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fault detection (võtmesõna)

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Kirjeid leitud 29
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1

artikkel kogumikus

Analysis of common mode and rapidly varying voltage profile on stator current harmonics of an inverter-fed induction motorSardar, Muhammad Usman; Vaimann, Toomas; Kütt, Lauri; Kallaste, Ants; Asad, Bilal; Kudelina, Karolina; Akbar, Siddique2023 IEEE 64th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Riga, Latvia, October 9-10, 2023 : conference proceedings2023 / 6 p. : ill https://doi.org/10.1109/RTUCON60080.2023.10413067

artikkel kogumikus
2

artikkel kogumikus

Artificial intelligence in monitoring and diagnostics of electrical energy conversion systemsVaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Pomarnacki, Raimondas; Belahcen, Anouar; Van Khang, Hyunh2020 27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary (IWED), Moscow, Russia, January 27-30, 20202020 / 4 p https://doi.org/10.1109/IWED48848.2020.9069566

artikkel kogumikus
3

artikkel kogumikus

Broken rotor bar fault detection using machine learning: Optimal frequency resolutionKoveshnikov, Semen; Bouharrouti, Nada El; Kudelina, Karolina; Naseer, Muhammad Usman; Vaimann, Toomas; Belahcen, Anouar2024 International Conference on Electrical Machines (ICEM)2024 / 6 p https://doi.org/10.1109/ICEM60801.2024.10700228 Article at Scopus Article at WOS

artikkel kogumikus
4

artikkel kogumikus EST / artikkel kogumikus ENG

Condition monitoring and fault detection for electrical machines using IOTRaja, Hadi Ashraf; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, AntsProceedings of the Future Technologies Conference (FTC) 2022. Volume 22023 / p. 162-173 https://doi.org/10.1007/978-3-031-18458-1_12 Conference proceedings at Scopus Article at Scopus

artikkel kogumikus EST / artikkel kogumikus ENG
Seotud publikatsioonid 1
- IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks
5

artikkel kogumikus

Digital twin service unit development for an EV induction motor fault detectionRjabtšikov, Viktor; Mohamed, Mahmoud Ibrahim Hassanin; Asad, Bilal; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, Ants; Kuts, Vladimir; Stepien, Mariusz; Krawczyk, Mateusz2023 IEEE International Conference on Electric Machines and Drives (IEMDC)2023 / 5 p https://doi.org/10.1109/IEMDC55163.2023.10239085

artikkel kogumikus
Seotud publikatsioonid 1
- Development methodology for creating the digital twin for propulsion drive of an electric vehicle = Elektrisõiduki veoajami digitaalse kaksiku arendusmetoodika
6

artikkel kogumikus

Extended checkers for control part of routers in network-on-chipsHariharan, Ranganathan; Niazmand, Behrad; Hollstein, Thomas; Raik, Jaan; Jervan, GertMEDIAN 2015 : the 4th Workshop on Manufacturable and Dependable Multicore Architectures at Nanoscale : March 13, 2015, Grenoble, France2015 / p. 36-39 : ill

artikkel kogumikus
7

artikkel ajakirjas EST / artikkel ajakirjas ENG

Fault detection and protection strategy for multi-terminal HVDC grids using wavelet analysisKaur, Jashandeep; Jayasooriya, Manilka; Iqbal, Muhammad Naveed; Daniel, Kamran; Shabbir, Noman; Peterson, KristjanEnergies2025 / art. 1147 https://doi.org/10.3390/en18051147

artikkel ajakirjas EST / artikkel ajakirjas ENG
8

artikkel kogumikus

From online fault detection to fault management in network-on-chips : a ground-up approachAzad, Siavoosh Payandeh; Niazmand, Behrad; Janson, Karl; Nevin, George; Oyeniran, Adeboye Stephen; Putkaradze, Tsotne; Apneet Kaur; Raik, Jaan; Jervan, Gert; Ubar, Raimund-Johannes; Hollstein, ThomasProceedings 2017 IEEE 20th International Symposium on Design and Diagnotics of Electronic Circuit & Systems(DDECS) : April 19-21, 2017, Dresden, Germany2017 / p. 48-53 : ill https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7934553

artikkel kogumikus
9

artikkel kogumikus

Heat pump induction motor faults caused by soft starter topology — case studyKudelina, Karolina; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Huynh, Van Khang2021 IEEE 19th International Power Electronics and Motion Control Conference, The Silesian University of Technology Gliwice, Poland, 25 - 29 April, 2021 (PEMC) : proceedings2021 / p. 454-459 : ill https://doi.org/10.1109/PEMC48073.2021.9432506

artikkel kogumikus
10

artikkel kogumikus

A hierarchical approach for devising area efficient concurrent online checkersNiazmand, Behrad; Azad, Siavoosh Payandeh; Ghasempouri, Tara; Raik, Jaan; Jervan, GertProceedings 2nd IEEE International Test Conference in Asia : ITC-Asia 2018, 15-17 August 2018, Harbin, China2018 / p. 139-144 : ill https://doi.org/10.1109/ITC-Asia.2018.00034

artikkel kogumikus
11

artikkel kogumikus

Hybrid FEA-Simulink modelling of permanent magnet assisted synchronous reluctance motor with unbalanced magnet fluxPando-Acedo, Jaime; Rassõlkin, Anton; Lehikoinen, Antti; Vaimann, Toomas; Kallaste, Ants; Romero-Cadaval, Enrique; Belahcen, Anouar2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 27-30 Aug. 2019, Toulouse, France : proceedings2019 / p. : 174-180 : ill https://doi.org/10.1109/DEMPED.2019.8864925

artikkel kogumikus
12

artikkel kogumikus EST / artikkel kogumikus ENG

Impact of bearing faults on vibration level of BLDC motorKudelina, Karolina; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, AntsIECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, 20212021 / p. 1-6 : ill https://doi.org/10.1109/IECON48115.2021.9589268 Conference Proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG
13

artikkel kogumikus

The impact of control environments on global parameters of electrical machines in case of broken rotor barsKudelina, Karolina; Raja, Hadi Ashraf; Autsou, Siarhei; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, AntsDiagnostika '22 : 2022 International Conference on Diagnostics in Electrical Engineering : Conference proceedings2022 / 4 p. https://doi.org/10.1109/Diagnostika55131.2022.9905149

artikkel kogumikus
14

artikkel kogumikus

The impact of load on global parameters of electrical machines in case of healthy and broken rotor barsKudelina, Karolina; Raja, Hadi Ashraf; Autsou, Siarhei; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Shabbir, Noman2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 5 l. https://doi.org/10.1109/BEC56180.2022.9935614

artikkel kogumikus
15

artikkel kogumikus

Machine learning enabled fault-detection algorithms for optical spectrum-as-a-service usersPatri, Sai Kireet; Dick, Isabella; Kaeval, Kaida; Müller, Jasper; Pedreno-Manresa, Jose-Juan; Autenrieth, Achim; Elbers, Jörg-Peter; Tikas, Marko; Mas-Machuca, Carmen2023 International Conference on Optical Network Design and Modeling (ONDM) : proceedings2023 / 6 p. : ill https://ieeexplore.ieee.org/document/10144858

artikkel kogumikus
16

artikkel kogumikus

Mechanical vibration analysis of induction machine under dynamic rotor eccentricity [Electronic resource]Sobra, Jan; Vaimann, Toomas; Belahcen, Anouar2016 17th International Scientific Conference on Electric Power Engineering (EPE) : proceedings2016 / [4] p. : ill. [USB] https://doi.org/10.1109/EPE.2016.7521732

artikkel kogumikus
17

artikkel kogumikus

Multi-loop model reference adaptive control of fractional-order PID control systemsAlagoz, Baris Baykant; Tepljakov, Aleksei; Petlenkov, Eduard; Yeroglu, Celaleddin2017 40th International Conference on Telecommunications and Signal Processing TSP : July 5-7, 2017, Barcelona, Spain2017 / p. 702-705 : ill https://doi.org/10.1109/TSP.2017.8076078

artikkel kogumikus
18

artikkel kogumikus

Necessity for implementation of inverse problem theory in electric machine fault diagnosisVaimann, Toomas; Belahcen, Anouar; Kallaste, AntsSDEMPED 2015 : 10th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives : Guarda, Portugal, September 1-4, 2015 : proceedings2015 / p. 380-385 : ill http://dx.doi.org/10.1109/DEMPED.2015.7303718

artikkel kogumikus
19

artikkel kogumikus EST / artikkel kogumikus ENG

Neuro-fuzzy approach for fault prediction of mechanical bearing faults using vibration analysisShirokova, Veroonika; Kudelina, Karolina; Raja, Hadi Ashraf; Rjabtšikov, Viktor; Baraškova, Tatjana; Nutonen, KarleIECON Proceedings (Industrial Electronics Conference) IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society2024 / p. 1-6 https://doi.org/10.1109/IECON55916.2024.10905990 Conference proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG
20

artikkel ajakirjas EST / artikkel ajakirjas ENG

Observer-based residual generation for nonlinear discrete-time systemsKaldmäe, Arvo; Kotta, ÜlleProceedings of the Estonian Academy of Sciences2018 / p. 325-336 https://doi.org/10.3176/proc.2018.4.01 http://www.kirj.ee/public/proceedings_pdf/2018/issue_4/proc-2018-4-325-336.pdf Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
21

artikkel kogumikus

An overview of fuzzy logic approaches for fault diagnosis in energy conversion devicesDemidova, Galina; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, Ants; Zakis, Janis; Suzdalenko, Alexander2021 28th International Workshop on Electric Drives : Improving Reliability of Electric Drives (IWED)2021 / 7 p https://doi.org/10.1109/IWED52055.2021.9376389

artikkel kogumikus
22

artikkel kogumikus

Preliminary analysis of bearing current faults for predictive maintenanceKudelina, Karolina; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van Khang2023 IEEE International Conference on Electric Machines and Drives (IEMDC)2023 / 5 p. : ill https://doi.org/10.1109/IEMDC55163.2023.10238934

artikkel kogumikus
Seotud publikatsioonid 1
- Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
23

artikkel kogumikus

Preliminary analysis of global parameters of induction machine for fault prediction in rotor barsKudelina, Karolina; Raja, Hadi Ashraf; Autsou, Siarhei; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC) : Brasov, Romania, 25-28 Sept. 2022 : proceedings2022 / p. 243-248 : ill https://doi.org/10.1109/PEMC51159.2022.9962922

artikkel kogumikus
24

artikkel kogumikus

Preliminary analysis of mechanical bearing faults for predictive maintenance of electrical machinesKudelina, Karolina; Raja, Hadi Ashraf; Autsou, Siarhei; Naseer, Muhammad Usman; Vaimann, Toomas; Kallaste, Ants; Pomamacki, Raimondas; Hyunh, Van Khang2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)2023 / p. 430-435 : ill https://doi.org/10.1109/SDEMPED54949.2023.10271451

artikkel kogumikus
Seotud publikatsioonid 1
- Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
25

artikkel kogumikus

Requirements to data acquisition and signal analysis for electrical grid condition monitoringAnijärv, Toomas Erik; Shabbir, Noman; Kütt, Lauri; Iqbal, Muhammad Naveed2020 IEEE 61st International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Riga, Latvia, Nov. 5-7, 2020 : conference proceedings2020 https://doi.org/10.1109/RTUCON51174.2020.9316487

artikkel kogumikus

Kirjeid leitud 29, kuvan 1 - 25

eelmine
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2
järgmine

1. AI-based fault detection
2. asynchronous fault detection
3. fault detection
4. fault detection and classification
5. fault detection and diagnoses
6. fault detection and diagnosis
7. automatic fault diagnosis
8. bearing fault diagnosis
9. bi-directional fault monitoring devices
10. conditional fault collapsing
11. control fault models
12. critical path fault tracing
13. cross-layer fault tolerance
14. cross-layered fault management
15. extended fault class
16. fault currents
17. fault analysis
18. fault analysis model
19. fault classification
20. fault classification
21. fault collapsing
22. fault compensation
23. fault coverage
24. fault current and voltage measurements
25. Fault current limite
26. fault current limiter
27. fault diagnosis
28. fault diagnostic
29. fault diagnostic resolution
30. fault diagnostics
31. fault dignosis
32. fault effects
33. fault emulation
34. fault equivalence and dominance
35. fault handling
36. fault handling strategy
37. fault indicator
38. fault injection
39. Fault Injection Simulation
40. fault Interruption
41. fault localization
42. fault location
43. fault management
44. fault masking
45. fault modeling
46. fault models
47. fault monitoring
48. fault prediction
49. fault protection
50. fault redundancy
51. fault resilience
52. fault ride through
53. Fault ride through enhancement
54. fault signal
55. fault simulastion
56. fault simulation
57. fault simulation with critical path tracing
58. fault tolerance
59. fault tolerant
60. fault tolerant control
61. fault tolerant operation
62. fault tolerant router design
63. fault tolerant systems
64. fault tree analysis
65. fault-injection attack
66. fault-plane solution
67. fault-resilience
68. fault-resistant
69. fault-ride-through (FRT)
70. fault-tolerance
71. fault-tolerant
72. Fault-tolerant (FT) converters
73. fault-tolerant control
74. fault-tolerant converter
75. functional fault model
76. high-level control fault model
77. high-level fault coverage
78. high-level fault model
79. high-level fault simulation
80. high-level functional fault model
81. Katun fault
82. low-level fault redundancy
83. no fault found
84. No-Fault-Found
85. open circuit fault
86. Parallel Fault Simulation with Critical Path Backtracing
87. parallel fault-simulation
88. short circuit fault
89. spectrum-based fault localization
90. stacking fault
91. stuck-at fault model
92. test generation and fault diagnosis
93. transient fault mitigation
94. transmission lines fault
95. amoxicillin detection
96. anomaly detection
97. anomaly detection for system logs
98. antibiotic detection
99. antibiotics detection
100. aspect detection
101. attack detection
102. barotrauma detection system
103. Barotrauma detection system sensors
104. behaviour-based intrusion detection systems
105. body detection
106. botnet detection
107. capacitively coupled conductivity detection
108. change detection
109. chemical detection
110. community detection
111. compu ter-aided detection(CAD)
112. computer-aided detection
113. computer‐aided detection
114. contactless conductivity detection
115. contactless conductivity detection (C4D)
116. crack detection
117. crash detection
118. cyber intrusion detection
119. defect detection
120. detection
121. detection efficiency
122. detection engineering
123. detection mechanisms
124. detection method
125. detection methods
126. detection of anomalous end user nodes
127. detection of hydrogen isotopes
128. distributed detection
129. early detection
130. early intrusion detection
131. energy detection
132. error detection
133. ESI-MS and IM detection
134. evaluation of explainable AI intrusion detection
135. Event detection
136. extraction and detection methods
137. face detection
138. Face Manipulation Detection
139. failure detection
140. fall detection
141. Fish detection
142. fouling detection
143. harmonic detection
144. health care IoMT intrusion detection
145. hepatitis C virus (HCV) detection
146. hubs detection
147. IED detection
148. image-based crack detection
149. indicident detection and response
150. indirect UV absorbance detection
151. intrusion detection
152. intrusion detection system (IDS)
153. intrusion detection systems
154. intrusion detection systems (IDS)
155. island detection
156. islanding detection
157. label-free detection
158. lane detection
159. lane line detection
160. LED fluorescence detection
161. leg detection
162. light detection and ranging
163. light detection and ranging (LiDAR)
164. Light Detection and Ranging (LiDAR) point cloud
165. limit of detection
166. lock-in detection
167. loop-closure detection
168. malware detection
169. marker detection
170. mobile malware detection
171. money laundering detection systems
172. monitoring and detection
173. multi-classed object detection
174. Multi-valued Simulation for Hazard Detection in Digital Circuits
175. mutant detection
176. network anomaly detection
177. network intrusion detection system
178. nodules detection
179. object detection
180. oil-spill detection
181. outlier’s detection methods
182. outliers detection
183. peak detection
184. phytoplankton detection methods
185. plagiarism detection
186. position detection
187. precursor detection
188. propaganda detection
189. protein detection
190. proton detection
191. radar detection
192. ramp event detection
193. recycled FPGA detection
194. residual current detection
195. robust detection
196. scene text detection
197. short-circuit detection
198. Side-Channel Attack Detection
199. small molecule detection
200. speech activity detection
201. Suicidal ideation detection
202. synchronous detection
203. topic detection
204. tyre detection
205. unmanned aerial vehicle detection systems
206. unsupervised outlier detection
207. UV detection
208. vehicle detection
209. vortex detection
210. 3D lane detection

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