Drive Integrated Start-Up and Online ITSC Fault Monitoring Through Spatial Inductance Profiling

Baruti, Kudra H.; Gurusamy, Vigneshwaran; Li, Chen; Erturk, Feyzullah; Akin, Bilal

doi:10.1109/tte.2021.3109139

Cited by 8 publications

(3 citation statements)

References 30 publications

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“…Measuring the distance, that is, detecting the maximum r of the RFID reader disconnection signal, is an important task [21]. e power received from the source at the distance reader R is calculated using the Friis equation.…”

Section: Communication Distance Estimationmentioning

confidence: 99%

On-Line Temperature Monitoring System of Electrical Equipment Based on Passive Wireless Sensor

Zhu

Yang

et al. 2022

Journal of Control Science and Engineering

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In order to solve the temperature measurement problem of fully enclosed equipment for power equipment operation inspection, the authors propose an online temperature monitoring system for electrical equipment based on passive wireless sensors. Aiming at the disadvantages of traditional temperature monitoring methods, the system adopts radio frequency technology. The scheme mainly expounds the key technologies and switchgear implementation in the monitoring system research and discusses the feasibility of the system scheme through experiments. Monitor all important components at different times, and establish a temperature monitoring network to complete monitoring and management. According to the test results, in the case of overheating, the temperature can rise to more than 75°C, and the temperature difference measured wirelessly is 0.5°C, which is sufficient to indicate the health of the change. Electrical equipment, the accuracy, and real-time performance of temperature monitoring are guaranteed.

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Section: Communication Distance Estimationmentioning

confidence: 99%

On-Line Temperature Monitoring System of Electrical Equipment Based on Passive Wireless Sensor

Zhu

Yang

et al. 2022

Journal of Control Science and Engineering

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“…1 , during the operation of the sorting device, faults such as partial burn through, un-smooth slag discharge and coking often occur. According to the fault status data, this paper selects the corresponding data signal as the fault modeling variable of the sorting device [ 18 ], including sorting capacity under normal and fault operating conditions, low waste calorific value, main and secondary combustion chamber furnace temperature, air distribution, main combustion chamber negative pressure, discharge speed, grate speed, and excess air coefficient. The sorting data under normal operation status is selected as the original data signal.…”

Section: Design Of Fault Monitoring Methods For Domestic Waste Incine...mentioning

confidence: 99%

Fault monitoring method of domestic waste incineration slag sorting device based on back propagation neural network

Xu,

Huan,

Lin

2024

Heliyon

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“…In [21], an inductance and initial position are estimated through a spatial inductance mapping algorithm using the HF injection method. In [22], an inductance is estimated using the HF injection method. Interturn shortcircuit fault detection is performed using the estimated inductance.…”

Section: Introductionmentioning

confidence: 99%

Electrical Parameter Estimation Method for Surface-Mounted Permanent Magnet Synchronous Motors Considering Voltage Source Inverter Nonlinearity

et al. 2023

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This paper proposes an electrical parameter estimation method for permanent magnet synchronous motors (PMSMs) considering the voltage source inverter (VSI) nonlinearity. Accurate parameters are essential for high-performance control of PMSMs. Therefore, numerous studies have been conducted to obtain accurate parameters. However, the VSI nonlinearity causes voltage distortion, which causes parameter-estimation errors. To address this problem, this paper presents a solution using the double-frequency double-amplitude (DFDA) injection method based on the high-frequency (HF) injection method. The proposed method is a practical and novel method using simple mathematical calculations that takes into account VSI nonlinearity without using nonlinearity-compensation methods. It increases the accuracy and reduces the resistance-estimation step by simultaneously estimating the stator resistance and inductance. To demonstrate the efficacy and practicability of the proposed method, it was experimentally verified on a 400 W surface-mounted PMSM. The proposed method can simultaneously estimate the stator resistance and inductance with high accuracy within a short time and can, therefore, be applied to PMSM drives in various industries, such as robotics.INDEX TERMS Dead time, parameter estimation, permanent magnet synchronous motor, selfcommissioning, voltage source inverter nonlinearity.

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Drive Integrated Start-Up and Online ITSC Fault Monitoring Through Spatial Inductance Profiling

Cited by 8 publications

References 30 publications

On-Line Temperature Monitoring System of Electrical Equipment Based on Passive Wireless Sensor

On-Line Temperature Monitoring System of Electrical Equipment Based on Passive Wireless Sensor

Fault monitoring method of domestic waste incineration slag sorting device based on back propagation neural network

Electrical Parameter Estimation Method for Surface-Mounted Permanent Magnet Synchronous Motors Considering Voltage Source Inverter Nonlinearity

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