The paper proposes a mathematical model of a three-phase induction motor with an asymmetrical twelve-zone winding of stator with parallel connection of subwindings. The mathematical model was developed using the theor...
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Herein, we have confirmed the importance of formulating product proposals and product-development processes equipped to cope effectively with uncertainty in the early design stage. The objective of this study was to d...
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This paper illustrates the use of two distinct control strategies. Namely, the Sliding Mode control (SMC) and a Linear Quadratic Regulator (LQR) controller to monitor and handle the suspension system vibrations that o...
This paper illustrates the use of two distinct control strategies. Namely, the Sliding Mode control (SMC) and a Linear Quadratic Regulator (LQR) controller to monitor and handle the suspension system vibrations that occurred. We used a half car suspension model with (4DOF). The necessary suspension performance attributes, such as ride comfort, suspension deflection and car handling require a comprehensive controlsystem. Three components make up this controlsystem, which is carried out using the MATLAB application: the controller, the suspension system model, and input signals (road profile and actuator force). A comparison of the half car active suspension system LQR and SMC controllers as well as the uncontrolled suspension system is presented.
This paper is a continuation of our previous studies on the implementation of a mobile platform based on computer vision and Raspberry Pi hardware, precise indoor navigation. Thus, we implemented a prototype version o...
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Fault location in distribution systems includes 2 subtasks: fault distance estimation and fault section identification. This paper presents a fault location method based on reclosure-generating traveling waves and sys...
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In this paper, the implementation of a cybernetic learning model based on differential equations of fractional order is justified. Experimental learning results were obtained by testing students during the academic se...
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Cardiorespiratory interaction is related to the heart rate variability (HRV) synchronized with respiration. These metrics help to comprehend the autonomic nervous system (ANS) functionality in cardiovascular mechanism...
Cardiorespiratory interaction is related to the heart rate variability (HRV) synchronized with respiration. These metrics help to comprehend the autonomic nervous system (ANS) functionality in cardiovascular mechanisms. In this work, we aim to study the HRV in healthy subjects aged 18-24 years during the breathing techniques based on deep breaths followed by apnoeas, developed by Wim Hof (WHM). The attributes of all participates have been treated as a group and therefore, separated by gender. A total of 11 intervals have been distinguished: starting of basal respiration (SRI = 1), controlled deep breaths (CDB = 3), long expiratory apnoea (LEA = 3), short inspiratory apnoea (SIA = 3) and ending with basal respiration again (FRI = 1). To strengthen the HRV knowledge extraction from these scenarios, time and frequency analysis is conducted. In general, breathing and apnoea intervals presented significant statistically differences (p < 0.05), heart rate (HR) mean between SRI and FRI (p < 0.001), RR variability of LEA intervals (p < 0.01), root mean square of RR intervals during CDB (p < 0.05), maximum high frequency (HF) peak amplitude between SRI and FRI (p = 0.016), and low frequency (LF) area for LEA intervals (p < 0.001). When performing the frequency analysis, it has been observed that the sympathetic nervous system (SNS) has a higher contribution in the apnoea intervals. In conclusion, the WHM method implementation seems to involve a decrease in the HR. Specific breathing techniques could help to control the body in different *** Relevance— The WHM seems to imply a decrease on HR. Furthermore, after the implementation of the WHM, women presented higher HRV.
In recent years, the design of anomaly detectors has attracted a tremendous surge of interest due to security issues in industrial controlsystems (ICS). Restricted by hardware resources, most anomaly detectors can on...
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In recent years, the design of anomaly detectors has attracted a tremendous surge of interest due to security issues in industrial controlsystems (ICS). Restricted by hardware resources, most anomaly detectors can only be deployed at the remote monitoring ends, far away from the control sites, which brings potential threats to anomaly detection. In this paper, we propose an active real-time anomaly detection framework deployed in the controller of OpenPLC, which is a standardized open-source PLC and has high scalability. Specifically, we add adaptive active noises to control signals, and then identify a linear dynamic system model of the plant offline and implement it in the controller. Finally, we design two filters to process the estimated residuals based on the obtained model and use χ 2 detector for anomaly detection. Extensive experiments are conducted on an industrial control virtual platform to show the effectiveness of the proposed detection framework.
The controller design for a high-order object prone to oscillations under sufficient of interest in automation and robotics is being solved. For the first time, the square root in the error growth detector used as a c...
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When deep learning is applied to motor fault diagnosis, the Generative Adversarial Network (GAN) algorithm is used to compensate for the insufficient number of data. However, the model's performance includes not o...
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