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This second edition of An Introduction to Predictive Maintenance helps plant, process, maintenance and reliability managers and;
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-step instructions to set up your technical systems, from your equipment and fleet to your materials and assemblies. If you're looking to;
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Predictive and Optimised Life-Cycle Management sets out methodologies to meet the demands of the current trend towards sustainable civil;
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Predictive and Optimised Life-Cycle Management sets out methodologies to meet the demands of the current trend towards sustainable civil;
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decisions on future infrastructure conditions. This paper develops one such method by using linear regression and time series analysis to develop a;
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engineers and technicians looking for practical solutions to predictive maintenance problems. However, the book will also be useful to;
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, and psychological -- thereby enabling readers to have a balanced view and understanding of what is happening in their organizations;
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their business application Explore how to successfully apply predictive analysis through case studies and examples Today s businesses are driven;
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forecasting, clustering, and more-and learn how to get SAP Predictive Analytics up and running. Discover the essential tools, from Predictive Factory;
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This book covers challenges and solutions in establishing Industry 4.0 standards for Internet of Things. It proposes a clear view about the;
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updated to cover the latest technologies and methods, Maintenance Engineering Handbook, Eighth Edition offers in-depth details on identifying and;
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maintenance is performed with the intent of avoiding failures, production costs, losses and safety violations. Corrective maintenance is applied to;
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-by-step guide to predictive modeling including lots of tips, tricks, and best practices Learn how to use popular predictive modeling;
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Machinery Vibration Analysis and Predictive Maintenance provides a detailed examination of the detection, location and diagnosis of faults;
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include individuals' skills, technologies, tools, and processes. To create a successful analytics program or project to gain forward-looking;
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, machine learning and artificial intelligence, to analyse current data and make predictions about unknown future events. In business terms, this;
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approach starts by defining the problem and moves on to identifying relevant data. We will also be performing data preparation, exploring and;
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This Book * A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices * Get to grips with the basics;
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Predictive analytics, data mining and big data are key topics for organizations who want to leverage the ever increasing amounts;
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immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven;
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, propensity models, and churn and predictive maintenance models. The authors use task oriented descriptions and concrete end-to-end examples to;
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Complete with equations, illustrations, and tables, this book covers the basic theory of electric power transformers, its application to;
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Create and run a human resource analytics project with confidence For any human resource professional that wants to harness the power;
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The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers;
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The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers;
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and held in September 2020. Due to the COVID-19 pandemic the workshops were held online. The 21 full papers and 3 short papers presented;
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of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive;
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