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Relevant bibliographies by topics / Dc bias

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Academic literature on the topic 'Dc bias'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 June 2025

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Journal articles on the topic "Dc bias"

1

Wada, S., H. Adachi, H. Kakemoto, et al. "Phase transition behaviors of BaTiO3–BaZrO3 solid solutions under high direct current bias fields." Journal of Materials Research 17, no. 2 (2002): 456–64. http://dx.doi.org/10.1557/jmr.2002.0064.

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The dielectric properties of the Ba(Ti1–xZrx)O3 (BT1–xZx) ceramics with various compositions were investigated under various DC bias fields. In BT0.94Z0.06 ceramics, the dielectric constants (ε) vs temperature (T) curves without DC bias showed no frequency dependence. Its DC bias dependence exhibited that with increasing DC bias fields, the dielectric constants were suppressed while phase transition peaks slightly shifted to high temperature. In BT0.58Z0.42 ceramics, the ε vs T curves without DC bias showed a broad peak with a clear frequency dependence, which revealed that BT0.58Z0.42 ceramics were the relaxor. Its DC bias dependence exhibited that with increasing DC bias fields, the dielectric constants were suppressed while the phase transition peak largely shifted to low temperatures. In BT0.79Z0.21 ceramics, the ε vs T curves without DC bias showed a broad peak without frequency dependence. Its DC bias dependence revealed that the dielectric peak shifted to high temperature and broadened with increasing DC bias. To explain the above phenomena, it was considered that the role of Zr ions on BT1−xZx ceramics is to make the depth of the potential well shallow successively.

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2

Tu, Chunming, Xueping Yu, Fan Xiao, Bei Liu, and Qi Guo. "Transient DC bias suppression of three-port isolated DC–DC converter." IET Power Electronics 13, no. 16 (2020): 3787–96. http://dx.doi.org/10.1049/iet-pel.2020.0239.

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Le, Kang, and Yu Jun Feng. "Influence of DC Bias on the Properties of the Piezoelectric Material." Materials Science Forum 852 (April 2016): 164–70. http://dx.doi.org/10.4028/www.scientific.net/msf.852.164.

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According to the resonant characteristics of piezoelectric materials, in order to get the parameters of piezoelectric materials under DC bias voltage by calculate the impedance spectrum of piezoelectric materials, and the changes of the parameters of piezoelectric materials under DC bias were discussed. This paper measured the impedance spectrum of piezoelectric materials under different DC bias voltage with TH2828S Impedance Analyzer, and found that DC bias voltage made the material impedance spectrum drifted. Various parameters of materials were calculated by the resonance method, it was found that the parameters of piezoelectric materials under varied bias voltage were different, and the behaviours of each parameters under DC bias voltage were obtained.It was consider that the elastic constant and dielectric constant were changed due to the inverse piezoelectric effect of the piezoelectric materials which were under DC bias voltage,so that other parameters were changed.Then the resonant frequent formula of piezoelectric materials under DC bias voltage was deduced.

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Yan, Shuo Qing, Qi Fan Li, Li Dong, and Ze Kun Feng. "The DC-Bias-Superposition Characteristics of Low Sinter Temperature NiCuZn Ferrite." Advanced Materials Research 668 (March 2013): 719–22. http://dx.doi.org/10.4028/www.scientific.net/amr.668.719.

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The DC-bias superposition characteristics of NiCuZn ferrite with different amount of Bi2O3 have been investigated. The microstructure depends much on the amount of Bi2O3. The DC-bias-superposition characteristics have great relationship with the microstructure. The permeability of materials composed of tiny grains decreases more slowly with the increase of DC-bias superposition due to the absence of the domain walls in the grain. The nonmagnetic phase in the grain boundary can reduce the actual DC-bias superposition in the grains when the sample was subject to DC-bias superposition. In short, a microstructure with relatively small average grain size and thick nonmagnetic phase in the grain boundary, which is favorable for obtaining better DC-bias superposition characteristics.

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Sun, Youliang, Li Zhang, Zhuangzhuang Zhang, and Dong Wang. "Overview of Research Status of DC Bias and Its Suppression in Power Transformers." Energies 15, no. 23 (2022): 8842. http://dx.doi.org/10.3390/en15238842.

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In this article, the sources of DC bias and its effects on power transformers are first summarized. Secondly, the article classifies and summarizes the current DC bias calculation problems of power transformers, and puts forward some interesting viewpoints on the research logic of related calculations. The current processing methods of DC bias effect are classified and discussed, their advantages and disadvantages are compared, and the logic flow of DC bias effect processing is proposed. Finally, the current research on DC bias voltage of power transformers is summarized, and the progress and deficiencies of current research are pointed out, which has certain reference value for future research on DC bias voltage and its suppression.

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Zhou, Yang, Bojin Qi, Minxin Zheng, and Baoqiang Cong. "A Novel DC Bias Suppression Strategy for Single-Phase Full-Bridge DC-DC Arc Welding Converter." Electronics 10, no. 4 (2021): 428. http://dx.doi.org/10.3390/electronics10040428.

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The high frequency transformer in single-phase full-bridge DC-DC converter is prone to saturation because of the asymmetry of circuit parameters. Transformer saturation will increase power consumption, accelerate the aging of winding insulation, and even damage power switches. In order to prevent this risk, a DC bias suppression strategy is presented in this article, and the main advantage of this strategy is that the problem of transformer saturation can be completely eliminated. In this article, firstly, the DC bias and saturation mechanism of single-phase full-bridge DC-DC converter are analyzed in detail, and the Maximum Integral Value of Volt-Second Product error (MIVVSPE) is derived. Secondly, aiming at the saturation problem of single-phase full bridge DC-DC converter, a new digital integral circuit is designed to evaluate the DC bias state of transformer, and a DC bias suppression strategy is constructed to suppress the saturation of transformer. Furthermore, different from the traditional current feedback control strategy, the DC bias suppression strategy based on volt-second product error integral can be triggered before the transformer enters the saturation state, and the transformer saturation can be completely suppressed. Finally, a 30 kW single-phase full-bridge DC-DC converter for arc welding is established in lab. The experimental results show that the new DC bias suppression strategy can effectively prevent the transformer from entering the saturation state and improve the operation stability of single-phase full-bridge DC-DC arc welding inverter.

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Ding, Zujun, Lutao Liu, and Baolian Liu. "Modeling Analysis of DC Magnetic Bias of Iron Core Reactor of APF." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/150129.

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As one of the main power devices of active power filter (APF), iron core reactor DC magnetic bias would affect the performance of APF. Based on the study of DC magnetic bias mechanism of APF iron core reactor, the data model was established in this paper. The performance of APF device impacted by iron core reactor DC magnetic bias was analysed through the simulation in different DC current conditions, and optimization scheme was proposed to reduce DC magnetic bias to improve working performance of APF. To reduce DC magnetic bias, main circuit parameters and control characteristics were uniform, and reluctance of iron core was increased. Results of the simulations and experiments validated that the improved method could restrain reactor DC magnetic bias to reduce even harmonic current in APF output current, which could greatly optimize APF performance.

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Purnita, Krishna Saha, and M. Rubaiyat Hossain Mondal. "Machine learning for DCO-OFDM based LiFi." PLOS ONE 16, no. 11 (2021): e0259955. http://dx.doi.org/10.1371/journal.pone.0259955.

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Light fidelity (LiFi) uses different forms of orthogonal frequency division multiplexing (OFDM), including DC biased optical OFDM (DCO-OFDM). In DCO-OFDM, the use of a large DC bias causes optical power inefficiency, while a small bias leads to higher clipping noise. Hence, finding an appropriate DC bias level for DCO-OFDM is important. This paper applies machine learning (ML) algorithms to find optimum DC-bias value for DCO-OFDM based LiFi systems. For this, a dataset is generated for DCO-OFDM using MATLAB tool. Next, ML algorithms are applied using Python programming language. ML is used to find the important attributes of DCO-OFDM that influence the optimum DC bias. It is shown here that the optimum DC bias is a function of several factors including, the minimum, the standard deviation, and the maximum value of the bipolar OFDM signal, and the constellation size. Next, linear and polynomial regression algorithms are successfully applied to predict the optimum DC bias value. Results show that polynomial regression of order 2 can predict the optimum DC bias value with a coefficient of determination of 96.77% which confirms the effectiveness of the prediction.

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Li, Bing, Zezhong Wang, Mingyang Li, and Suxin Guo. "Analysis of the DC Bias Effects on the UHV Autotransformer with Rated Load Based on a Reduced-Scale Model Experiment." Applied Sciences 10, no. 4 (2020): 1529. http://dx.doi.org/10.3390/app10041529.

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The DC bias of transformers as a result of geomagnetically induced currents (GIC), monopole operation of high voltage direct current (HVDC) transmission and the increasing power electronic devices in the power grid, creates a high magnitude of fundamental and harmonic components in winding currents, reactive power, and vibro-acoustic noise. For transformers with large capacity, it is very expensive and difficult to carry out an in-depth DC bias effects investigation on a practical equipment, especially for the ultra-high voltage (UHV) transformer. In this paper, a reduced-scale model (RSM) based on the principle of identical saturation degree is proposed, and the equivalent relationship of DC bias current is obtained. Furthermore, the DC bias platform with the RSM is established, experiments have been conducted to analyze the characteristics of the transformer under DC bias. It turns out from the experiments that the current of high voltage side and excitation are less tolerated to the DC bias current, the distortion occurs during the first half of the cycle and peaking at the quarter. Besides, the no-load loss and total harmonic distortion (THD) increase significantly with an increasing DC bias. The results of the characteristics of RSM with load under DC bias may provide great services in protecting and reducing the DC bias effects on the UHV transformer in actual operation.

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Jo, Young-Chang, Ju-Yeop Choi, Seung-Ki Jung, Ick Choy, and Seung-Ho Song. "Loss Calculation of a High Power DC-DC Converter Considering DC Bias Characteristic of Inductor." Transactions of The Korean Institute of Electrical Engineers 60, no. 4 (2011): 789–95. http://dx.doi.org/10.5370/kiee.2011.60.4.789.

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Dissertations / Theses on the topic "Dc bias"

1

Galvis, Jorge Alberto. "Low-power flip-flop using internal clock gating and adaptive body bias." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001465.

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Taylor, Eileen Zalkin. "The effects of in-group bias and decision aids on auditors' evidence evaluation." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001572.

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Sherman, Pattie Beth. "Trauma-based priming and attentional bias to smoking cues : a Stroop task study." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002071.

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Rendina-Gobioff, Gianna. "Detecting publication bias in random effects meta-analysis : an empirical comparison of statistical methods." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001494.

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5

Isumbingabo, Emma Francoise. "Evaluation and mitigation of the undesired effect of DC bias on inverter power transformer." Master's thesis, University of Cape Town, 2009. http://hdl.handle.net/11427/5202.

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Inverters have traditionally been used mostly in standalone systems (non-grid connected), Uninterruptible Power Supplies (UPS) and, more recently, in distributed generated systems (DGs). DG systems are based on grid connected inverters and are increasingly being connected to utility grids to convert renewable energy sources to the utility grids. Such sources are likely to have a significant impact in the future in meeting the electricity demands of industry and domestic consumption. Common DGs utilize DC power sources such as fuel cells, batteries, photovoltaic (solar) power, and wind power. Most of power supplies in domestic and industries are AC power consumers and, for this reason, the DC power has to be converted to meet the requirement. Two main causes of DC current in inverter power transformer are: 1) Non-linearity and asymmetry in its switching mechanism which may result in undesired DC current at its input. This DC current introduced into an inverter transformer results in the transformer's magnetic flux distortion and in some cases magnetic saturation. This, in turn, results in asymmetrical primary currents in the transformer (inverter side). This is due to the non linear characteristics of the transformer magnetic flux. 2) The same effects can be produced by the connection of asymmetrical loads (e.g. asymmetrical rectifier) to the inverter output. The result in both cases is an asymmetrical magnetic flux in the transformer. This is manifested as even and odd current harmonics as well as an increase in the reactive power requirement from the inverter. vi To remedy this situation, it is, therefore, necessary to incorporate into the inverter's control system a mechanism of cancelling the DC magnetic motive force (mmf) that causes the magnetic flux distortion. This Thesis presents a method of introducing a DC voltage component in the inverter's voltage output so as to inject the necessary DC current into the primary side of the inverter's transformer so as to cancel the total DC mmf that the transformer is subjected to ( supply and load side). This project consists of three main parts namely: Modeling, Simulation and Laboratory Experiment. Activities undertaken under Modeling and Simulation were as follows: Determining the effects of DC current on a power transformer. Investigating the likely occurrence of saturation of the power transformer incorporated in inverter systems. Mitigating the effects that can be caused by the presence of a DC component in the windings of a power transformer. After understanding the literature on the subject of interest, MATLAB SIMULINK and MATLAB m-files were used to simulate the behavior of the power transformer under three situations : The transformer under linear load. The transformer subjected to asymmetrical loading. The inverter system that has a power transformer on its output were designed in MATLAB and used to simulate the situation for each case. To validate the theory and simulation results, experimental work was carried out as follows: vii Investigation of the effects that DC (current) injection can have on a 6 kVA power transformer. Investigation of the performance of a 6 kVA power transformer under linear loading. Investigation of the performance of a 6 kVA power transformer under non-linear loads. Investigation of the likely occurrence of DC offset in inverter system. Mitigation of the effect of DC bias on power transformer using extra windings. Mitigation of the effects of DC offset in power inverter transformer by using the second harmonic content of the primary current as a feedback signal. Results obtained showed a successful implementation of the proposed method. However limitations of the controller performances were experienced and will require future work. It was concluded that a total removal of the undesired effects of DC bias is achievable and that total removal of DC offset in power inverter transformer is possible if the limitations of the controller are overcome.

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Smith, Lance Santoro. "The effects of homophobia, legislation, and local policies on heterosexual pupil services professionals' likelihood of incorporating gay affirming behaviors in their professional work with sexual minority youths in public schools." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002156.

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Baguley, Craig. "An investigation into the core losses of Mn-Zn ferrite materials under DC bias conditions." Thesis, University of Auckland, 2011. http://hdl.handle.net/2292/7156.

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The range of products in modern society which are dependent on electronic power supplies is extensive. A non-exhaustive list of examples includes: computers, battery chargers, lighting systems, televisions, automobiles, DVD players, and mobile phones. As new technologies emerge and new products become available consumer demand for power driven equipment can be expected grow. Concurrently, environmental protection agencies are advocating that demand be constrained in order to limit power consumption and, thus, carbon emissions. The conflicting interests of consumers and environmental protection agencies can be at least partially reconciled through improving power supply efficiency levels and, consequently, research in this area has assumed great importance. A significant contribution to the total energy losses of power supplies are made by its magnetic components, which consist essentially of an electrically conductive coil wound around a soft magnetic core that is often excited under a dc bias condition, as both ac and dc magnetic fields are applied. Although the material commonly used to implement the core is Mn-Zn ferrite, its physical loss mechanisms under dc bias conditions are not well understood. Therefore, there is a need for an investigation in this area. This Thesis aims to fulfill this need by presenting the results of an investigation into the losses of Mn-Zn ferrite cores under dc bias conditions. With the use of a laser vibrometer, experimental results are presented showing that the amplitude of the magnetostrictive vibration of a Mn-Zn ferrite core increases with dc bias levels. This increase is shown to be general in the sense that it occurs at frequencies distant from, as well as close to, the natural resonant frequency of the core. Using an accurate core loss measurement circuit it is also shown that core losses increase significantly with dc bias, and it is proposed that a correlation between magnetostrictive vibration and core losses exists. In addition, an unusual phenomenon caused by the interactions between the mechanical and magnetic states of a Mn-Zn ferrite core is reported. During this phenomenon figure-eight shaped B-H loops can be induced, as a negative core loss occurs during a portion of a magnetic excitation cycle. The experimental evidence related to the figure-eight shaped B-H loops, as well as the correlation between core losses and magnetostictive vibration, is supported by theory proposed in this Thesis, and results generated by a model of the magnetization process under dc bias conditions.

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8

Yanover, Tovah. "Perceptions of Weight Status: The Effects of Target Features (Fat/Muscularity Level, Gender, Ethnicity) and Rater Features (Ethnicity and Gender)." [Tampa, Fla] : University of South Florida, 2009. http://purl.fcla.edu/usf/dc/et/SFE0003029.

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Borrill, Leslie David. "Duality derived topological model of single phase four limb transformers for GIC and DC bias studies." Doctoral thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/27429.

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Geomagnetic disturbances brought about by solar activity cause geo-electric fields in the Earth that drive geomagnetically induced currents through the earthed neutrals of transformers and through power transmission networks. The flow of these currents causes the magnetic cores of transformers to half-wave saturate. Saturated transformers pose problems for power system operators since they can cause harmonics, transformer heating, mal-operation of protection relays, generator heating and vibration, and consume a large reactive power that can cause voltage collapse. Network studies of slow transient phenomena such as transformer half-wave saturation require appropriate models with parameters that represent the transformer transient state aptly. In this thesis a novel duality derived reversible model is developed of a single phase four limb transformer. The test transformers' non-step lap butt type core joints are shown to be problematic and the model is developed further to include the core joints. Due to the irregular core stacking method joint parameter determination is at best an approximation and the model is reduced to a duality compliant equivalent pi model for accuracy reasons. The pi model parameters and saturation characteristics are determined through laboratory testing and a complete pi model is presented. An understanding of a single phase transformer's physical behavior to slow transients is undertaken through the use of appropriately developed test circuits. Search coils are used extensively to understand the transformer core's behaviour through flux mapping of the core and stray flux in the surrounding air space when the transformer saturates. Three phase testing is included using a three phase bank of test transformers. The electrical measurements of waveforms are analysed and fast Fourier transforms carried out to obtain the harmonic components. The effect on a motor load of the distortion caused by transformer half-wave saturation is determined. A novel method of determining the effective core joint area of the problematic non-step lap butt type core joints is developed and a joint utilization factor is proposed that can be used in the absence of transformer manufacturer design information about this joint type in other transformer models.

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Himes, Susan. "Fat commentary and fat humor presented in visual media : a content analysis." [Tampa, Fla] : University of South Florida, 2005. http://purl.fcla.edu/usf/dc/et/SFE0001407.

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Books on the topic "Dc bias"

1

United States. Congress. House. Committee on Education and the Workforce. Subcommittee on Select Education. International programs in higher education and questions of bias: Hearing before the Subcommittee on Select Education of the Committee on Education and the Workforce, House of Representatives, One Hundred Eighth Congress, first session, hearing held in Washington, DC, June 19, 2003. U.S. G.P.O.], 2003.

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Meihui, Wen, and Hu Zhanzhen, eds. Ya-zhou ming ju gu shi / dc Wen Meihui, Hu Zhanzhen bian. Shang ding wen hua chu ban she, 1991.

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Haiming, Wang, ed. Zhongguo dian ying lao hai bao: 20 shi ji 80 nian dai / dc Wang Haiming zhu bian. Hebei mei shu chu ban she, 2006.

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Haiming, Wang, ed. Zhongguo dian ying lao hai bao: 20 shi ji 60 nian dai / dc Wang Haiming zhu bian. Hebei mei shu chu ban she, 2006.

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Haiming, Wang, ed. Zhongguo dian ying lao hai bao: 20 shi ji 70 nian dai / dc Wang Haiming zhu bian. Hebei mei shu chu ban she, 2006.

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United States. Congress. Senate. Select Committee on Indian Affairs. New school construction, improvement, and repair of BIA's school facilities: Hearing before the Select Committee on Indian Affairs, United States Senate, One Hundred Second Congress, first session ... April 24, 1991, Washington, DC. U.S. G.P.O., 1991.

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), United States Congress Senate Committee on Indian Affairs (1993. BIA task force: Hearing before the Committee on Indian Affairs, United States Senate, One Hundred Fourth Congress, first session, on to focus on the report and recommendations of the Joint Tribal BIA/DOI Reorganization Task Force, May 18, 1995, Washington, DC. U.S. G.P.O., 1995.

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United States. Congress. Senate. Committee on Indian Affairs (1993- ). BIA task force: Hearing before the Committee on Indian Affairs, United States Senate, One Hundred Fourth Congress, first session, on to focus on the report and recommendations of the Joint Tribal BIA/DOI Reorganization Task Force, May 18, 1995, Washington, DC. U.S. G.P.O., 1995.

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Mahapatra, Souvik. Fundamentals of Bias Temperature Instability in MOS Transistors: Characterization Methods, Process and Materials Impact, DC and AC Modeling. Springer, 2015.

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Mahapatra, Souvik. Fundamentals of Bias Temperature Instability in MOS Transistors: Characterization Methods, Process and Materials Impact, DC and AC Modeling. Springer, 2016.

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Book chapters on the topic "Dc bias"

1

Mohindru, Pooja, and Pankaj Mohindru. "DC Bias and DC Sweep Simulations." In Electronic Circuit Analysis using LTspice XVII Simulator. CRC Press, 2021. http://dx.doi.org/10.1201/9781003199489-4-4.

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Su, Renbin, Jianming Zou, Wei Wang, et al. "Risk Assessment of DC Bias in Multi DC Projects Under Different Operating Conditions." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7401-6_2.

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Mahapatra, Souvik. "A Comprehensive Modeling Framework for DC and AC NBTI." In Bias Temperature Instability for Devices and Circuits. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7909-3_14.

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Kodaka, Hiroki, and Yoichi Okabe. "DC Bias Margin of Non-Latch Single Flux Quantum Logic." In Advances in Superconductivity IX. Springer Japan, 1997. http://dx.doi.org/10.1007/978-4-431-68473-2_131.

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Duan, Huida, and Yuan Liu. "Research and Identification of DC Magnetic Bias of Single-Phase Transformer." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6324-6_11.

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Han, Dongwei, Tao Zheng, Xianqi Zhu, and Huanhuan Qi. "The Modeling and Excitation Characteristics of the Transformer Under DC Bias." In Lecture Notes in Electrical Engineering. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4981-2_89.

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Goel, Nilesh, and Souvik Mahapatra. "Modeling of DC and AC NBTI Degradation and Recovery for SiON and HKMG MOSFETs." In Fundamentals of Bias Temperature Instability in MOS Transistors. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2508-9_6.

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Lan, Dongliang, Minghua Zhu, Tengteng Hou, Zhiwei Chen, Fenglinzi Dan, and Beibei Liang. "Electromagnetic Transient Calculation and Experiment of Intelligent Transformer Under DC Bias Magnetic Field." In Lecture Notes in Electrical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1528-4_101.

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Liu, Baolong, Kun Wei, Zhaolong Sun, Yuxin Niu, and Peng Zhu. "Transient DC Bias Current Suppression for Dual Active Bridge by Improved TPS Modulation Scheme." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4800-9_3.

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Wang, Feng-hua, Jun Zhang, Cheng-yu Gu, and Zhi-jian Jin. "Simulation and Experiment Research on the Effects of DC-Bias Current on the 500kV Power Transformer." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21762-3_29.

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Conference papers on the topic "Dc bias"

1

Sengupta, Arkadeb, Thiago Pereira, and Marco Liserre. "DC Bias Elimination in Isolated DC-DC Converters using Fundamental-Frequency Ripple." In 2025 IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE, 2025. https://doi.org/10.1109/apec48143.2025.10977080.

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Riener, Christian, Herbert Hackl, David Pommerenke, Ralph Prestros, and Bernhard Auinger. "Evaluation of High-Voltage Bias-Tee for Capacitor Characterization under DC Bias." In 2024 International Symposium on Electromagnetic Compatibility – EMC Europe. IEEE, 2024. http://dx.doi.org/10.1109/emceurope59828.2024.10722746.

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Mühlethaler, Jonas, Fabrice Locher, Frédéric Mathieu, and Edward Herbert. "Core Material Characterization under DC Bias Conditions." In 2025 IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE, 2025. https://doi.org/10.1109/apec48143.2025.10977147.

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Zong, Quande, Wenlang Deng, Kai Yan, and Zuling Chen. "Instantaneous DC Bias Suppression Strategy for Isolated AC/DC Matrix Converters." In 2024 IEEE 8th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2024. https://doi.org/10.1109/ei264398.2024.10991631.

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Park, Yunsik, and Dongsu Kim. "Advanced Sequential DC Bias Circuit Utilizing Impedance Variation." In 2024 Asia-Pacific Microwave Conference (APMC). IEEE, 2024. https://doi.org/10.1109/apmc60911.2024.10867577.

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Wang, Ying, Cong Wang, Wei Cui, et al. "Quantitative analysis of transformer DC bias risk influencing factors." In Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), edited by Yuanhao Wang and Cristian Paul Chioncel. SPIE, 2024. https://doi.org/10.1117/12.3050894.

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Tunç, Alperen, Yusuf Deniz Tandoğan, and Mustafa Berke Yelten. "DC Bias Line Design for Supply-Modulated Power Amplifiers." In 2024 32nd Telecommunications Forum (TELFOR). IEEE, 2024. https://doi.org/10.1109/telfor63250.2024.10819169.

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Yi, Wei, and Zhongyang Cheng. "Dielectric Biosensor for E. Coli Detection with DC Bias." In 2024 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP). IEEE, 2024. https://doi.org/10.1109/ceidp61745.2024.10907533.

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9

Li, Mingxue, Xinyu Mei, Yue Zhang, and Dongsheng Yu. "Transient DC Bias Suppression Strategy for Dual Active Bridge DC/DC Converters Based on Adaptive Virtual Resistance Compensation." In 2024 5th International Conference on Power Engineering (ICPE). IEEE, 2024. https://doi.org/10.1109/icpe64565.2024.10929450.

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10

Guo, Yiwei, Chenyuan Zhang, Chong Yang, Jiao Xia, Wei Wang, and Yipeng Lu. "Underwater Ultrasound Communication Based on PMUTs with DC Bias Voltage." In 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS). IEEE, 2024. https://doi.org/10.1109/uffc-js60046.2024.10793486.

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Reports on the topic "Dc bias"

1

BALDWIN, JESSE G., and DALE F. DUBBERT. Quadrature Mixer LO Leakage Suppression Through Quadrature DC Bias. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/800958.

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2

Jaiswal, S., Connor Belt, Anton Kananovich, and E. Aguirre. Structural transformation of dusty plasma crystal in dc discharge plasma by changing confinement ring bias. Office of Scientific and Technical Information (OSTI), 2024. https://doi.org/10.2172/2511244.

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