Induction Motor Diagnostic System Based on Electrical Detection Method and Fuzzy Algorithm

Abstract In this paper a simple diagnostic system for a single IGBT open-circuit faults for a two level voltage inverter-fed field oriented controlled induction motor drive was presented. A fault diagnostic procedure is carried out by utilizing an analysis of a stator current vector trajectory in α-β coordinates. An extraction of the failure information is based on monitoring of an angle between the stator current space vector and the axis. Thanks to a diagnostic signal normalization, high robustness to false diagnosis alarms is guaranteed. To confirm the proposed method, simulation results under a wide range working condition of the induction motor drive were presented.

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Model- and Information Theory-Based Diagnostic Method for Induction Motors

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.2232682 ◽

2005 ◽

Vol 128 (3) ◽

pp. 584-591 ◽

Cited By ~ 8

Author(s):

Sanghoon Lee ◽

Michael D. Bryant ◽

Lalit Karlapalem

Keyword(s):

Information Theory ◽

Induction Motor ◽

Channel Capacity ◽

Diagnostic System ◽

Functional Health ◽

State Equations ◽

Two Phase ◽

Squirrel Cage ◽

Three Phase ◽

Cage Induction Motor

Introduced is a model-based diagnostic system for motors, that also employs concepts of information theory as a health metric. From an existing bond graph of a squirrel cage induction motor, state equations were extracted and simulations performed. Simulated were various cases, including the response of an ideal motor, which functions perfectly to designer’s specifications, and motors with shorted stator coils, a bad phase capacitor, and broken rotor bars. By constructing an analogy between the motor and a communication channel, Shannon’s theorems of information theory were applied to assess functional health. The principal health metric is the channel capacity, which is based on integrals of signal-to-noise ratios. The channel capacity monotonically reduces with degradation of the system, and appears to be an effective discriminator of motor health and sickness. The method was tested via simulations of a three-phase motor; and for experimental verification, a two-phase induction motor was modeled and tested. The method was able to predict impending functional failure, significantly in advance.

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The study of a periodic signal energy flow between adjacent frequency bandwidths in a diagnostic system of an induction motor

2017 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF) Book of Abstracts ◽

10.1109/isef.2017.8090762 ◽

2017 ◽

Author(s):

Mieczyslaw Zajac ◽

Maciej Sulowicz

Keyword(s):

Induction Motor ◽

Energy Flow ◽

Diagnostic System ◽

Periodic Signal ◽

Signal Energy

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Precise detection of the size of monodisperse droplets considering the fluctuations induced by the droplet generation process

10.21203/rs.3.rs-626018/v1 ◽

2021 ◽

Author(s):

Wen Zeng ◽

Hai Fu

Keyword(s):

Droplet Size ◽

Detection Method ◽

Droplet Microfluidics ◽

Generation Process ◽

Time Varying ◽

Electrical Detection ◽

Flow Focusing ◽

Wide Range ◽

Droplet Production ◽

Monodisperse Droplets

Abstract For droplet microfluidics, the electrical-detection method which can precisely detect the size of monodisperse droplets is demonstrated in this paper. In a Flow-focusing microdroplet generator, three pairs of the microelectrodes are allocated along the microchannel, and during the passing-by process of each droplet, both the length, the velocity and the production speed of the droplets can be obtained from the experimental measurements of the time-varying capacitance between each pair of the microelectrodes. Particularly, for different geometries of the Flow-focusing microchannel, the method of the electrical-detection is validated experimentally over a wide range of the typical conditions of monodisperse droplet production. In addition, the droplet size measured by the electrical-detection method is compared with that by the method of image processing, and the detection precision of the electrical-detection method is verified experimentally. Most importantly, by calculating the root-mean-square value of the droplet lengths for three pairs of the microelectrodes, the detection precision of the droplet size can be increased drastically.

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Modern understanding about the role of group A β -hemolytic streptococcus in acute tonsillitis

Journal Infectology ◽

10.22625/2072-6732-2021-13-4-66-71 ◽

2021 ◽

Vol 13 (4) ◽

pp. 66-71

Author(s):

N. T. Mirzoev ◽

S. N. Sidorchuk ◽

Yu. I. Bulan’kov ◽

K. V. Kas’janenko

Keyword(s):

Predictive Value ◽

Bacterial Culture ◽

Detection Method ◽

Throat Swab ◽

Diagnostic System ◽

Antigen Detection ◽

Acute Tonsillitis ◽

Hemolytic Streptococcus ◽

Streptococcal Antigen ◽

Group A

Objective: assess the modern value of group А β-hemolytic streptococcus in patients with acute tonsillitis and the effectiveness of the rapid streptococcal antigen detection method.Materials and methods: microbial landscape assessment of acute tonsillitis was based on retrospective analysis of 902 bacterial culture results of a throat swab of patients with syndromes of acute tonsillitis treated in the Infectious Diseases Clinic of the Military Medical Academy named after S.M. Kirov during the period of 2019-2020. The effectiveness of the rapid streptococcal antigen detection method in the oropharynx was determined by a prospective study involving 35 patients with acute tonsillitis.Results: in the study, we have found that bacterial culture results of a throat swab, the following were more common: Nesseria species (39 %), Streptococcus viridans (23 %), and Staphylococcus aureus (17 %). The frequency of detection of β-hemolytic streptococcus was 1 %. The rapid diagnostic system «Streptatest» in patients with acute tonsillitis has demonstrated efficiency, under which that sensitivity of test was 80 %, specificity – 90 %, positive predictive value – 57,14 %, negative predictive value – 96,43 %.Conclusions: the frequency of group A β-hemolytic streptococcus in patients with lesion of lymphoid tissues of the oropharynx has declined significantly nowadays. The rapid diagnostic system «Streptatest» is a highly effective medical product that can be used in both hospital and pre-hospital stage.

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Open-Phase Fault Detection Method for Sensorless Five-Phase Induction Motor Drives with an Inverter Output Filter

Power Electronics and Drives ◽

10.2478/pead-2019-0004 ◽

2019 ◽

Vol 4 (1) ◽

pp. 191-202 ◽

Cited By ~ 2

Author(s):

Patryk Strankowski ◽

Jarosław Guziński ◽

Filip Wilczyński ◽

Marcin Morawiec ◽

Arkadiusz Lewicki

Keyword(s):

Fault Detection ◽

Induction Motor ◽

Detection Method ◽

Motor Drives ◽

Induction Motor Drives ◽

Third Harmonic ◽

Open Phase ◽

System A ◽

Two Phases ◽

Output Filter

Abstract The paper presents the sensorless five-phase induction motor drive implementation with an inverter output filter with third harmonic injection. For the sensorless operation, the required observers are presented for the first and third harmonics with consideration of the inverter output filter. Moreover, the interaction of the observers and the control system is capable to handle a deactivation of one or two phases, which improves the reliability of the complete drive system. A new idea of online open-phase fault detection is presented based on the frequency analysis of the estimated observer variables. The test setup, fault operation capabilities and an experimental verification of the proposed fault detection method are presented in the paper.

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