Suwanngam, Warachart
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Preferred name
Suwanngam, Warachart
Alternative Name
Suwan-Ngam, Warachart
Suwan-Ngam, W.
Main Affiliation
Email
warachart.su@kmitl.ac.th
13 results
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Item type:Publication, Comparison of Reduced-Length FFT-Based Feature for Induction Motor Fault Classification(2025-01-01); ; This research presents a comparison of FFT-based features which can be used for classifying induction motor faults via neural network. In this paper, the misalignment and rotor bar damage faults are investigated by using stator current as input data only. As the length of the full FFT can include both informative data corresponding to the faults and uninformative data such as noise from environment or electrical supply, only relevant magnitude from FFT bins should be selected and used instead. This paper proposed to use threshold level determined from the magnitude of FFT bins in dataset as a criterion for the selection. From experimental results, an input feature vector created by proposed method can create short input feature vector length to be used by neural network efficiently. The trained neural network performs classification task at 99.98% in accuracy. Comparing to using dimension reduction by PCA, thresholding method needs basic computation, and yields result close to PCA method. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A PSPWM with variable frequency control for a two-output three-level series resonant inverter(2015-08-17); This research paper presents a two-output three-level series resonant inverter by using phase-shifted pulse width modulation with a variable frequency control technique. In order to achieve the boundary condition of operation under ZVS for all switches, this paper will analyze this condition which depends on operating frequency and phase-shifted angle between the gate signals of the outer switches and the inner switches. In addition, the proposed circuit was designed, built and tested. The test has two cases which include fixed frequency control and variable control method. From the experiment, the fixed frequency control cannot obtain the ZVS condition of switches for all phase-shifted angle values. On the other hand, the variable frequency control can maintain the ZVS condition for all phase-shifted angle values that is in line with the proposed concept. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Implementation and Optimization of Two Degree of Freedom H∞ Loop Shaping Control for Average Current Mode Control Buck Converter using Genetic Algorithm(2021-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, System Implementation for the Soft Start Operation of a Doubly-Fed Induction Motor(2024-10-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Implementation of two-output three-level series-resonant inverter for induction melting application(2018-01-12); This study aims to present a two-output three-level series-resonant inverter together with an implementation and experiments for an induction melting application. A three-level circuit is applied for each branch of inverter in order to decrease the voltage stress on switching devices. A phase-shifted pulse-width modulation (PSPWM) with variable frequency control is applied for providing and maintaining a zero-voltage switching condition over a wide load range. In addition, the PSPWM could provide symmetrical output voltage and current waveforms that result in decreasing the THD<inf>v</inf> and THD<inf>i</inf> of output waveforms and harmonic losses of high-frequency transformer cores comparing to other PWM schemes. Finally, the prototype was designed, built, and tested to verify the consistency between the experimental results and theories of the proposed inverter. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Small Deep Learning Model for Fault Detection of a Broken Rotor Bar of an Induction Motor(2024-01-01); ; In this paper, we present an investigation of a small deep learning model applied to the detection of a broken rotor bar of an induction motor. The motor current spectrum analysis is the base method for fault detection. This proposed method focuses on the analysis of the modification of the input vector and model configuration. This method was implemented and it showed that the feature length and size of the model are reduced compared with the existing method. The experimental results showed that only feature extraction using the spectral-based method and limit range of its coefficient are adequate to provide accuracy of small deep learning comparable to that of the parallel-layer deep learning model. Likewise, at the same accuracy level, based on the deep learning model, a shorter sampling duration than that required by the reference model is needed. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Stator Flux Estimation Based on a Kalman Filter for Stator Flux Vector Control of a Doubly-Fed Induction Motor(2025-06-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Suitable power transformers for solar farm applications(2015-08-17); This paper presents a suitable power transformer for solar farm applications. Losses and economic value of the proposed transformer are compared to those of the standard transformer, for the application to a 1 MW solar farm, to help the solar farm owners select the best solution for their business. In this paper, a power electronics transformer called a Solid State Transformer (SST) is also proposed for the application to the solar farm because of its light weight, small size and varieties of functions. There are no core losses during no operation period which is about 15-16 hours a day. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Efficiency improvement of a dual-active-bridge isolated bidirectional DC-DC converter(2019-07-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Analysis of a Doubly-Fed Induction Motor for Soft Start Operation Based on Stator Flux Vector Control(2024-10-01)This paper aims at analysis of an operation of a doubly-fed induction motor (DFIM). The paper mainly focuses on the soft start method for the DFIM based on stator flux vector control and the conventional topology without either circuit reconfiguration or change in the control methods. Likewise, the details about reactive power control are also discussed. With the proposed method, the DFIM can start from standstill to any speed by controlling the machine-side converter (MSC). The computer simulation is performed to a 5 kW wound rotor induction motor using PLECS software. The simulation results have successfully validated that the DFIM can operate from standstill to any speed with only a single circuit configuration and a control scheme.