A Text Book of Electrical Machines

A D.C. machine which is totally enclosed has a temperature rise of 25 ° C after half an hour and 40 ° C after one hour on full - load . Determine the temperature rise after two hours on load . If a fan is fitted driving cooling air over ...

Author: Rajput

Publisher: Firewall Media

ISBN: 8170088593

Category: Electric machinery

Page: 1352

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Design And Testing Of Electrical Machines

The equation for the temperature rise is given by 0, z 0,, (1—e_('/T)) If e-l/T =k, then the equation can be simplified to o, = 0,, (1-k') (14.2) when t: 1, 0, : 0,,(1— k) t: 2,192 = 19,,(1 _ k2) 6—2—1+k;k- 62701 91 91 The maximum ...

Author: M. V. Deshpande

Publisher: PHI Learning Pvt. Ltd.

ISBN: 9788120336452

Category: Electric machinery

Page: 495

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The basic theory, principle of operation and characteristics of transformers, three-phase induction motors, single-phase induction motors, synchronous machines and dc machines are dealt with in Appendices to provide the background for the design of these machines.

Dawn of the Code War

America's Battle Against Russia, China, and the Rising Global Cyber Threat John P. Carlin, Garrett M. Graff. 72. 65. Steve Schroeder, The Lure: ... Thomas Rid, Rise of the Machines: A Cybernetic History (W. W. Norton, 2017), 309. 68.

Author: John P. Carlin

Publisher: Hachette UK

ISBN: 9781541773813

Category: Computers

Page: 480

View: 272

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The inside story of how America's enemies launched a cyber war against us-and how we've learned to fight back With each passing year, the internet-linked attacks on America's interests have grown in both frequency and severity. Overmatched by our military, countries like North Korea, China, Iran, and Russia have found us vulnerable in cyberspace. The "Code War" is upon us. In this dramatic book, former Assistant Attorney General John P. Carlin takes readers to the front lines of a global but little-understood fight as the Justice Department and the FBI chases down hackers, online terrorist recruiters, and spies. Today, as our entire economy goes digital, from banking to manufacturing to transportation, the potential targets for our enemies multiply. This firsthand account is both a remarkable untold story and a warning of dangers yet to come.

Design of Rotating Electrical Machines

524 Design of Rotating Electrical Machines The lifetime of insulation can be estimated by statistical methods only. However, over a wide temperature range, the lifetime shortens exponentially with the temperature rise Θ of the machine.

Author: Juha Pyrhonen

Publisher: John Wiley & Sons

ISBN: 9781118701652

Category: Technology & Engineering

Page: 616

View: 254

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In one complete volume, this essential reference presents an in-depth overview of the theoretical principles and techniques of electrical machine design. This timely new edition offers up-to-date theory and guidelines for the design of electrical machines, taking into account recent advances in permanent magnet machines as well as synchronous reluctance machines. New coverage includes: Brand new material on the ecological impact of the motors, covering the eco-design principles of rotating electrical machines An expanded section on the design of permanent magnet synchronous machines, now reporting on the design of tooth-coil, high-torque permanent magnet machines and their properties Large updates and new material on synchronous reluctance machines, air-gap inductance, losses in and resistivity of permanent magnets (PM), operating point of loaded PM circuit, PM machine design, and minimizing the losses in electrical machines> End-of-chapter exercises and new direct design examples with methods and solutions to real design problems> A supplementary website hosts two machine design examples created with MATHCAD: rotor surface magnet permanent magnet machine and squirrel cage induction machine calculations. Also a MATLAB code for optimizing the design of an induction motor is provided Outlining a step-by-step sequence of machine design, this book enables electrical machine designers to design rotating electrical machines. With a thorough treatment of all existing and emerging technologies in the field, it is a useful manual for professionals working in the diagnosis of electrical machines and drives. A rigorous introduction to the theoretical principles and techniques makes the book invaluable to senior electrical engineering students, postgraduates, researchers and university lecturers involved in electrical drives technology and electromechanical energy conversion.

Electric Machines Steady State Operation

Temperature Rise . Losses in electric machines are dissipated as heat and result in a temperature rise in the machine . The temperature rise depends on the rate of heat generation , heat transfer , and thermal capacity .

Author: I. Boldea

Publisher: CRC Press

ISBN: 0891169911

Category: Technology & Engineering

Page: 256

View: 102

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With numerous chapter problems and worked-out examples, this book presents a general introduction to electric machines, including their rating and certain economic considerations. Using a tradition presentation, the author includes a discussion of magnetic circuits and transformers, conventional dc, induction and synchronous machines. He closes with coverage of dynamics of electromechanical systems and incremental-motion electromechanical systems.

Electrical machine design

Heating—The temperature rise of the stator of a revolving field alternator is limited in the same way as that of the armature of a D.-C. machine. For stator cores, built with iron of the same grade as used in D.-C. machines and of a ...

Author: Alexander Gray

Publisher: Рипол Классик

ISBN: 9785879503173

Category: History

Page: 523

View: 225

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Artificial Intelligence and Data Analytics for Energy Exploration and Production

Artificial lift selection using machine learning. In International Petroleum Technology Conference, IPTC-19423, Beijing, China, 26-28 March. P2 Energy Solutions, (2016). “Rise of the Machines : How to Use Machine Learning and Artificial ...

Author: Fred Aminzadeh

Publisher: John Wiley & Sons

ISBN: 9781119879879

Category: Science

Page: 602

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ARTIFICAL INTELLIGENCE AND DATA ANALYTICS FOR ENERGY EXPLORATION AND PRODUCTION This groundbreaking new book is written by some of the foremost authorities on the application of data science and artificial intelligence techniques in exploration and production in the energy industry, covering the most comprehensive and updated new processes, concepts, and practical applications in the field. The book provides an in-depth treatment of the foundations of Artificial Intelligence (AI) Machine Learning, and Data Analytics (DA). It also includes many of AI-DA applications in oil and gas reservoirs exploration, development, and production. The book covers the basic technical details on many tools used in “smart oil fields”. This includes topics such as pattern recognition, neural networks, fuzzy logic, evolutionary computing, expert systems, artificial intelligence machine learning, human-computer interface, natural language processing, data analytics and next-generation visualization. While theoretical details will be kept to the minimum, these topics are introduced from oil and gas applications viewpoints. In this volume, many case histories from the recent applications of intelligent data to a number of different oil and gas problems are highlighted. The applications cover a wide spectrum of practical problems from exploration to drilling and field development to production optimization, artificial lift, and secondary recovery. Also, the authors demonstrate the effectiveness of intelligent data analysis methods in dealing with many oil and gas problems requiring combining machine and human intelligence as well as dealing with linguistic and imprecise data and rules.

Towards an International Political Economy of Artificial Intelligence

Rise. of. the. Machines. There have been many “AI winters” over the last half-century. ... Consequently, machine learning is advancing rapidly, doubling in computational power every three and a half months, much faster than Moore's Law ...

Author: Tugrul Keskin

Publisher: Springer Nature

ISBN: 9783030744205

Category: Political Science

Page: 258

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This volume seeks to leverage academic interdisciplinarity to develop insight into how Artificial intelligence (AI), the latest GPT to emerge, may influence or radically change socio-political norms, practices, and institutions. AI may best be understood as a predictive technology. “Prediction is the process of filling in missing information. Prediction takes information you have, often called ‘data’, and uses it to generate information you don’t have” (Agrawal, Gans, and Goldfarb 2018, 13; also see Mayer-Schonberger and Ramge 2018). AI makes prediction cheap because the cost of information is now close to zero. Cheap prediction through AI technologies are radically altering how we govern ourselves, interact with each other, and sustain society. Contributors to this volume represent the academic disciplines of Sociology and Political Science working within a diverse set of intra-disciplinary fields that when combined, yield novel insights into the following questions guiding this volume: How might AI transform people? How might AI transform socio-political practices? How might AI transform socio-political institutions?

The Cyber Risk Handbook

He summarized the 2003 film, Rise of the Machines, the third film in the Terminator series: The president faced pressure to activate Skynet to stop a computer virus that was infecting computers all over the world.

Author: Domenic Antonucci

Publisher: John Wiley & Sons

ISBN: 9781119309727

Category: Business & Economics

Page: 448

View: 819

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Actionable guidance and expert perspective for real-world cybersecurity The Cyber Risk Handbook is the practitioner's guide to implementing, measuring and improving the counter-cyber capabilities of the modern enterprise. The first resource of its kind, this book provides authoritative guidance for real-world situations, and cross-functional solutions for enterprise-wide improvement. Beginning with an overview of counter-cyber evolution, the discussion quickly turns practical with design and implementation guidance for the range of capabilities expected of a robust cyber risk management system that is integrated with the enterprise risk management (ERM) system. Expert contributors from around the globe weigh in on specialized topics with tools and techniques to help any type or size of organization create a robust system tailored to its needs. Chapter summaries of required capabilities are aggregated to provide a new cyber risk maturity model used to benchmark capabilities and to road-map gap-improvement. Cyber risk is a fast-growing enterprise risk, not just an IT risk. Yet seldom is guidance provided as to what this means. This book is the first to tackle in detail those enterprise-wide capabilities expected by Board, CEO and Internal Audit, of the diverse executive management functions that need to team up with the Information Security function in order to provide integrated solutions. Learn how cyber risk management can be integrated to better protect your enterprise Design and benchmark new and improved practical counter-cyber capabilities Examine planning and implementation approaches, models, methods, and more Adopt a new cyber risk maturity model tailored to your enterprise needs The need to manage cyber risk across the enterprise—inclusive of the IT operations—is a growing concern as massive data breaches make the news on an alarmingly frequent basis. With a cyber risk management system now a business-necessary requirement, practitioners need to assess the effectiveness of their current system, and measure its gap-improvement over time in response to a dynamic and fast-moving threat landscape. The Cyber Risk Handbook brings the world's best thinking to bear on aligning that system to the enterprise and vice-a-versa. Every functional head of any organization must have a copy at-hand to understand their role in achieving that alignment.

Keras to Kubernetes

The Journey of a Machine Learning Model to Production Dattaraj Rao. Rise. of. the. Machines. There is a parallel data revolution happening in the industrial world with even bigger outcomes. This is a whole new Internet being championed ...

Author: Dattaraj Rao

Publisher: John Wiley & Sons

ISBN: 9781119564874

Category: Computers

Page: 320

View: 854

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Build a Keras model to scale and deploy on a Kubernetes cluster We have seen an exponential growth in the use of Artificial Intelligence (AI) over last few years. AI is becoming the new electricity and is touching every industry from retail to manufacturing to healthcare to entertainment. Within AI, we're seeing a particular growth in Machine Learning (ML) and Deep Learning (DL) applications. ML is all about learning relationships from labeled (Supervised) or unlabeled data (Unsupervised). DL has many layers of learning and can extract patterns from unstructured data like images, video, audio, etc. em style="box-sizing: border-box;"Keras to Kubernetes: The Journey of a Machine Learning Model to Production takes you through real-world examples of building DL models in Keras for recognizing product logos in images and extracting sentiment from text. You will then take that trained model and package it as a web application container before learning how to deploy this model at scale on a Kubernetes cluster. You will understand the different practical steps involved in real-world ML implementations which go beyond the algorithms. • Find hands-on learning examples • Learn to uses Keras and Kubernetes to deploy Machine Learning models • Discover new ways to collect and manage your image and text data with Machine Learning • Reuse examples as-is to deploy your models • Understand the ML model development lifecycle and deployment to production If you're ready to learn about one of the most popular DL frameworks and build production applications with it, you've come to the right place!