Rotating Machinery Diagnostics Using Deep Learning on Orbit Plot Images

Author:

Jeong Haedong,Park Seungtae,Woo Sunhee,Lee Seungchul

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference19 articles.

1. Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition;Abdel-Hamid;In: Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on. IEEE,2012

2. A Computational approach to edge detection;Canny;Pattern Analysis and Machine Intelligence,1986

3. Duda Richard O, Peter E Hart, and David G Stork, Pattern classification, John Wiley & Sons, 2012.

4. Eisenmann Robert C. Machinery malfunction diagnosis and correction: Vibration analysis and troubleshooting for the process industries: Prentice Hall, 1998.

5. Application of full spectrum to rotating machinery diagnostics;Goldman;Orbit.,1999

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