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Titlebook: Induction Motor Fault Diagnosis; Approach through Cur Subrata Karmakar,Surajit Chattopadhyay,Samarjit Se Book 2016 Springer Science+Busines

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21#
發(fā)表于 2025-3-25 03:44:54 | 只看該作者
22#
發(fā)表于 2025-3-25 11:01:33 | 只看該作者
Subrata Karmakar,Surajit Chattopadhyay,Madhuchhanda Mitra,Samarjit Senguptailure processes and the independent phase-type distributed repair times and the Kronecker-product structures of their associated parameter matrices. Then we show that the steady-state distribution of the restoration model can be effectively calculated by a semiconvergent iterative aggregation-disagg
23#
發(fā)表于 2025-3-25 13:11:15 | 只看該作者
24#
發(fā)表于 2025-3-25 16:27:01 | 只看該作者
Subrata Karmakar,Surajit Chattopadhyay,Madhuchhanda Mitra,Samarjit Senguptaludes multi-building and multi floor signal information while different from this RFKON includes a single-building single floor signal information. N-Nearest Neighbors (N3) and Binned Nearest Neighbors (BNN) algorithms are presented comparatively with respect to success of finding user position.
25#
發(fā)表于 2025-3-25 20:23:25 | 只看該作者
Subrata Karmakar,Surajit Chattopadhyay,Madhuchhanda Mitra,Samarjit Senguptaor detailed analysis of the system. Thus, the case study was used to improve the simulation method in order to more accurately model data transmissions over the network. After modifications were implemented in the simulation tool, significantly better results have been received, as discussed in the
26#
發(fā)表于 2025-3-26 00:33:07 | 只看該作者
ludes multi-building and multi floor signal information while different from this RFKON includes a single-building single floor signal information. N-Nearest Neighbors (N3) and Binned Nearest Neighbors (BNN) algorithms are presented comparatively with respect to success of finding user position.
27#
發(fā)表于 2025-3-26 05:39:44 | 只看該作者
Broken Rotor Bar, broken bar has been assessed using Hilbert and wavelet transforms. The main contribution in this chapter is the application of new fault diagnostic concept based on radar assessment and envelope analysis to extract low-frequency oscillation using Hilbert and wavelet transforms.
28#
發(fā)表于 2025-3-26 11:28:53 | 只看該作者
29#
發(fā)表于 2025-3-26 14:10:56 | 只看該作者
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發(fā)表于 2025-3-26 17:36:29 | 只看該作者
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