Results 201 to 210 of about 13,671 (263)

A Novel Evidence-Based Framework for Picture Fuzzy Sets: Theory and Applications of Belief and Plausibility. [PDF]

Entropy (Basel)
Hussain R, Hussain Z, Ali M, Przybyła-Kasperek M.   +3 more
europepmc   +1 more source

Electric Bicycle Series Arc Fault Identification Method Based on Improved PCA and SVM. [PDF]

Sensors (Basel)
Yang K, Chen J, Yang Z, Ma Z, Zhang R.
europepmc   +1 more source

A protection strategy for distribution networks using IoT technology and support vector machine. [PDF]

Sci Rep
Shalby EM, Abdelaziz AY, Ahmed ES, Rashad BA.   +3 more
europepmc   +1 more source

A Novel Gear Fault Diagnosis Method Based on COA-VMD, RCMFE and SSA-BP. [PDF]

Entropy (Basel)
Chen D, Lv H, Li X, Liang W, Bai K, Zhao X, Cao L, Zhou X.   +7 more
europepmc   +1 more source

A Review of Physics-Informed and Data-Driven Surrogate Models for Power Transformer Fault Diagnosis. [PDF]

Sensors (Basel)
Wan G, Yang K, Xiong F, Chen J.
europepmc   +1 more source

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Fundamental Problems in Fault Detection and Identification

International Journal of Robust and Nonlinear Control, 2000
A certain number of different fault detection and identification problems are stated in order to find weaker requirements on fault detection and identification leading to a possible relaxation of the solvability conditions. Weaker requirements can be found by considering the following different notions: 1) almost fault detection and identification, 2 ...
Anton A. Stoorvogel, Hans H. Niemann, Ali Saberi   +2 more
exaly   +4 more sources

Reliable Algebraic Fault Detection and Identification of Robots

IEEE Transactions on Automation Science and Engineering, 2022
Joachim Deutscher, Alexander Lomakin
exaly   +2 more sources

PARAMETRIC IDENTIFICATION FOR ROBUST FAULT DETECTION

IFAC Proceedings Volumes, 2002
Abstract The work presents some simulation results concerning the application of robust model–based fault diagnosis to an industrial process by using identification and disturbance de–coupling techniques. The first step of the considered approach identifies several equation error models by means of the input–output data acquired from the monitored ...
Fantuzzi C., Simani S.
openaire   +1 more source