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IEEE Transactions on Industrial Informatics, ISSN 1551-3203, 11/2013, Volume 9, Issue 4, pp. 2226 - 2238
Journal Article
International Journal of Hydrogen Energy, ISSN 0360-3199, 01/2017, Volume 42, Issue 2, pp. 1534 - 1543
Journal Article
Applied Energy, ISSN 0306-2619, 07/2016, Volume 173, pp. 366 - 385
Journal Article
Journal of Power Sources, ISSN 0378-7753, 2009, Volume 192, Issue 1, pp. 216 - 223
In this work, a model-based fault diagnosis methodology for PEM fuel cell systems is presented. The methodology is based on computing residuals, indicators... 
Fault detection | PEMFC | Fault diagnostic | ELECTROCHEMISTRY | ENERGY & FUELS | Fuel cell industry | Analysis | Fuel cells | Fault diagnosis | Faults | Methodology | Systems modelling | Mathematical analysis | Signatures
Journal Article
IEEE Transactions on Industrial Electronics, ISSN 0278-0046, 07/2017, Volume 64, Issue 7, pp. 5701 - 5708
Journal Article
Sensors (Switzerland), ISSN 1424-8220, 04/2018, Volume 18, Issue 4, p. 1016
The diagnosis method for a weak-fault model with only normal behaviors of each component has evolved over decades. However, many systems now demand a... 
Fault diagnosis | A strong-fault model | Conflict directed A | Truth maintenance system | Model-based diagnosis | ELECTROCHEMISTRY | CHEMISTRY, ANALYTICAL | fault diagnosis | INSTRUMENTS & INSTRUMENTATION | a strong-fault model | SEARCH | truth maintenance system | PART II | model-based diagnosis | QUANTITATIVE MODEL | conflict directed A
Journal Article
Neurocomputing, ISSN 0925-2312, 09/2018, Volume 306, pp. 51 - 60
To meet the rising demands for safety and reliability of modern industrial control systems, the model-based fault diagnosis problem has attracted much... 
Fault diagnosis | Linear discrete time-varying | Model-based | PARITY SPACE APPROACH | DESIGN | FILTER | KNOWLEDGE | STATE | DATA-DRIVEN | OBSERVER | ORDER SLIDING-MODE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Electrical engineering | Physical instruments | Control systems
Journal Article
Neurocomputing, ISSN 0925-2312, 11/2018, Volume 319, pp. 155 - 163
Fault diagnosis plays an important role in guaranteeing system safety and reliability for unmanned aerial vehicles (UAVs). In this study, a hybrid feature... 
Deep learning | UAV sensors | Model based fault diagnosis | Short-time fourier transform | Convolutional neural network | SYSTEM | NEURAL-NETWORK | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Electrical engineering | Drone aircraft | School construction | Sensors | Neural networks | Analysis
Journal Article
Annual Reviews in Control, ISSN 1367-5788, 2016, Volume 42, pp. 63 - 81
Journal Article