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Relevant bibliographies by topics / AI-motor

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Journal articles

Academic literature on the topic 'AI-motor'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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Journal articles on the topic "AI-motor"

1

Irawan, Denny, and Pressa Perdana SS. "Kontrol Motor Brushless DC (BLDC) Berbasis Algoritma AI - PID." Jurnal Teknik Elektro dan Komputasi (ELKOM) 2, no. 1 (2020): 41–48. http://dx.doi.org/10.32528/elkom.v2i1.3146.

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Popularitas motor DC brushless (BLDC) semakin meningkat karena memiliki kepadatan energi yang tinggi, biaya pembuatan bahan magnet permanen seperti Samarium Cobalt (Sm-Co) dan Nd-Fe-B yang semakin murah dan kemajuan dalam desain inovasi semakin efisien [7]. Kelebihan motor BLDC yang memberikan respons lebih cepat, membutuhkan pengontrol untuk pengaturan kecepatan yang cepat dan akurat. Kontroler PID yang telah banyak digunakan dalam peralatan kontrol industri dapat diandalkan dengan menyetel oleh algoritma AI untuk menentukan Kp, Ki dan Kd. Dalam penelitian ini, motor BLDC akan dikontrol kecep

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2

Vovk, M., and O. Kutsiak. "AI-Technology of Motor Functions Diagnostics after a Stroke." Kibernetika i vyčislitelʹnaâ tehnika 2021, no. 2(204) (2021): 84–100. http://dx.doi.org/10.15407/kvt204.02.084.

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3

Romanova, Victoria, and Sergey Khromov. "Effect of asymmetry of supply voltages on asynchronous motor operation modes." E3S Web of Conferences 58 (2018): 03013. http://dx.doi.org/10.1051/e3sconf/20185803013.

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Effect of asymmetry of supply voltages on asynchronous motor operation modes was investigated using the computer-aided simulation experiments, the software complex Matlab and the package program Simulink. Publication relevance is determined by the necessity for performance of comparative analysis of the level of effect of asymmetry of supply voltages on asynchronous motors of different series and power capacities. Six motors of three different power capacities (5.5, 55, 160 kW) and of two different series (4A, AI) were modeled for investigation. The value of asymmetry of supply voltages was ch

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4

Sibley, Krista G., Christine Girges, Ehsan Hoque, and Thomas Foltynie. "Video-Based Analyses of Parkinson’s Disease Severity: A Brief Review." Journal of Parkinson's Disease 11, s1 (2021): S83—S93. http://dx.doi.org/10.3233/jpd-202402.

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Remote and objective assessment of the motor symptoms of Parkinson’s disease is an area of great interest particularly since the COVID-19 crisis emerged. In this paper, we focus on a) the challenges of assessing motor severity via videos and b) the use of emerging video-based Artificial Intelligence (AI)/Machine Learning techniques to quantitate human movement and its potential utility in assessing motor severity in patients with Parkinson’s disease. While we conclude that video-based assessment may be an accessible and useful way of monitoring motor severity of Parkinson’s disease, the potent

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5

Shanthi, L. Jessi Sahaya, R. Arumugam, M. Nilesh Tawri, and S. Prem Kumar. "Comparison of AI Based Position Estimation Techniques for Switched Reluctance Motor." International Journal of Computer Applications 1, no. 26 (2010): 44–50. http://dx.doi.org/10.5120/481-791.

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6

Beno, M. Marsaline, and N. S. Marimuthu. "AI Based Rotor Position Estimation Techniques for Switched Reluctance Motor Drives." i-manager's Journal on Electrical Engineering 1, no. 3 (2008): 58–63. http://dx.doi.org/10.26634/jee.1.3.423.

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7

Filippetti, F., G. Franceschini, C. Tassoni, and P. Vas. "Recent developments of induction motor drives fault diagnosis using AI techniques." IEEE Transactions on Industrial Electronics 47, no. 5 (2000): 994–1004. http://dx.doi.org/10.1109/41.873207.

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8

Liu, Yawu, Jari O. Karonen, Juho Nuutinen, Esko Vanninen, Jyrki T. Kuikka, and Ritva L. Vanninen. "Crossed Cerebellar Diaschisis in Acute Ischemic Stroke: A Study with Serial SPECT and MRI." Journal of Cerebral Blood Flow & Metabolism 27, no. 10 (2007): 1724–32. http://dx.doi.org/10.1038/sj.jcbfm.9600467.

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This study evaluated the relationship between crossed cerebellar diaschisis (CCD) and (1) lesion volume and location in the acute phase and 1 week after stroke onset and (2) clinical outcome. Twenty-two patients with cerebral ischemic stroke underwent single-photon emission computed tomography (SPECT) and magnetic resonance imaging (MRI) within 48 h and on day 8 from onset. Interhemispheric asymmetric indices (AI) on SPECT were calculated for medial, intermediate, and lateral zones of the cerebellum. Lesion volumes and locations were obtained from diffusion-weighted MRI. Neurological status an

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9

Hanumanthakari, Sudheer, S. F. Kodad, and Sarvesh Botlaguduru. "Sensorless Direct Torque Control of Induction Motor Using AI Based Duty Ratio Controllers." International Review on Modelling and Simulations (IREMOS) 9, no. 5 (2016): 339. http://dx.doi.org/10.15866/iremos.v9i5.10034.

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10

Reñones, Anibal, and Marta Galende. "F.A.I.R. open dataset of brushed DC motor faults for testing of AI algorithms." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 9, no. 4 (2020): 83–94. http://dx.doi.org/10.14201/adcaij2020948394.

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Practical research in AI often lacks of available and reliable datasets so the practitioners can try different algorithms. The field of predictive maintenance is particularly challenging in this aspect as many researchers don't have access to full-size industrial equipment or there is not available datasets representing a rich information content in different evolutions of faults. In this paper, it is presented a dataset with evolution of typical faults (commutator, winding and brush wear) in inexpensive DC motors under extensive monitoring (vibration, temperature, voltage, current and noise).

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