Description:This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning.Features:Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities.Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective.Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system.Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems.Includes simulation examples in each chapter to reflect the engineering practice.This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Filter-Based Fault Diagnosis and Remaining Useful Life Prediction. To get started finding Filter-Based Fault Diagnosis and Remaining Useful Life Prediction, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
262
Format
PDF, EPUB & Kindle Edition
Publisher
—
Release
—
ISBN
1000835944
Filter-Based Fault Diagnosis and Remaining Useful Life Prediction
Description: This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning.Features:Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities.Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective.Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system.Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems.Includes simulation examples in each chapter to reflect the engineering practice.This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Filter-Based Fault Diagnosis and Remaining Useful Life Prediction. To get started finding Filter-Based Fault Diagnosis and Remaining Useful Life Prediction, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.