Найти книгу: "Condition Monitoring with Vibration Signals"

Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. It also presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance. Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines starts by introducing readers to Vibration Analysis Techniques and Machine Condition Monitoring (MCM). It then offers readers sections covering: Rotating Machine Condition Monitoring using Learning Algorithms; Classification Algorithms; and New Fault Diagnosis Frameworks designed for MCM. Readers will learn signal processing in the time-frequency domain, methods for linear subspace learning, and the basic principles of the learning method Artificial Neural Network (ANN). They will also discover recent trends of deep learning in the field of machine condition monitoring, new feature learning frameworks based on compressive sampling, subspace learning techniques for machine condition monitoring, and much more. Covers the fundamental as well as the state-of-the-art approaches to machine condition monitoring—guiding readers from the basics of rotating machines to the generation of knowledge using vibration signals Provides new methods, including machine learning and compressive sampling, which offer significant improvements in accuracy with reduced computational costs Features learning algorithms that can be used for fault diagnosis and prognosis Includes previously and recently developed dimensionality reduction techniques and classification algorithms Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines is an excellent book for research students, postgraduate students, industrial practitioners, and researchers.

LISTENING . . . THE KEY TO BECOMING A TRANSFORMATIVE SCHOOL LEADER The Listening Leader is a practical guide that will inspire school, district, and teacher leaders to make substantive change and increase equitable student outcomes. Rooted in the values of equity, relationships, and listening, this luminous book helps reimagine what is possible in education today. Drawing from more than twenty years of experience in public schools, Shane Safir incorporates hands-on strategies and powerful stories to show us how to leverage one of the most vital tools of leadership: listening. As a Listening Leader you'll feel more confident in these core competencies: Cultivating relationships with stakeholders Addressing equity challenges in your organization Gathering student, staff, and parent perspectives as rich data on improvement Fostering a thriving culture of collaboration and innovation The Listening Leader offers a much-needed leadership model to transform every facet of school life, and most importantly, to shape our schools into equitable places of learning. As Michael Fullan writes in the Foreword, «Read it, act on it, and reap the benefits for all.» «This book is a 'must have' for any leader trying to move the needle on equity. Drawing from her lived experience as a principal and leadership coach, Safir offers stories that give insight and practical strategies that get results. It's one you'll keep coming back to.» —Zaretta Hammond, author of Culturally Responsive Teaching and the Brain « The Listening Leader immediately changed the way I interact with students, teachers, families and community members.» —Tamara Friedman, assistant principal, Berkeley High School «Shane Safir has written a brilliant book. As engaging as it is informative and as revelatory as it is relevant. It is a must-read for school leaders and those who aspire to lead.» —Chris Emdin, associate professor of science education, Teachers College, Columbia University; author of For White Folks Who Teach In the Hood and the Rest of Ya'll too

The automatic filter against bad, irrelevant, outdated investing information Cocktail Investing takes a look at investing in a different, catalyst-driven light to form a more cohesive, globally relevant investing lens. With a focus on the intersection of economics, demographics, psychographics, technology, policy, and more, this book helps readers build a more profitable portfolio based on what they see everyday rather than following the herd on Wall Street. Industry experts expose the actionable, observable, and recognizable trends that surround us daily, and show readers how to recognize these trends for themselves and translate them into wiser investing decisions without getting sidetracked by media clutter and bad advice. Given today's ever-increasing deluge of information, the average investor faces the challenge of sorting through the babble to decipher what it means, and learn how, where, and why they should be investing given the current economic environment and the uncertain future. This book provides an 'off' switch, helping readers apply an automatic mental filter to the incoming cacophony, to filter out only what they can use for smarter money moves. Read the economy like a professional investor Filter out useless and misleading data Recognize 'go' signals, and identify the beneficiaries Identify cyclical and structural changes that have reshaped business models The economic climate has changed drastically, and traditional practices are no longer getting results. Modern investing requires a whole new approach, and Cocktail Investing is the clear, insightful guide for putting it into action.

Getting mixed signals in your signals and systems course? The concepts covered in a typical signals and systems course are often considered by engineering students to be some of the most difficult to master. Thankfully, Signals & Systems For Dummies is your intuitive guide to this tricky course, walking you step-by-step through some of the more complex theories and mathematical formulas in a way that is easy to understand. From Laplace Transforms to Fourier Analyses, Signals & Systems For Dummies explains in plain English the difficult concepts that can trip you up. Perfect as a study aid or to complement your classroom texts, this friendly, hands-on guide makes it easy to figure out the fundamentals of signal and system analysis. Serves as a useful tool for electrical and computer engineering students looking to grasp signal and system analysis Provides helpful explanations of complex concepts and techniques related to signals and systems Includes worked-through examples of real-world applications using Python, an open-source software tool, as well as a custom function module written for the book Brings you up-to-speed on the concepts and formulas you need to know Signals & Systems For Dummies is your ticket to scoring high in your introductory signals and systems course.