A New Fault Diagnosis Algorithm for PMSG Wind Turbine Power Converters under Variable Wind Speed Conditions

Qiu, Yingning; Jiang, Hongxin; Feng, Yuanjing; Cao, Mengnan; Zhao, Yong; Li, Dan

doi:10.3390/en9070548

Cited by 26 publications

(15 citation statements)

References 19 publications

(31 reference statements)

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“…Several authors have studied the faults related to converters and proposed methods to detect and prevent them. For instance, Swain and Ray [65] proposed the analysis of short circuit fault for a DFIG with active crowbar protection; Qiu et al studied open-circuit fault features and proposed a new fault diagnosis algorithm to accurately detect faulted IGBT in the circuit arms of WT converters [66]. De Moura et al [67] proposed a classification of imbalance levels based on the analysis of vibration signal.…”

Section: Ft Dynamic Analysis For Converter Generator Electrical Andmentioning

confidence: 99%

Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines

et al. 2017

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Electrical and electronic components are very important subcomponents in modern industrial wind turbines. Complex multimegawatt wind turbines are continuously being installed both onshore and offshore, continuously increasing the demand for sophisticated electronic and electrical components. In this work, most critical electrical and electronic components in industrial wind turbines have been identified and the applicability of appropriate condition monitoring processes simulated. A fault tree dynamic analysis has been carried out by binary decision diagrams to obtain the system failure probability over time and using different time increments to evaluate the system. This analysis allows critical electrical and electronic components of the converters to be identified in different conditions. The results can be used to develop a scheduled maintenance that improves the decision making and reduces the maintenance costs.

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Section: Ft Dynamic Analysis For Converter Generator Electrical Andmentioning

confidence: 99%

Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines

et al. 2017

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“…However, with the ever 23 increasing use of wind turbines, many challenges have also appeared. In most cases, the wind 24 turbines are installed in remote areas where their maintenance is costly and time-consuming. 25 Therefore, the reliability of Wind Energy Conversion Systems (WECS) is of paramount 26 importance.…”

Section: Introductionmentioning

confidence: 99%

Real-time power switch fault diagnosis and fault-tolerant operation in a DFIG-based wind energy system

2018

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“…A fault detection and the improved fault-tolerant control for an open fault in the five-phase inverter driving system is proposed in [15]. A new fault diagnostic algorithm named the wind speed based normalized current trajectory is proposed and used to accurately detect and locate faulted IGBT in the circuit arms [16]. A very fast and efficient field-programmable gate array (FPGA) based on the open circuit switch fault detection method associated to fault tolerant converter topology in DC-DC converters is proposed in [17].…”

Section: Introductionmentioning

confidence: 99%

A Fast-Acting Diagnostic Algorithm of Insulated Gate Bipolar Transistor Open Circuit Faults for Power Inverters in Electric Vehicles

Zhang

Huang³

et al. 2017

Energies

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Abstract:To improve the diagnostic detection speed in electric vehicles, a novel diagnostic algorithm of insulated gate bipolar transistor (IGBT) open circuit faults for power inverters is proposed in this paper. The average of the difference between the actual three-phase current and referential three-phase current values over one electrical period is used as the diagnostic variable. The normalization method based on the amplitude of the d-q axis referential current is applied to the diagnostic variables to improve the response speed of diagnosis, and to avoid the noise and the delay caused by signal acquisition. In the parameter discretization process, the variable parameter moving average method (VPMAM) is adopted to solve the variation of the average value over a period with the speed of the motor; hence, the diagnostic reliability of the system is improved. This algorithm is robust, independent of load variations, and has a high resistivity against false alarms. Since only the three-phase current of the motor is utilized for calculations in the time domain, a fast diagnostic detection speed can be achieved, which is significantly essential for real-time control in electric vehicles. The effectiveness of the proposed algorithm is verified by both simulation and experimental results.

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A New Fault Diagnosis Algorithm for PMSG Wind Turbine Power Converters under Variable Wind Speed Conditions

Cited by 26 publications

References 19 publications

Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines

Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines

Real-time power switch fault diagnosis and fault-tolerant operation in a DFIG-based wind energy system

A Fast-Acting Diagnostic Algorithm of Insulated Gate Bipolar Transistor Open Circuit Faults for Power Inverters in Electric Vehicles

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