{"product_id":"condition-monitoring-with-vibration-signals-hosameldin-ahmed-9781119544623","title":"Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines","description":"\u003cp\u003e\u003cb\u003eProvides an extensive, up-to-date treatment of techniques used for machine condition monitoring\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eClear 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. \u003c\/p\u003e \u003cp\u003e\u003ci\u003eCondition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines\u003c\/i\u003e 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eCovers 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\u003c\/li\u003e \u003cli\u003eProvides new methods, including machine learning and compressive sampling, which offer significant improvements in accuracy with reduced computational costs\u003c\/li\u003e \u003cli\u003eFeatures learning algorithms that can be used for fault diagnosis and prognosis\u003c\/li\u003e \u003cli\u003eIncludes previously and recently developed dimensionality reduction techniques and classification algorithms\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eCondition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines\u003c\/i\u003e is an excellent book for research students, postgraduate students, industrial practitioners, and researchers.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Hosameldin Ahmed, Asoke K. Nandi\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1119544629\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781119544623\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley-IEEE Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/07\/2020\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 440\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.15lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.60h x 6.70w x 1.20d","brand":"Hosameldin Ahmed","offers":[{"title":"Hardcover","offer_id":44149470593279,"sku":"9781119544623","price":138.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_ebf41070-acb6-435d-9f95-79a92484862e.jpg?v=1688456900","url":"https:\/\/www.whiterainbookhouse.com\/products\/condition-monitoring-with-vibration-signals-hosameldin-ahmed-9781119544623","provider":"WR Book House","version":"1.0","type":"link"}