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Transformers : Optimus Prime
Explore the aftermath of Optimus Prime and his Autobots stopping an alien invasion of Earth. Diving into stories of war, peace, loss, regret, and redemption, this volume of Optimus Prime gives readers dramatic Transformers stories that spotlight the Autobots' present and past struggles while setting the stage for future surprises.
Book
Multi-port DC transformer applied to large-scale DC collection systems
This paper proposes a multi-port DC transformer for boosting and flexible interconnection in large-scale DC collection systems. It can transmit power and adjust port current, while also having a relatively simple control strategy. The engineering practicality of the proposed DC transformer can be well verified through the simulation of a 4 GW DC collection system. In this application scenario, the proposed DC transformer can operate stably and safely under both dynamic and steady-state conditions.
Journal Article
Transformers and inductors for power electronics
Based on the fundamentals of electromagnetics, this clear and concise text explains basic and applied principles of transformer and inductor design for power electronic applications. It details both the theory and practice of inductors and transformers employed to filter currents, store electromagnetic energy, provide physical isolation between circuits, and perform stepping up and down of DC and AC voltages.
The authors present a broad range of applications from modern power conversion systems. They provide rigorous design guidelines based on a robust methodology for inductor and transformer design. They offer real design examples, informed by proven and working field examples.
Key features include:
* emphasis on high frequency design, including optimisation of the winding layout and treatment of non-sinusoidal waveforms
* a chapter on planar magnetic with analytical models and descriptions of the processing technologies
* analysis of the role of variable inductors, and their applications for power factor correction and solar power
* unique coverage on the measurements of inductance and transformer capacitance, as well as tests for core losses at high frequency
* worked examples in MATLAB, end-of-chapter problems, and an accompanying website containing solutions, a full set of instructors' presentations, and copies of all the figures.
Covering the basics of the magnetic components of power electronic converters, this book is a comprehensive reference for students and professional engineers dealing with specialised inductor and transformer design. It is especially useful for senior undergraduate and graduate students in electrical engineering and electrical energy systems, and engineers working with power supplies and energy conversion systems who want to update their knowledge on a field that has progressed considerably in recent years.
eBook
Correction: Research on partial discharge signal recognition and classification of power transformer based on acoustic-VMD and CNN-LSTM
[This corrects the article DOI: 10.1371/journal.pone.0335447.].
Journal Article
Transformers : lost light
\"Five years previously, Rodimus and a collection of traumatised, lovelorn and/or sarcastic Autobots set off on a quest to find Cyberutopia. So far, they've made a right hash of it. They've misplaced their map. They've lost their ship, the Lost Light, to a mutinous escapologist. Oh, and they're dead.\"-- page four of cover, v. 1.
Book
Management of power transformers reliability by technologies of control on resource characteristics of liquid dielectric
The relationship between the resource of a power transformer and the resource characteristics of a liquid dielectric is shown. Determined the key quality indicators, which allow to control the resource of the liquid dielectric. For the first time, “The method of experimental determination of the liquid dielectric resource and measures for its restoration” was developed.
Journal Article
A survey of the vision transformers and their CNN-transformer based variants
Vision transformers have become popular as a possible substitute to convolutional neural networks (CNNs) for a variety of computer vision applications. These transformers, with their ability to focus on global relationships in images, offer large learning capacity. However, they may suffer from limited generalization as they do not tend to model local correlation in images. Recently, in vision transformers hybridization of both the convolution operation and self-attention mechanism has emerged, to exploit both the local and global image representations. These hybrid vision transformers, also referred to as CNN-Transformer architectures, have demonstrated remarkable results in vision applications. Given the rapidly growing number of hybrid vision transformers, it has become necessary to provide a taxonomy and explanation of these hybrid architectures. This survey presents a taxonomy of the recent vision transformer architectures and more specifically that of the hybrid vision transformers. Additionally, the key features of these architectures such as the attention mechanisms, positional embeddings, multi-scale processing, and convolution are also discussed. In contrast to the previous survey papers that are primarily focused on individual vision transformer architectures or CNNs, this survey uniquely emphasizes the emerging trend of hybrid vision transformers. By showcasing the potential of hybrid vision transformers to deliver exceptional performance across a range of computer vision tasks, this survey sheds light on the future directions of this rapidly evolving architecture.
Journal Article