Predictive Analytics For Mechanical Engineering A Beginners Guide

Author : Parikshit N. Mahalle
Publisher : Springer Nature
ISBN 13 : 9819948509
Total Pages : 109 pages
Book Rating : 4.05/5 ( download)

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Download or read book Predictive Analytics for Mechanical Engineering: A Beginners Guide written by Parikshit N. Mahalle and published by Springer Nature. This book was released on 2023-08-16 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.

Author : Rohit Raja
Publisher : BoD – Books on Demand
ISBN 13 : 0854661492
Total Pages : 280 pages
Book Rating : 4.97/5 ( download)

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Download or read book Online Identity - An Essential Guide written by Rohit Raja and published by BoD – Books on Demand. This book was released on 2024-04-10 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's digital age, having a strong online identity has become more important than ever. This book aims to explore the many facets of this topic, from the importance of building a positive digital presence to managing one's online reputation and privacy. We want to cover different aspects of online identity. This book will focus on the importance of online identity and how it can affect our personal and professional lives. We also want to provide strategies for building a strong and authentic online identity, including tips on how to curate social media profiles and manage privacy settings. The book will also delve into the concept of digital footprints and the implications of our online actions, explore online reputation management and how to maintain a positive online image, and analyze the impact of online identity on mental health, including the effects of cyberbullying and social comparison. Finally, the book will look into the future of online identity, exploring emerging technologies such as blockchain-based identity solutions and virtual reality environments. With practical tips and insightful analysis, this book hopes to become an essential guide for anyone looking to navigate the complexities of online identity in the digital age.

Author : P Suresh
Publisher : CRC Press
ISBN 13 : 1000815749
Total Pages : 205 pages
Book Rating : 4.40/5 ( download)

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Download or read book Big Data Analytics in Smart Manufacturing written by P Suresh and published by CRC Press. This book was released on 2022-12-14 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significant objective of this edited book is to bridge the gap between smart manufacturing and big data by exploring the challenges and limitations. Companies employ big data technology in the manufacturing field to acquire data about the products. Manufacturing companies could gain a deep business insight by tracking customer details, monitoring fuel consumption, detecting product defects, and supply chain management. Moreover, the convergence of smart manufacturing and big data analytics currently suffers due to data privacy concern, short of qualified personnel, inadequate investment, long-term storage management of high-quality data. The technological advancement makes the data storage more accessible, cheaper and the convergence of these technologies seems to be more promising in the recent era. This book identified the innovative challenges in the industrial domains by integrating heterogeneous data sources such as structured data, semi-structures data, geo-spatial data, textual information, multimedia data, social networking data, etc. It promotes data-driven business modelling processes by adopting big data technologies in the manufacturing industry. Big data analytics is emerging as a promising discipline in the manufacturing industry to build the rigid industrial data platforms. Moreover, big data facilitates process automation in the complete lifecycle of product design and tracking. This book is an essential guide and reference since it synthesizes interdisciplinary theoretical concepts, definitions, and models, involved in smart manufacturing domain. It also provides real-world scenarios and applications, making it accessible to a wider interdisciplinary audience. Features The readers will get an overview about the smart manufacturing system which enables optimized manufacturing processes and benefits the users by increasing overall profit. The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems. The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefit their per capita income in better way. Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing. Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners.

Author : Vijay Kumar
Publisher : CRC Press
ISBN 13 : 1000332888
Total Pages : 231 pages
Book Rating : 4.89/5 ( download)

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Download or read book Predictive Analytics written by Vijay Kumar and published by CRC Press. This book was released on 2021-01-14 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.

Author : J. Carvill
Publisher : Butterworth-Heinemann
ISBN 13 : 148319373X
Total Pages : 353 pages
Book Rating : 4.31/5 ( download)

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Download or read book Mechanical Engineer's Data Handbook written by J. Carvill and published by Butterworth-Heinemann. This book was released on 2014-05-15 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechanical Engineer's Data Handbook provides a comprehensive yet concise set of information relevant in the practice of mechanical engineering. The book is comprised of eight chapters that cover the main disciplines of mechanical engineering. The text first details the strengths of materials, and then proceeds to discussing applied mechanics. Next, the book talks about thermodynamics and fluid mechanics. The fifth chapter presents manufacturing technology, which includes cutting tools, metal forming processes, and soldering and brazing. The next two chapters deal with engineering materials and measurements, respectively. The last chapter of the text presents general data, such as units, symbols, and fasteners. The book will be most useful to students and practitioners of mechanical engineering.

Author : Clifford Matthews
Publisher : John Wiley & Sons
ISBN 13 : 1119976227
Total Pages : 359 pages
Book Rating : 4.26/5 ( download)

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Download or read book Engineers' Data Book written by Clifford Matthews and published by John Wiley & Sons. This book was released on 2012-02-13 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: ENGINEERS’ DATA BOOK A completely revised and expanded fourth edition of this best-selling pocket guide. Engineers’ Data Book provides a concise and useful source of up-to-date essential information for the student or practising engineer. Updated, expanded edition Easy to use Handy reference guide Core technical data Clifford Matthews is an experienced engineer with worldwide knowledge of mechanical engineering.

Author : R. Keith Mobley
Publisher : Elsevier
ISBN 13 : 0080478697
Total Pages : 437 pages
Book Rating : 4.92/5 ( download)

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Download or read book An Introduction to Predictive Maintenance written by R. Keith Mobley and published by Elsevier. This book was released on 2002-10-24 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition of An Introduction to Predictive Maintenance helps plant, process, maintenance and reliability managers and engineers to develop and implement a comprehensive maintenance management program, providing proven strategies for regularly monitoring critical process equipment and systems, predicting machine failures, and scheduling maintenance accordingly. Since the publication of the first edition in 1990, there have been many changes in both technology and methodology, including financial implications, the role of a maintenance organization, predictive maintenance techniques, various analyses, and maintenance of the program itself. This revision includes a complete update of the applicable chapters from the first edition as well as six additional chapters outlining the most recent information available. Having already been implemented and maintained successfully in hundreds of manufacturing and process plants worldwide, the practices detailed in this second edition of An Introduction to Predictive Maintenance will save plants and corporations, as well as U.S. industry as a whole, billions of dollars by minimizing unexpected equipment failures and its resultant high maintenance cost while increasing productivity. A comprehensive introduction to a system of monitoring critical industrial equipment Optimize the availability of process machinery and greatly reduce the cost of maintenance Provides the means to improve product quality, productivity and profitability of manufacturing and production plants

Author : James Carvill
Publisher : CRC PressI Llc
ISBN 13 : 9780849310386
Total Pages : 345 pages
Book Rating : 4.85/5 ( download)

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Download or read book Mechanical Engineers' Data Handbook written by James Carvill and published by CRC PressI Llc. This book was released on 2001-04-01 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Michael Bowles
Publisher : John Wiley & Sons
ISBN 13 : 1118961749
Total Pages : 361 pages
Book Rating : 4.42/5 ( download)

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Download or read book Machine Learning in Python written by Michael Bowles and published by John Wiley & Sons. This book was released on 2015-04-27 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language. Predict outcomes using linear and ensemble algorithm families Build predictive models that solve a range of simple and complex problems Apply core machine learning algorithms using Python Use sample code directly to build custom solutions Machine learning doesn't have to be complex and highly specialized. Python makes this technology more accessible to a much wider audience, using methods that are simpler, effective, and well tested. Machine Learning in Python shows you how to do this, without requiring an extensive background in math or statistics.

Author : Dhruba J. Syam
Publisher :
ISBN 13 : 9781032516127
Total Pages : 0 pages
Book Rating : 4.27/5 ( download)

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Download or read book Mechanical Engineering Practices in Industry written by Dhruba J. Syam and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: