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Fault diagnosis scheme for open-circuit faults in switched reluctance motor drives using fast fourier transform algorithm with bus current detection

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IET POWER ELECTRONICS 2016年第1期9卷 20-30页

作者： Gan, Chun Wu, Jianhua Yang, Shiyou Hu, Yihua Cao, Wenping Si, Jikai Zhejiang Univ Coll Elect Engn Hangzhou 310027 Zhejiang Peoples R China Univ Strathclyde Dept Elect & Elect Engn Glasgow G1 1XW Lanark Scotland Queens Univ Belfast Sch Elect Elect Engn & Comp Sci Belfast BT9 5AH Antrim North Ireland Henan Polytech Univ Sch Elect Engn & Automat Jiaozuo 454003 Peoples R China

Reliability of power converters is of crucial importance in switched reluctance motor drives used for safety-critical applications. Open-circuit faults in power converters will cause the motor to run in unbalanced states, and if left untreated, they will lead to damage to the motor and power modules, and even cause a catastrophic failure of the whole drive system. This study is focused on using a single current sensor to detect open-circuit faults accurately. An asymmetrical half-bridge converter is considered in this study and the faults of single-phase open and two-phase open are analysed. Three different bus positions are defined. On the basis of a fast fourier transform algorithm with Blackman window interpolation, the bus current spectrums before and after open-circuit faults are analysed in details. Their fault characteristics are extracted accurately by the normalisations of the phase fundamental frequency component and double phase fundamental frequency component, and the fault characteristics of the three bus detection schemes are also compared. The open-circuit faults can be located by finding the relationship between the bus current and rotor position. The effectiveness of the proposed diagnosis method is validated by the simulation results and experimental tests.

关键词： fault diagnosis reluctance motor drives fast fourier transforms power convertors electric sensing devices rotors circuit reliability fault diagnosis scheme open-circuit fault detection switched reluctance motor drives fast fourier transform algorithm bus current spectrum detection power converter reliability power modules catastrophic failure single current sensor asymmetrical half-bridge converter single-phase open faults two-phase open faults bus positions blackman window interpolation double phase fundamental frequency component rotor position safety-critical applications unbalanced states

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Precision manufacturing technology and measurements in steel rolling industry using multi threshold fast fourier transform and back propagation algorithm for analysis of X-ray diffractometry 1

Precision manufacturing technology and measurements in steel...

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International Conference and Exposition on Mechanical, Material and Manufacturing Technology (ICE3MT)

作者： Sujatha, K. Ponmagal, R. S. Deepalakshmi, B. Jayachitra, N. Dr MGR Educ & Res Inst EEE Dept Chennai Tamil Nadu India SRM Inst Sci & Technol Dept CSE Chennai Tamil Nadu India Ramco Inst Technol Dept ECE Chennai Tamil Nadu India Dr MGR Educ & Res Inst Dept Chem Engn Chennai Tamil Nadu India

X-ray diffractometry is a unique technique and that the X-ray diffraction patterns which depict the structure of the steel sheets during processing with the features extracted, that they serve directly as a signature which is very complicated. X-ray diffraction (XRD) techniques are a type of non-destructive method of investigation to identify the flaws during the fabrication of steel sheets. X-ray diffraction is comparatively simple and can be effectively used for the examination and identification of flaws during the rolling process of steel sheets. XRD technique finds application in various fields like textile industry, forensic, qualitative and quantitative phase analysis of poly crystalline material, to infer overall properties of the fiber and measure the degree of crystalline nature. It is extensively used to explore areas like material science, chemistry and in industry for research and quality control. This effective method gains novelty by combining the signal processing algorithms like multiple threshold based fast fourier transform (FFT) and Artificial neural network (ANN) trained with Back Propagation algorithm (BPA) thereby offering an automated system for online monitoring during fabrication of flawless metal sheets. The hot rolled steel sheets for three categories namely, flawless, moderate flaw and extreme flaw conditions are obtained from the XRD pattern. Then multiple thresholds are incorporated to identify the peak position, peak width and peak intensity. The FFT algorithm computes the power spectrum which is used as features to identify the flaws in the steel sheets during cold rolling process. The extracted features are used as inputs to train the ANN with BPA whose performance is evaluated to be 90% efficient. (C) 2020 The Authors. Published by Elsevier Ltd.

关键词： X-ray diffractometry Steel rolling Industry Multi-level threshold fast fourier transform algorithm Back propagation algorithm

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Precision manufacturing technology and measurements in steel rolling industry using multi threshold fast fourier transform and back propagation algorithm for analysis of X-ray diffractometry

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Materials Today: Proceedings 2021年 38卷 2624-2628页

作者： K. Sujatha R.S. Ponmagal B. Deepalakshmi N. Jayachitra EEE Dept. Dr. MGR Educational and Research Institute Maduravoyal Chennai India Department of CSE SRM Institute of Science and Technology India Department of ECE Ramco Institute of Technology India Department of Chemical Engineering Dr. MGR Educational and Research Institute Maduravoyal Chennai India

关键词： X-ray diffractometry Steel rolling Industry Multi-level threshold fast fourier transform algorithm Back propagation algorithm

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Online frequency estimation of periodic disturbance based on FFT algorithm with application in repetitive control

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JOURNAL OF VIBRATION AND CONTROL 2024年第7-8期30卷 1479-1486页

作者： Moghadam, Hassan Farrokhi Vasegh, Nastaran Mousavi, Sayed Mohsen Seyed Islamic Azad Univ Dept Elect Engn Ahvaz Branch Ahvaz Iran Shahid Rajaee Teacher Training Univ Fac Elect Engn Tehran 16788 Iran

In this paper, a new adaptive method is proposed for online frequency estimation of a periodic disturbance by the output measurement based on the fast fourier transform algorithm. The performance of the proposed algorithm is evaluated in the face of time varying frequency, time varying amplitude, non-sinusoidal periodic disturbance, and different plants. Also, the convergence rate of the method is compared by other estimation methods. Then, the online estimation is used in the repetitive controller structure for eliminating periodic disturbances with unknown frequencies. A new analysis is performed on RC and the stability conditions are determined in a theorem. These are illustrated in simulation results. The effectiveness of this method is shown on the application of phi-shaped PZT active suspension and it is compared by existing results.

关键词： fast fourier transform algorithm frequency estimation repetitive control disturbance rejection

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Thinned linear array using joint optimization of IWDO/FFT algorithm

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JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS 2021年第18期35卷 2480-2491页

作者： Li, Cheng-Zhang Li, Hai-Ming Nanjing Univ Posts & Telecommun Coll Telecommun & Informat Engn Nanjing 210003 Peoples R China

A sparse array synthesis method based on improved wind-driven optimization algorithm (IWDO) and fast fourier transform (FFT) for the purpose of sidelobe suppression was introduced. First, the uniform linear array was sparse by the FFT algorithm. Then the amplitude excitation weighting of array elements was optimized by IWDO algorithm based on probability factor chaotic map. During the optimization process, the minimum peak sidelobe level was used as the fitness function. By comparing with the simulation results of classic Chebyshev weighting method, the method proposed in this paper has better performance.

关键词： Wind-driven optimization algorithm fast fourier transform algorithm antenna sparse sidelobe suppression

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Harmonic current variation characteristics of shunt capacitors based on full-phase FFT algorithm

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APPLIED MATHEMATICS AND NONLINEAR SCIENCES 2023年第1期8卷 2893-2910页

作者： Liu, Ke Song, Rui Liu, Yutong Han, Jun Zhang, Wenqian State Grid Qinghai Elect Power Co Elect Power Sci Res Inst Xining 810008 Qinghai Peoples R China

Shunt capacitors can effectively improve the system voltage level and increase the economy of grid operation. However, under the effect of harmonics, the capacitor bank is prone to harmonic resonance, which causes overcurrent and overvoltage and threatens the safe operation of the capacitor itself and the system. To avoid damage to capacitors due to harmonics, the harmonic current variation characteristics of shunt capacitors are investigated. Based on the established mathematical model of shunt capacitors, the characteristics of harmonic current amplification under different harmonic states are analyzed. Based on the amplification characteristics and sampling law, the harmonic current signal is acquired using the full-phase fast fourier transform algorithm. The full-phase fast fourier transform algorithm is improved by the phase difference algorithm to complete harmonic current detection. The experiments show that the dynamic response time is 1.6 cycles with minimum steady-state error before and after the load current jump. When the capacitor changes from unit power factor to 0.89 inductance, the harmonic current at point A changes from 17.59A to 21.34A and 11.65 to 22.38A, respectively. The deviation values are 3.75A and 10.73A, respectively. It shows that the algorithm has good tracking ability for load currents and can effectively detect the harmonic currents of shunt capacitors and obtain accurate variation characteristics. It can ensure that the harmonic content of the shunt capacitor in the distribution system is relatively reasonable, and realize the safe, stable and economic operation of the equipment.

关键词： Full phase fast fourier transform algorithm Shunt capacitor Harmonic current variation Phase difference algorithm

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Compact and high-throughput parameterisable architectures for memory-based FFT algorithms

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IET CIRCUITS DEVICES & SYSTEMS 2019年第5期13卷 696-703页

作者： Valencia, Daniel Alimohammad, Amirhossein San Diego State Univ Dept Elect & Comp Engn 5500 Campanile Dr San Diego CA 92182 USA

Designers must carefully choose the best-suited fast fourier transform (FFT) algorithm among various available techniques for the custom implementation that meets their design requirements, such as throughput, latency, and area. This article, to the best of authors' knowledge, is the first to present a compact and yet high-throughput parameterisable hardware architecture for implementing different FFT algorithms, including radix-2, radix-4, radix-8, mixed-radix, and split-radix algorithms. The designed architectures are fully parameterisable to support a variety of transform lengths and variable word-lengths. The FFT algorithms have been modelled and simulated in double-precision floating-point and fixed-point representations using authors' custom-developed library of numerical operations. The designed FFT architectures are modelled in Verilog hardware description language and their cycle-accurate and bit-true simulation results are verified against their fixed-point simulation models. The characteristics and implementation results of various FFT architectures on a Xilinx Virtex-7 FPGA are presented. Compared to recently published works, authors' memory-based FFT architectures utilise less reconfigurable resources while maintaining comparable or higher operating frequencies. The ASIC implementation results in a standard 45-nm CMOS technology are also presented for the designed memory-based FFT architectures. The execution times of FFTs on a workstation and a graphics processing unit are compared against authors' FPGA implementations.

关键词： hardware description languages fast fourier transforms application specific integrated circuits field programmable gate arrays floating point arithmetic CMOS memory circuits CMOS logic circuits reconfigurable architectures discrete fourier transforms signal flow graphs memory architecture logic design integrated circuit design fixed point arithmetic high-throughput parameterisable architectures split-radix algorithms regular structures symmetries properties signal flow graphs fixed-point representations Verilog hardware description language fixed-point simulation models compact-throughput parameterisable architectures fast fourier transform algorithm discrete FFT algorithms radix-2 algorithm radix-4 algorithm radix-8 algorithm mixed-radix algorithm double-precision floating-point representation author custom-developed library numerical operations synthesisable FFT architectures bit-true simulation cycle-accurate simulation Xilinx Virtex-7 FPGA author memory-based FFT architectures reconfigurable resources ASIC standard CMOS technology size 45 nm

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Development of Fault Diagnosis Unit for Induction Motor using Digital Signal Processor and MEMS Accelerometer 4

Development of Fault Diagnosis Unit for Induction Motor usin...

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4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)

作者： Hegde, Vishwanath Maruthi, G. S. Malnad Coll Engn Dept Elect Engn Hassan Karnataka India Smt LV Govt Polytech Dept Elect Engn Hassan Karnataka India

ISBN: (纸本)9781728143316

This work presents an attempt in developing a non-electrical contact and non-invasive type, portable fault diagnosis unit for Induction Motor (IM), using OMAP digital signal processor and Micro-Electro-Mechanical-Systems (MEMS) accelerometer. The novelty of the work lies in the fact that several electrical and mechanical faults can be successfully detected in order to deal with challenges in the continuous condition monitoring of incipient faults in IM. The methodology includes capturing of vibration signal by accelerometer, conversion of vibration signals to voltage signal and taking the FFT of the signal in digital signal processor to carry out the spectral analysis. The experimental results have been validated by comparing with the results of Tektronix FFT analyzer and simulation. Further the developed system was examined on IMs at Milk processing dairy industry and Ply wood manufacturing industry to validate the system performance.

关键词： Electrical faults fast fourier transform algorithm Mechanical faults MEMS accelerometer OMAP digital signal processor Three phase induction motor Vibration analysis

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Power harmonic and interharmonic detection method in renewable power based on Nuttall double-window all-phase FFT algorithm

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IET RENEWABLE POWER GENERATION 2018年第8期12卷 953-961页

作者： Su, Taixin Yang, Mingfa Jin, Tao Costa Flesch, Rodolfo Cesar Fuzhou Univ Dept Elect Engn Fuzhou 350116 Fujian Peoples R China Univ Fed Santa Catarina Dept Automat & Syst BR-88040900 Florianopolis SC Brazil

Harmonics and interharmonics adversely affect power grids. The fast fourier transform (FFT) algorithm is one of the most commonly used methods for harmonic analysis. However, in practical applications, the accuracy of harmonic analysis can be seriously affected by fence effect and spectral leakage, which are undesired characteristics inherent to discrete fourier transforms. Moreover, when non-synchronous sampling is carried out, the phase measurement is not accurate enough, and there is a large error in the identification of interharmonics. In order to improve the measurement precision, the method of all-phase spectrum analysis is used, since it has the characteristics of phase invariance and good spectral leakage suppression. A novel method based on improved Nuttall double-window all-phase FFT is proposed by improving the window function and the spectrum correction method for achieving higher precision. Through simulation and experimental verification, the proposed algorithm has proven to perform better than the traditional algorithms both for the detection of harmonics and interharmonics. In addition, the computation burden is not considerably increased when compared to such algorithms, which allows the on-line use of the proposed algorithm.

关键词： power system harmonics fast fourier transforms power grids harmonic analysis discrete fourier transforms signal sampling spectral analysis window function spectrum correction method spectral leakage suppression phase invariance characteristics measurement precision all-phase spectrum analysis interharmonic identification phase measurement nonsynchronous sampling discrete fourier transforms fence effect harmonic analysis fast fourier transform algorithm power grids Nuttall double-window all-phase FFT algorithm renewable power power interharmonic detection method power harmonic detection method

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Soil Moisture Variation Estimated from GPS-IR Using FFT and LS

Soil Moisture Variation Estimated from GPS-IR Using FFT and ...

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Forum on Cooperative Positioning and Service (CPGPS)

作者： Wang, Xiaolei Zhang, Shuangcheng Zhang, Qin Changan Univ Coll Geol Engn & Geomant Xian 710054 Shaanxi Peoples R China

ISBN: (纸本)9781509050222

Accurate and long-term monitoring of soil moisture is of great significance for global water and carbon cycles. The soil moisture variation estimated from GPS-IR (GPS-InterferometricReflectometry) overcomes some drawbacks of traditional ways, and has become an important topic. Changes in the permittivity of the soil, which are associated with fluctuations in soil moisture, affect the effective frequency, phase, and amplitude of signal-to-noise ratio (SNR) data recorded by the GPS receiver. This study used fast fourier transform (FFT) algorithm with equal sinusoidal elevation angle-interval sampling and Least Square (LS) method mainly used in most previous studies to acquire GPS interferogram metrics, by comparing the retrievals with volumetric soil moisture retrieved by PBO H2O group. The values of frequency extracted by these two algorithms linearly and negatively correlate with surface soil moisture, showing correlations of -0.57 for LS and -0.45 for FFT. However, the correlation coefficient for phase extracted by FFT was 0.61, greater than that by LS of 0.31, both positively.

关键词： soil moisture signal-to-noise ratio fast fourier transform algorithm least square method

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