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Research on verification of the MLP network-based current sensor fault classifier for various vector-controlled AC motor drives.

Version 1.0

Orłowska-Kowalska, Teresa; Teler, Krystian; Skowron, Maciej, 2025, "Research on verification of the MLP network-based current sensor fault classifier for various vector-controlled AC motor drives.", https://doi.org/10.18150/O3RKS8, RepOD, V1

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Description

The research focused on classifying fault types in stator current sensors in a field-oriented control (FOC) structure for drive systems with permanent magnet motors (PMSM) and induction motors. A unique method for extracting fault symptoms from the stator current signal of AC motors (induction and PMSM) was developed, allowing the use of a small multilayer perceptron network architecture as a classifier. The proposed solution was validated through simulations in the MATLAB/Simulink environment and on laboratory benches.

Uploaded data contain respectively:

Data_1

The file "sim_data.m" contains the results of stator current sensor fault classifier simulation tests conducted for a PMSM motor drive. The following fault classes were considered:

                             OC - complete loss of signal (open circuit),

                             G - change of gain,

                             OFF - appearance of a constant component (offset),

                             SAT - saturation of the signal.

              

              The file "sim_data.m" contains an array of "s" structures. Each structure in this array corresponds to a different value of load torque. This value can be checked in the field named "load_torque". The other fields are as follows:

              t - simulation time

              CSFCA, CSFCB - results of fault classification of currents in phase A and B

              isA, isB - measured currents

              isA_VCS, isB_VCS - estimated currents

              zero_cross_timesA, zero_cross_timesB - times at which the passage of current through zero occurs

              wm_ref - speed set in the control structure              

              File "confusion_matrix.m" calculates confusion matrix for data from file "sim_data.m"

 Data_2

Experimental results of fault classification of induction motor current sensors. The following classes of faults were considered: OC - open circuit,                     G - gain, OFF - offset, SAT - saturation.

              The signals in the files are as follows:

                             CSFCA, CSFCB - results of fault classification of currents in phase A and B

                             CSFCA_without_NF, CSFCB_without_NF - results of fault classification of currents in phase A and B with NF class omitted

                             CSFCA_plot, CSFCB_plot - classification data used for graphs

                             isA, isB - measured currents

                             isA_VCS, isB_VCS - estimated currents

                             zero_cross_timesA, zero_cross_timesB - moments at which the passage of current through zero occurs


(2025-10-07)
Subject
Engineering
Keyword

current sensor faults, fault classification, induction motor drive, PMSM drive, multilayer perceptron, fault-tolerant control

Related Publication

Teler K., Orlowska-Kowalska T., Skowron M., Verification of the MLP network-based current sensor fault classifier for various vector-controlled AC motor drives, Bulletin of the Polish Academy of Sciences. Technical Sciences, vol. 72(6), 2024, art. E150336, pp. 1-15; doi: 10.24425/bpasts.2024.150336 https://journals.pan.pl/dlibra/publication/150336/edition/131303/content/bulletin-of-the-polish-academy-of-sciences-technical-sciences-2024-72-6-verification-of-mlp-network-based-current-sensor-fault-classifier-for-vector-controlled-ac-motor-drives-br-teler-krystian-orcid-0000-0001-5790-6856-skowron-maciej-orcid-0000-0002-0488-8567-orlowska-kowalska-teresa-orcid-0000-0002-4592-5336?language=pl doi: 10.24425/bpasts.2024.150336

CC BY - Creative Commons Attribution 4.0 CC BY - Creative Commons Attribution 4.0

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BPASTS_2024_72_6_e150336.pdf
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SENE_2023_KT+TOK.pdf
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Data_1.zip
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MD5: 8ed2d6764fefe38a0bbfddf34aac7279
License: CC BY - Creative Commons Attribution 4.0
The file "sim_data.m" contains the results of stator current sensor fault classifier simulation tests conducted for a PMSM motor drive.
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Data_2.zip
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MD5: 126722e2d26c5af371af7c1a256297f0
License: CC BY - Creative Commons Attribution 4.0
Experimental results of fault classification of induction motor current sensors. The following classes of faults were considered: OC - open circuit, G - gain, OFF - offset, SAT - saturation.
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