Invention Grant
- Patent Title: Method and apparatus for performing motor-fault detection via convolutional neural networks
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Application No.: US15184372Application Date: 2016-06-16
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Publication No.: US10586153B2Publication Date: 2020-03-10
- Inventor: Serkan Kiranyaz , Turker Ince , Levent Eren
- Applicant: QATAR UNIVERSITY
- Applicant Address: QA Doha
- Assignee: QATAR UNIVERSITY
- Current Assignee: QATAR UNIVERSITY
- Current Assignee Address: QA Doha
- Agency: Squire Patton Boggs (US) LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G05B23/02 ; G06F11/26
Abstract:
A method and apparatus may include receiving a signal from a motor. The signal is received while the motor is operating. The method also includes performing a pre-processing of the signal. The method also includes inputting the signal to a 1D convolutional neural network. The method also includes detecting a fault of the motor based on the output of the neural network.
Public/Granted literature
- US20170364800A1 METHOD AND APPARATUS FOR PERFORMING MOTOR-FAULT DETECTION VIA CONVOLUTIONAL NEURAL NETWORKS Public/Granted day:2017-12-21
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