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Deep Learning based Diagnostics for Rotating Machinery on Orbit Analysis

Jeong, Haedong , Park, Seungtae , Lee, Seungchul

Conference Paper Issue Date2016-11-15 View3
Deep Learning based Diagnostics of Orbit Patterns in rotating machinery

Jeong, Haedong , Woo, Sunhee , Kim, Suhyun , Park, Seungtae , Kim, Heechang , Lee, Seungchul

Conference Paper Issue Date2016-10-05 View3
Example-based Methods to Explain the Internal Generative Mechanism of Deep Generative Neural Networks File

Jeong, Haedong

Thesis Issue Date2022-08 View14
Experimental study on the life prediction of servo motors through model-based system degradation assessment and accelerated degradation testing File

Park, Bumsoo , Jeong, Haedong , Huh, Hyunseuk , Kim, Minsub , Lee, Seungchul

Article Issue Date2018-11 View5
Fault detection and identification method using observer-based residuals File

Jeong, Haedong , Park, Bumsoo , Park, Seungtae , Min, Hyungcheol , Lee, Seungchul

Article Issue Date2019-04 View4
PHM for Manufacturing Industry with IoT and Cloud Platform

Jeong, Haedong , Woo, Sunhee , Lee, Seungchul

Conference Paper Issue Date2016-11-15 View3
Rotating Machinery Diagnostics using Deep Learning on Orbit Plot Images

Jeong, Haedong , Park, Seungtae , Woo, Sunhee , Lee, Seungchul

Conference Paper Issue Date2016-06-29 View4
Rotating Machinery Diagnostics Using Deep Learning on Orbit Plot Images File File

Jeong, Haedong , Park, Seungtae , Woo, Sunhee , Lee, Seungchul

Article Issue Date2016-07 View4
System Diagnostics using Kalman Filter Estimation Error

Park, Seungtae , Jeong, Haedong , Min, Hyungchul , Lee, Seungchul

Conference Paper Issue Date2015-11-25 View4
Vision-based real-time layer error quantification for additive manufacturing File

Jeong, Haedong , Kim, Minsub , Park, Bumsoo , Lee, Seungchul

Conference Paper Issue Date2017-06-04 View4
Wavelet-like convolutional neural network structure for time-series data classification File

Park, Seungtae , Jeong, Haedong , Min, Hyungcheol , Lee, Hojin , Lee, Seungchul

Article Issue Date2018-08 View6
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