Open Fault Detection and Tolerant Control for a Five Phase Inverter Driving System

Baek, Seung-Koo; Shin, Hye-Ung; Kang, Seong-Yun; Park, Choon-Soo; Lee, Kyo‐Beum

doi:10.3390/en9050355

Cited by 8 publications

(7 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The open-circuit fault detection method for three-level T-type converters proposed in [4] uses the grid current amplitude and phase angle as the recognition parameters. An alternative approach presented in [5] uses irregular variations of neutral-point current, switching states and phase current for fault detection.…”

Section: Traditional Methods Of Fault Detection Analysis Depend More mentioning

confidence: 99%

See 1 more Smart Citation

A Fast and Intelligent Open-Circuit Fault Diagnosis Method for a Five-Level NNPP Converter Based on an Improved Feature Extraction and Selection Model

et al. 2020

View full text Add to dashboard Cite

The open-circuit faults of power semiconductor devices in multilevel converters are generally diagnosed by analyzing circuit signals. For converters with five or more levels, the difficulty of fault detection increases with increasing topological complexity, the number of switching devices and the number of candidate signal parameters. In this paper, a complete solution for open-circuit fault detection for a five-level nested neutral-point piloted (NNPP) converter is proposed based on improved unsupervised feature learning algorithms. Feature engineering and machine learning algorithms are applied for feature extraction and selection and the construction of classification models. Circuit signals are monitored, and their time-domain characteristics are extracted for fault recognition. An unsupervised feature learning selector, which combines a dependence-guided unsupervised feature selection (DGUFS) filter and a random forest feature selection (RFFS) wrapper to automatically select parameters and generate the optimal feature subset for fault detection, is proposed. The random forest (RF) algorithm is used to build a classifier. The experimental results show that the solution framework presented has the advantages of high efficiency, high flexibility, a superior fault recognition rate and good generalization ability. INDEX TERMS Fault diagnosis, feature extraction and selection, filter-wrapper method, DGUFS-RFFS, open-circuit fault, five-level NNPP converter.

show abstract

Section: Traditional Methods Of Fault Detection Analysis Depend More mentioning

confidence: 99%

“…Formula (4) shows that RFs do not cause overfitting problems as the number of decision trees increases but may increase generalization errors within a certain limit.…”

Section: ) Rffs Wrappermentioning

confidence: 99%

A Fast and Intelligent Open-Circuit Fault Diagnosis Method for a Five-Level NNPP Converter Based on an Improved Feature Extraction and Selection Model

et al. 2020

View full text Add to dashboard Cite

show abstract

“…e degrees of freedom available in 5pIM which do not exist in 3pIM have opened up many new research areas, such as different stator winding connection issues [4] or wound-rotor direct drives [5]. e possibility of redundancy in 5pIM has resulted in improvement of faulttolerant capabilities, such as open switch fault detection [6,7], open-phase fault detection and post-fault operation [8,9], or rotor-bar fault analysis [10].…”

Section: Introductionmentioning

confidence: 99%

Current Limitation Method for $V / f$ Control of Five-Phase Induction Machines

Kyslan

Lacko

Ferková

et al. 2022

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

Five-phase induction machines (5pIMs) are a viable alternative for a wide range of industrial applications. The penetration of drives with 5pIM into industrial applications is slow because of the complexity of the proposed control algorithms. In standard V / f control of induction machines, the stator current is not controlled directly and options for current limitation are restricted. This paper hence addresses a novel current limitation technique for the V / f control algorithm of 5pIM. In addition, a simple speed sensorless control algorithm based on the slip compensation is introduced. A combination of both algorithms is suitable for low-cost medium-precision drive applications. Experimental results, realized on Texas Instruments F28335 DSP, illustrating the performance of novel current limitation technique and sensorless control, are included.

show abstract

“…To prevent multiple satisfactory conditions, a less restrictive method is employed to localize the faulty switch. 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].…”

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

View full text Add to dashboard Cite

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.

show abstract

Open Fault Detection and Tolerant Control for a Five Phase Inverter Driving System

Cited by 8 publications

References 27 publications

A Fast and Intelligent Open-Circuit Fault Diagnosis Method for a Five-Level NNPP Converter Based on an Improved Feature Extraction and Selection Model

A Fast and Intelligent Open-Circuit Fault Diagnosis Method for a Five-Level NNPP Converter Based on an Improved Feature Extraction and Selection Model

Current Limitation Method for $V / f$ Control of Five-Phase Induction Machines

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

Contact Info

Product

Resources

About

Open Fault Detection and Tolerant Control for a Five Phase Inverter Driving System

Cited by 8 publications

References 27 publications

A Fast and Intelligent Open-Circuit Fault Diagnosis Method for a Five-Level NNPP Converter Based on an Improved Feature Extraction and Selection Model

A Fast and Intelligent Open-Circuit Fault Diagnosis Method for a Five-Level NNPP Converter Based on an Improved Feature Extraction and Selection Model

Current Limitation Method for V / f Control of Five-Phase Induction Machines

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

Contact Info

Product

Resources

About

Current Limitation Method for $V / f$ Control of Five-Phase Induction Machines