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Advances in machine fault diagnosis (allikas)

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Kirjeid leitud 3
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Advances in machine fault diagnosisVaimann, ToomasAdvances in machine fault diagnosis2022 / p. 1-5 https://doi.org/10.3390/app11167348

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The cluster computation-based hybrid FEM–analytical model of induction motor for fault diagnosticsAsad, Bilal; Vaimann, Toomas; Belahcen, Anouar; Kallaste, Ants; Rassõlkin, Anton; Iqbal, Muhammad NaveedAdvances in machine fault diagnosis2022 / p. 27-41 https://doi.org/10.3390/app10217572

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Transient modeling and recovery of non-stationary fault signature for condition monitoring of induction motorsAsad, Bilal; Vaimann, Toomas; Belahcen, Anouar; Kallaste, Ants; Rassõlkin, Anton; Ghahfarokhi, Payam ShamsAdvances in machine fault diagnosis2022 / p. 43-59 https://doi.org/10.3390/app11062806

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Kirjeid leitud 3, kuvan 1 - 3

1. automatic fault diagnosis
2. bearing fault diagnosis
3. fault detection and diagnosis
4. fault diagnosis
5. test generation and fault diagnosis
6. machine-to-machine communications
7. board diagnosis
8. broken rotor bars diagnosis
9. computer aided diagnosis
10. computer-aided diagnosis
11. diagnosis
12. diagnosis and performance monitoring
13. disease diagnosis
14. early diagnosis
15. AC machine
16. adversarial machine learning
17. adversarial machine-learning
18. Algorithmic State Machine - ASM
19. asynchronous fault detection
20. automatic machine learning (autoML)
21. axial flux machine
22. axial flux switched reluctance machine
23. bearingless machine
24. bi-directional fault monitoring devices
25. brushless machine
26. conditional fault collapsing
27. control fault models
28. coordinate measurring machine
29. critical path fault tracing
30. cross-layer fault tolerance
31. cross-layered fault management
32. electric machine
33. electric machine analysis computing
34. electric machine control
35. electrical machine
36. electrical machine cooling
37. electrical machine design
38. extended fault class
39. fault currents
40. fault analysis
41. fault analysis model
42. fault classification
43. fault classification
44. fault collapsing
45. fault compensation
46. fault coverage
47. fault current and voltage measurements
48. Fault current limite
49. fault current limiter
50. fault detection
51. fault detection and diagnoses
52. fault diagnostic
53. fault diagnostic resolution
54. fault diagnostics
55. fault dignosis
56. fault effects
57. fault emulation
58. fault equivalence and dominance
59. fault handling
60. fault handling strategy
61. fault indicator
62. fault injection
63. Fault Injection Simulation
64. fault Interruption
65. fault localization
66. fault management
67. fault masking
68. fault modeling
69. fault models
70. fault monitoring
71. fault prediction
72. fault protection
73. fault redundancy
74. fault resilience
75. fault ride through
76. Fault ride through enhancement
77. fault signal
78. fault simulastion
79. fault simulation
80. fault simulation with critical path tracing
81. fault tolerance
82. fault tolerant
83. fault tolerant control
84. fault tolerant operation
85. fault tolerant router design
86. fault tolerant systems
87. Fault Tree Analysis
88. fault-injection attack
89. fault-plane solution
90. fault-resilience
91. fault-resistant
92. fault-ride-through (FRT)
93. fault-tolerance
94. fault-tolerant
95. Fault-tolerant (FT) converters
96. fault-tolerant control
97. fault-tolerant converter
98. finite state machine
99. Finite State Machine - FSM
100. functional fault model
101. graph machine learning
102. hierarchical finite state machine
103. high-level control fault model
104. high-level fault coverage
105. high-level fault model
106. high-level fault simulation
107. high-level functional fault model
108. human machine interaction
109. human machine systems
110. human-machine interaction
111. human-machine interface
112. human-machine system
113. induction machine
114. interior permanent magnet machine
115. interior permanent-magnet synchronous machine (IPMSM)
116. interpretable machine learning
117. Katun fault
118. low-level fault redundancy
119. machine bearings
120. machine condition monitoring
121. machine control
122. machine design
123. machine elements
124. machine error
125. machine housing
126. machine learning
127. machine learning (ML)
128. machine learning algorithms
129. machine learning approach
130. Machine Learning Explainable model
131. machine learning for environmental applications
132. machine learning models
133. machine learning systems
134. machine tools
135. machine vector control
136. machine windings
137. machine vision
138. machine-checked proofs
139. machine-learning
140. machine-learning predictive model
141. machine-translation
142. man-machine systems
143. massive machine-type communication (mMTC)
144. massive machine-type communications (mMTC)
145. massive Machine-Type connections (mMTC)
146. multi-class support vector machine (m-SVM)
147. multi-machine
148. multi-machine industrial power plant
149. multi-machine power system
150. multi-stream interaction machine
151. no fault found
152. No-Fault-Found
153. open circuit fault
154. outer-rotor machine
155. parallel fault-simulation
156. Parkinson’s disease machine learning
157. permanent magnet (PM) synchronous machine
158. permanent magnet flux-switching machine
159. permanent magnet machine
160. permanent magnet synchronous machine (PMSM)
161. robust machine learning
162. sewing machine operator
163. short circuit fault
164. small data machine learning
165. state machine
166. stuck-at fault model
167. supervised machine learning
168. support vector machine
169. surface permanent magnet machine (SPM)
170. switched reluctance machine
171. switched reluctance machine (SRM)
172. synchronous machine
173. TBM (tunnel boring machine)
174. totally enclosed fan-cooled machine
175. transient fault mitigation
176. transmission lines fault
177. universal friction machine
178. unsupervised machine learning
179. virtual synchronous machine

1. ELIXIR Machine Learning Focus Group

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