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Search: "[ keyword: Fault diagnosis ]" (4)
Gear Fault Diagnosis Based on Residual Patterns of Current and Vibration Data by Collaborative Robot’s Motions Using LSTM
Baek Ji Hoon, Yoo Dong Yeon, Lee Jung Won KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 10, pp. 445-454,
Oct.
2023
https://doi.org/10.3745/KTSDE.2023.12.10.445
Keywords: Gear Fault Diagnosis, Correlation Analysis, LSTM, Collaborative Robot, Prognostics and Health Management
https://doi.org/10.3745/KTSDE.2023.12.10.445
Keywords: Gear Fault Diagnosis, Correlation Analysis, LSTM, Collaborative Robot, Prognostics and Health Management
Learning Method for Regression Model by Analysis of Relationship Between Input and Output Data with Periodicity
Hye-Jin Kim, Ye-Seul Park, Jung-Won Lee KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 7, pp. 299-306,
Jul.
2022
https://doi.org/10.3745/KTSDE.2022.11.7.299
Keywords: Neural Network, Fault diagnosis, Sensor data, Regression Model, Thermal Estimation
https://doi.org/10.3745/KTSDE.2022.11.7.299
Keywords: Neural Network, Fault diagnosis, Sensor data, Regression Model, Thermal Estimation
An Input Transformation with MFCCs and CNN Learning Based Robust Bearing Fault Diagnosis Method for Various Working Conditions
Yangjin Seo KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 4, pp. 179-188,
Apr.
2022
https://doi.org/10.3745/KTSDE.2022.11.4.179
Keywords: Bearing Fault Diagnosis, Deep Learning, Distribution Difference, MFCCs, CNN
https://doi.org/10.3745/KTSDE.2022.11.4.179
Keywords: Bearing Fault Diagnosis, Deep Learning, Distribution Difference, MFCCs, CNN
RBR Based Network Configuration Fault Management Algorithms using Agent Collaboration
Kwang Jong Cho, Seong Jin Ahn, Jin Wook Chung The KIPS Transactions:PartC,
Vol. 9, No. 4, pp. 497-504,
Aug.
2002
10.3745/KIPSTC.2002.9.4.497
10.3745/KIPSTC.2002.9.4.497
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Vol. 1, 2012
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Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).