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Paper Citation Record · LEDGER

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features

As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.23097.

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pith.paper-citation-record.v1
2505.23097 v1

Coverage vector

measured 31 of 31 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 930a41d4-693e-4bc5-9559-ae5a744acc0e · outbound

This paper cites A survey on fault diagnosis and fault tolerant methodologies for permanent magnet synchronous machines,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features A survey on fault diagnosis and fault tolerant methodologies for permanent magnet synchronous machines,

Reference 1

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Observation 555190e4-e055-44f3-a74b-83ee5add7732 · outbound

This paper cites Motor fault diagnostics based on current signatures: A review,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Motor fault diagnostics based on current signatures: A review,

Reference 2

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Observation d4be2dbb-fec3-4100-88e8-bf57c37883ba · outbound

This paper cites Automatic demagnetization fault location of direct-drive permanent magnet synchronous motor using knowledge graph,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Automatic demagnetization fault location of direct-drive permanent magnet synchronous motor using knowledge graph,

Reference 3

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Observation ef11cdab-c14f-4156-9c99-2284e8394efe · outbound

This paper cites Diagnostic of combined mechanical and electrical faults in asd-powered induction motor using modwt and a lightweight 1-d cnn,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Diagnostic of combined mechanical and electrical faults in asd-powered induction motor using modwt and a lightweight 1-d cnn,

Reference 4

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Observation 5d8b3e17-0280-4cea-a78b-a994af08255e · outbound

This paper cites One- dimensional lstm-regulated deep residual network for data-driven fault detection in electric machines,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features One- dimensional lstm-regulated deep residual network for data-driven fault detection in electric machines,

Reference 5

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Observation 66b39abe-a5b1-45e8-bcf2-634d9bd27844 · outbound

This paper cites Data-driven early fault diagnostic methodology of permanent magnet synchronous motor,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Data-driven early fault diagnostic methodology of permanent magnet synchronous motor,

Reference 6

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Observation ac10dbdf-3e06-4cd5-9746-57cbbb1af4be · outbound

This paper cites Dnocnet: A novel end-to-end network for induction motor drive systems fault diagnosis under speed fluctuation condition,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Dnocnet: A novel end-to-end network for induction motor drive systems fault diagnosis under speed fluctuation condition,

Reference 7

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Source-reported events for the cited work

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Observation 47085a4c-7a2f-49de-a8de-320914f516bc · outbound

This paper cites Fault diagnosis in a permanent magnet syn- chronous motor using deep learning,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Fault diagnosis in a permanent magnet syn- chronous motor using deep learning,

Reference 8

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Source-reported events for the cited work

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Observation 807ca7b2-fbce-493e-a701-4b8983372274 · outbound

This paper cites Custom phase space reconstruction image-driven fault diagnosis for pmsm under few-labeled samples,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Custom phase space reconstruction image-driven fault diagnosis for pmsm under few-labeled samples,

Reference 9

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Observation e9196c62-37e8-41ce-b24c-e16b490826c7 · outbound

This paper cites Auto-encoding variational bayes,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Auto-encoding variational bayes,

Reference 10

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Source-reported events for the cited work

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Observation d9d47ebc-fc84-42eb-865c-afbb845b28ad · outbound

This paper cites Demagnetization fault diagnosis of permanent magnet synchronous motors using magnetic leakage signals,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Demagnetization fault diagnosis of permanent magnet synchronous motors using magnetic leakage signals,

Reference 11

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Source-reported events for the cited work

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Observation 515d18c0-df2b-4c90-abb4-2cd2bedc206b · outbound

This paper cites A comprehensive inter- turn fault severity diagnosis method for permanent magnet synchronous motors based on transformer neural networks,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features A comprehensive inter- turn fault severity diagnosis method for permanent magnet synchronous motors based on transformer neural networks,

Reference 12

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Source-reported events for the cited work

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Observation eb5044a8-c12a-41b6-84d9-537a301f70b0 · outbound

This paper cites Deep residual learning for image recognition,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Deep residual learning for image recognition,

Reference 13

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Observation 9b7c3a33-57eb-4f1f-9647-b31afcf4a6a3 · outbound

This paper cites Learning strict identity mappings in deep residual networks,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Learning strict identity mappings in deep residual networks,

Reference 14

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Observation 49ab7711-c0b7-4851-8310-6318d5314c54 · outbound

This paper cites On Residual Networks Learning a Perturbation from Identity.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features On Residual Networks Learning a Perturbation from Identity

Reference 15

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Observation cf2f9d5c-7b87-4457-aea2-9dd46795daf1 · outbound

This paper cites Stochastic Training of Residual Networks: a Differential Equation Viewpoint.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Stochastic Training of Residual Networks: a Differential Equation Viewpoint

Reference 16

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Observation c10592cb-eb41-4c27-a5d2-73538053b470 · outbound

This paper cites Do residual neural networks discretize neural ordinary differential equations?.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Do residual neural networks discretize neural ordinary differential equations?

Reference 17

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Observation 35e489d9-d855-45d3-8664-0509bf5ba2f3 · outbound

This paper cites Generalization bounds for neural ordinary differential equations and deep residual networks,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Generalization bounds for neural ordinary differential equations and deep residual networks,

Reference 18

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Source-reported events for the cited work

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Observation 21e02e1d-f581-42f2-96a5-b1eefbf0d15b · outbound

This paper cites High Frequency Residual Learning for Multi-Scale Image Classification.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features High Frequency Residual Learning for Multi-Scale Image Classification

Reference 19

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Source-reported events for the cited work

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Observation c119b24b-8cac-4bed-b8af-f2015807b781 · outbound

This paper cites Residual frequency content awareness approach for image super resolution,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Residual frequency content awareness approach for image super resolution,

Reference 20

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Observation f15212df-7b6e-4b21-9413-df991463ba08 · outbound

This paper cites Hfgn: High- frequency residual feature guided network for fast mri reconstruction,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Hfgn: High- frequency residual feature guided network for fast mri reconstruction,

Reference 21

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Source-reported events for the cited work

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Observation 815909ea-4aad-4cf5-88f4-4160d794063a · outbound

This paper cites The potentiality of integrating model-based residuals and machine-learning classifiers: An induction motor fault diagnosis case,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features The potentiality of integrating model-based residuals and machine-learning classifiers: An induction motor fault diagnosis case,

Reference 22

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Source-reported events for the cited work

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Observation 1aacf563-a6bc-4080-87d3-fb428d30d731 · outbound

This paper cites An efficient approach based on a novel 1d-lbp for the detection of bearing failures with a hybrid deep learning method,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features An efficient approach based on a novel 1d-lbp for the detection of bearing failures with a hybrid deep learning method,

Reference 23

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Source-reported events for the cited work

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Observation ce02602a-d2d9-4cec-a071-db15e964a887 · outbound

This paper cites Amplitude-phase recombination: Rethinking robustness of convolutional neural networks in frequency domain,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Amplitude-phase recombination: Rethinking robustness of convolutional neural networks in frequency domain,

Reference 24

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Source-reported events for the cited work

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Observation a7c64848-782d-4c39-9d40-f32b5b8b416c · outbound

This paper cites Shift-invariant pattern recognition neural network and its optical architecture,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Shift-invariant pattern recognition neural network and its optical architecture,

Reference 25

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Source-reported events for the cited work

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Observation e94d8ca3-ff2f-451e-99f8-9983d75d2df2 · outbound

This paper cites G ´eron,Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features G ´eron,Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d8311d20-f346-452c-a734-8bb1e67f657e · outbound

This paper cites Understand- ing batch normalization,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Understand- ing batch normalization,

Reference 27

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2e03cb8b-d4b9-431e-b191-eea8a7e6b3f6 · outbound

This paper cites Multiscale kernel based residual convolutional neural network for motor fault diagnosis under nonstationary conditions,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Multiscale kernel based residual convolutional neural network for motor fault diagnosis under nonstationary conditions,

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3698b53b-3d03-4d3f-92f3-f48804b0cec1 · outbound

This paper cites Fault diagnosis of asynchronous motors based on 2dcnn-gru network optimization,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Fault diagnosis of asynchronous motors based on 2dcnn-gru network optimization,

Reference 29

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 810ab956-e4e3-4180-aed0-3c3de06a3e5b · outbound

This paper cites A public data-set for synchronous motor electrical faults diagnosis with cnn and lstm reference classifiers,.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features A public data-set for synchronous motor electrical faults diagnosis with cnn and lstm reference classifiers,

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5ace5d77-e967-4843-a33d-1523a8ee68b2 · outbound

This paper cites Auto-Encoding Variational Bayes.

Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features Auto-Encoding Variational Bayes

Reference 2022

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Source-reported events for the cited work

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