Artificial Neural ◽  
Bearing Damage

Nowadays, Factors of a competition of Hard Disk Drive (HDD) industry have reduced the cost of manufacturing process via increasing the rate of productivity and reliability of the automation machine. This paper aims to increase the efficacy of Condition-Based Maintenance (CBM) of linear bearing in Auto Core Adhesion Mounting machine (ACAM). The linear bearing faults considered in three causes such as healthy bearing, one ball bearing damage and one ball bearing damage with starved lubricant. The Fast Fourier Transform spectrum (FFT spectrum) can be detected for linear bearing faults and Artificial Neural Network (ANN) method used to analyze the cause of linear bearing faults in operational condition. The experimental results show the potential application of ANN and FFT spectrum technique as Fault Detection and Isolation (FDI) tool for linear bearing fault detection performance. The accuracy and decision making of ANN is enough to develop the diagnostic method for automation machine in operational condition.

scholarly journals Bearing Fault Detection Using Scalogram and Switchable Normalization-Based CNN (SN-CNN)

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Dhiraj Neupane ◽  
Yunsu Kim ◽  
Jongwon Seok
Keyword(s):  
Fault Detection ◽  
Bearing Fault ◽  
Bearing Fault Detection
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