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Fault Detection and Diagnosis for Multi-Level Cell Flash Memories
2006 IEEE Instrumentation and Measurement Technology Conference Proceedings
◽
10.1109/imtc.2006.328307
◽
2006
◽
Cited By ~ 2
Author(s):
Robert R. Martin
◽
Wen-Ben Jone
◽
Sunil Das
Keyword(s):
Fault Detection
◽
Fault Detection And Diagnosis
◽
Flash Memories
◽
Multi Level
◽
Detection And Diagnosis
Download Full-text
Related Documents
Cited By
References
Fault Detection and Diagnosis for Multi-Level Cell Flash Memories
2006 IEEE Instrumentation and Measurement Technology Conference Proceedings
◽
10.1109/imtc.2006.235838
◽
2006
◽
Author(s):
Robert R. Martin
Keyword(s):
Fault Detection
◽
Fault Detection And Diagnosis
◽
Flash Memories
◽
Multi Level
◽
Detection And Diagnosis
Download Full-text
Adversarial Attacks on Multi-Level Fault Detection and Diagnosis Systems
10.1109/mlsp52302.2021.9596378
◽
2021
◽
Author(s):
Akram S. Awad
◽
Ismail R. Alkhouri
◽
George K. Atia
Keyword(s):
Fault Detection
◽
Fault Detection And Diagnosis
◽
Multi Level
◽
Detection And Diagnosis
Download Full-text
Fault detection and diagnosis of a wheelset-bearing system using a multi-Q-factor and multi-level tunable Q-factor wavelet transform
Measurement
◽
10.1016/j.measurement.2019.05.006
◽
2019
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Vol 143
◽
pp. 112-124
◽
Cited By ~ 8
Author(s):
Jianming Ding
◽
Jingyao Zhou
◽
Yanli Yin
Keyword(s):
Wavelet Transform
◽
Fault Detection
◽
Fault Detection And Diagnosis
◽
Q Factor
◽
Multi Level
◽
Detection And Diagnosis
◽
Bearing System
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Multi-source fault detection and diagnosis based on multi-level Knowledge Graph and Bayesian theory reasoning (S)
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering
◽
10.18293/seke2019-064
◽
2019
◽
Author(s):
Tao Sun
◽
Qi Wang
Keyword(s):
Fault Detection
◽
Bayesian Theory
◽
Fault Detection And Diagnosis
◽
Knowledge Graph
◽
Multi Level
◽
Detection And Diagnosis
◽
Theory Reasoning
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Wind turbine fault detection and diagnosis using LSTM neural network
2020 39th Chinese Control Conference (CCC)
◽
10.23919/ccc50068.2020.9188709
◽
2020
◽
Author(s):
Taoran Yang
◽
Jing Teng
◽
Changling Li
◽
Yizhan Feng
Keyword(s):
Neural Network
◽
Fault Detection
◽
Wind Turbine
◽
Fault Detection And Diagnosis
◽
Detection And Diagnosis
Download Full-text
Fault Detection and Diagnosis of Induction Machine with On-Line Parameter Programming Facility
i-manager’s Journal on Instrumentation and Control Engineering
◽
10.26634/jic.2.1.2787
◽
2014
◽
Vol 2
(1)
◽
pp. 1-8
Author(s):
Sheikh Rafik Manihar Ahmed
◽
Keyword(s):
Fault Detection
◽
Induction Machine
◽
Fault Detection And Diagnosis
◽
Line Parameter
◽
On Line
◽
Detection And Diagnosis
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Overview on hybrid approaches to fault detection and diagnosis: Combining data-driven, physics-based and knowledge-based models
Procedia CIRP
◽
10.1016/j.procir.2021.03.041
◽
2021
◽
Vol 99
◽
pp. 278-283
Author(s):
Yannick Wilhelm
◽
Peter Reimann
◽
Wolfgang Gauchel
◽
Bernhard Mitschang
Keyword(s):
Fault Detection
◽
Fault Detection And Diagnosis
◽
Data Driven
◽
Knowledge Based
◽
Hybrid Approaches
◽
Combining Data
◽
Detection And Diagnosis
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SCADA data analytics for fault detection and diagnosis of wind turbines
2021 7th International Conference on Control, Instrumentation and Automation (ICCIA)
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10.1109/iccia52082.2021.9403538
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2021
◽
Author(s):
Ana Maria Peco Chacon
◽
Fausto Pedro Garcia Marquez
Keyword(s):
Fault Detection
◽
Wind Turbines
◽
Data Analytics
◽
Fault Detection And Diagnosis
◽
Detection And Diagnosis
Download Full-text
Fault detection and diagnosis of a blade pitch system in a floating wind turbine based on Kalman filters and artificial neural networks
Renewable Energy
◽
10.1016/j.renene.2020.12.116
◽
2021
◽
Author(s):
Seongpil Cho
◽
Minjoo Choi
◽
Zhen Gao
◽
Torgeir Moan
Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Fault Detection
◽
Wind Turbine
◽
Kalman Filters
◽
Fault Detection And Diagnosis
◽
Floating Wind Turbine
◽
Artificial Neural
◽
Pitch System
◽
Detection And Diagnosis
Download Full-text
Fault detection and diagnosis for Air Handling Unit based on multiscale convolutional neural networks
Energy and Buildings
◽
10.1016/j.enbuild.2021.110795
◽
2021
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Vol 236
◽
pp. 110795
Author(s):
Fanyong Cheng
◽
Wenjian Cai
◽
Xin Zhang
◽
Huanyue Liao
◽
Can Cui
Keyword(s):
Neural Networks
◽
Fault Detection
◽
Convolutional Neural Networks
◽
Fault Detection And Diagnosis
◽
Air Handling Unit
◽
Detection And Diagnosis
Download Full-text
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