Share

Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

2023-02-10 Technology & Engineering
Download Filter-Based Fault Diagnosis and Remaining Useful Life Prediction PDF Online Free

Author :
Release : 2023-02-10
Genre : Technology & Engineering
Kind : eBook
Book Rating : 944/5 ( reviews)

GET EBOOK


Book Synopsis Filter-Based Fault Diagnosis and Remaining Useful Life Prediction by : Yong Zhang

Download or read book Filter-Based Fault Diagnosis and Remaining Useful Life Prediction written by Yong Zhang. This book was released on 2023-02-10. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery

2016-11-02 Technology & Engineering
Download Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery PDF Online Free

Author :
Release : 2016-11-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 351/5 ( reviews)

GET EBOOK


Book Synopsis Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery by : Yaguo Lei

Download or read book Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery written by Yaguo Lei. This book was released on 2016-11-02. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery provides a comprehensive introduction of intelligent fault diagnosis and RUL prediction based on the current achievements of the author's research group. The main contents include multi-domain signal processing and feature extraction, intelligent diagnosis models, clustering algorithms, hybrid intelligent diagnosis strategies, and RUL prediction approaches, etc. This book presents fundamental theories and advanced methods of identifying the occurrence, locations, and degrees of faults, and also includes information on how to predict the RUL of rotating machinery. Besides experimental demonstrations, many application cases are presented and illustrated to test the methods mentioned in the book. This valuable reference provides an essential guide on machinery fault diagnosis that helps readers understand basic concepts and fundamental theories. Academic researchers with mechanical engineering or computer science backgrounds, and engineers or practitioners who are in charge of machine safety, operation, and maintenance will find this book very useful. Provides a detailed background and roadmap of intelligent diagnosis and RUL prediction of rotating machinery, involving fault mechanisms, vibration characteristics, health indicators, and diagnosis and prognostics Presents basic theories, advanced methods, and the latest contributions in the field of intelligent fault diagnosis and RUL prediction Includes numerous application cases, and the methods, algorithms, and models introduced in the book are demonstrated by industrial experiences

Fault Diagnosis and Failure Prognostics of Lithium-ion Battery Based on Least Squares Support Vector Machine and Memory Particle Filter Framework

2015 Failure analysis (Engineering)
Download Fault Diagnosis and Failure Prognostics of Lithium-ion Battery Based on Least Squares Support Vector Machine and Memory Particle Filter Framework PDF Online Free

Author :
Release : 2015
Genre : Failure analysis (Engineering)
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Fault Diagnosis and Failure Prognostics of Lithium-ion Battery Based on Least Squares Support Vector Machine and Memory Particle Filter Framework by : Mohammed Ali Lskaafi

Download or read book Fault Diagnosis and Failure Prognostics of Lithium-ion Battery Based on Least Squares Support Vector Machine and Memory Particle Filter Framework written by Mohammed Ali Lskaafi. This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt: A novel data driven approach is developed for fault diagnosis and remaining useful life (RUL) prognostics for lithium-ion batteries using Least Square Support Vector Machine (LS-SVM) and Memory-Particle Filter (M-PF). Unlike traditional data-driven models for capacity fault diagnosis and failure prognosis, which require multidimensional physical characteristics, the proposed algorithm uses only two variables: Energy Efficiency (EE), and Work Temperature. The aim of this novel framework is to improve the accuracy of incipient and abrupt faults diagnosis and failure prognosis. First, the LSSVM is used to generate residual signal based on capacity fade trends of the Li-ion batteries. Second, adaptive threshold model is developed based on several factors including input, output model error, disturbance, and drift parameter. The adaptive threshold is used to tackle the shortcoming of a fixed threshold. Third, the M-PF is proposed as the new method for failure prognostic to determine Remaining Useful Life (RUL). The M-PF is based on the assumption of the availability of real-time observation and historical data, where the historical failure data can be used instead of the physical failure model within the particle filter. The feasibility of the framework is validated using Li-ion battery prognostic data obtained from the National Aeronautic and Space Administration (NASA) Ames Prognostic Center of Excellence (PCoE). The experimental results show the following: (1) fewer data dimensions for the input data are required compared to traditional empirical models; (2) the proposed diagnostic approach provides an effective way of diagnosing Li-ion battery fault; (3) the proposed prognostic approach can predict the RUL of Li-ion batteries with small error, and has high prediction accuracy; and, (4) the proposed prognostic approach shows that historical failure data can be used instead of a physical failure model in the particle filter.

Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic

Download Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic PDF Online Free

Author :
Release :
Genre :
Kind : eBook
Book Rating : 352/5 ( reviews)

GET EBOOK


Book Synopsis Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic by : Bingyan Chen

Download or read book Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic written by Bingyan Chen. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems

2023-09-10 Technology & Engineering
Download Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems PDF Online Free

Author :
Release : 2023-09-10
Genre : Technology & Engineering
Kind : eBook
Book Rating : 377/5 ( reviews)

GET EBOOK


Book Synopsis Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems by : Weihua Li

Download or read book Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems written by Weihua Li. This book was released on 2023-09-10. Available in PDF, EPUB and Kindle. Book excerpt: Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruction; and complex electro-mechanical system reliability assessment and health maintenance based on running state info. These theories and methods are integrated with practical industrial applications, which can help the readers get into the field more smoothly and provide an important reference for their study, research, and engineering practice.

You may also like...