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Showing results 1 to 9 of 9

1
Design of fault diagnosis expert system using improved fuzzy cognitive maps and rough set techniques = 개선된 퍼지 인지 맵과 러프 집합 이론을 이용한 고장 진단 전문가 시스템의 설계link

Lee, Jong-Pil; 이종필; et al, 한국과학기술원, 1997

2
Development of a rule-based diagnostic platform on an object-oriented expert system shell

Wang, Wenlin; Yang, Ming; Seong, Poong Hyun, ANNALS OF NUCLEAR ENERGY, v.88, pp.252 - 264, 2016-02

3
Hybrid deep transfer learning architecture for industrial fault diagnosis using Hilbert transform and DCNN-LSTM

Zabin, Mahe; Choi, Ho-Jin; Uddin, Jia, JOURNAL OF SUPERCOMPUTING, v.79, no.5, pp.5181 - 5200, 2023-03

4
Model-based Sensor Fault Diagnosis of Vehicle Suspensions with a Support Vector Machine

Jeong, Kicheol; Choi, Seibum, INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, v.20, no.5, pp.961 - 970, 2019-10

5
Neural network based fault diagnosis for chemical processes and safety evaluation system for plant start-up = 신경망을 이용한 화학공정의 고장 진단과 공장 Start-up의 안전성 평가 시스템link

Lee, Sang-Gyu; 이상규; et al, 한국과학기술원, 1997

6
Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals

Tama, Bayu Adhi; Vania, Malinda; Lee, Seungchul; Lim, Sunghoon, ARTIFICIAL INTELLIGENCE REVIEW, v.56, no.5, pp.4667 - 4709, 2023-05

7
Takagi-Sugeno Fuzzy Observer-Based Magnetorheological Damper Fault Diagnosis Using a Support Vector Machine

Jeong, Kicheol; Choi, Seibum B., IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, v.30, no.4, pp.1723 - 1735, 2022-07

8
Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps

Sun, Kyung Ho; Huh, Hyunsuk; Tama, Bayu Adhi; Lee, Soo Young; Ha Jung, Joon; Lee, Seungchul, IEEE ACCESS, v.8, pp.129169 - 129179, 2020

9
다중입력 다중출력 선형 궤환제어 시스템의 결함분류 성능지표 및 능동적 결함진단 = Degree of fault isolability and active fault diagnosis for multi-input-multi-output linear feedback control systemlink

박성호; Park, Sung-Ho; 박영진; Park, Young-Jin; et al, 한국과학기술원, 2013

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