2021
DOI: 10.3389/fenrg.2021.708456
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A Random Forest and Current Fault Texture Feature–Based Method for Current Sensor Fault Diagnosis in Three-Phase PWM VSR

Abstract: Three-phase PWM voltage-source rectifier (VSR) systems have been widely used in various energy conversion systems, where current sensors are the key component for state monitoring and system control. The current sensor faults may bring hidden danger or damage to the whole system; therefore, this paper proposed a random forest (RF) and current fault texture feature–based method for current sensor fault diagnosis in three-phase PWM VSR systems. First, the three-phase alternating currents (ACs) of the three-phase… Show more

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Cited by 6 publications
(3 citation statements)
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“…Although there are various means to improve the reliability of the power electronic converter system, the fault is still difficult to avoid [154,155]. In 2007, the fault rate or outage rate caused by the electrical system (converters, control system, etc.)…”
Section: Monitoring For Power Electronic Convertersmentioning
confidence: 99%
“…Although there are various means to improve the reliability of the power electronic converter system, the fault is still difficult to avoid [154,155]. In 2007, the fault rate or outage rate caused by the electrical system (converters, control system, etc.)…”
Section: Monitoring For Power Electronic Convertersmentioning
confidence: 99%
“…A method of power distribution network multi-source heterogeneous data standardized processing based on the Box-Cox transformation Z-score is proposed in this study. Because Z-score data standardization assumes that the multisource heterogeneous data factor obeys the law of normal distribution, the time-series data of skewness and kurtosis makes data processing in the process of the influence of certain factor scores small or large (Khond, 2020;Kou et al, 2021). The Box-Cox transformation, as a generalized power transformation method, can effectively handle the case where the continuous response variables do not satisfy the normal distribution.…”
Section: Power Distribution Internet Of Things Multi-source Data Stan...mentioning
confidence: 99%
“…By monitoring the real-time operation data of the equipment, the FD technology can analyze some relevant features and diagnosis the future operation status of the equipment with a certain probability. [6][7][8] At the same time, it can also get the development trend of the fault status, to make adequate preparations and ensure the smooth operation of wind farms. 9,10 By this way, some catastrophic faults (as shown in Figure 1) can be avoided.…”
Section: Introductionmentioning
confidence: 99%