Data Driven Remaining Useful Life Prognosis Techniques

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Data-Driven Remaining Useful Life Prognosis Techniques

Author : Xiao-Sheng Si,Zheng-Xin Zhang,Chang-Hua Hu
Publisher : Springer
Page : 430 pages
File Size : 41,9 Mb
Release : 2017-01-20
Category : Technology & Engineering
ISBN : 9783662540305

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Data-Driven Remaining Useful Life Prognosis Techniques by Xiao-Sheng Si,Zheng-Xin Zhang,Chang-Hua Hu Pdf

This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic data-driven remaining useful life prognosis theory systematically and in detail. The emphasis of the book is on the stochastic models, methods and applications employed in remaining useful life prognosis. It includes a wealth of degradation monitoring experiment data, practical prognosis methods for remaining useful life in various cases, and a series of applications incorporated into prognostic information in decision-making, such as maintenance-related decisions and ordering spare parts. It also highlights the latest advances in data-driven remaining useful life prognosis techniques, especially in the contexts of adaptive prognosis for linear stochastic degrading systems, nonlinear degradation modeling based prognosis, residual storage life prognosis, and prognostic information-based decision-making.

Through-life Engineering Services

Author : Louis Redding,Rajkumar Roy
Publisher : Springer
Page : 457 pages
File Size : 52,7 Mb
Release : 2014-12-26
Category : Technology & Engineering
ISBN : 9783319121116

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Through-life Engineering Services by Louis Redding,Rajkumar Roy Pdf

Demonstrating the latest research and analysis in the area of through-life engineering services (TES), this book utilizes case studies and expert analysis from an international array of practitioners and researchers – who together represent multiple manufacturing sectors: aerospace, railway and automotive – to maximize reader insights into the field of through-life engineering services. As part of the EPSRC Centre in Through-life Engineering Services program to support the academic and industrial community, this book presents an overview of non-destructive testing techniques and applications and provides the reader with the information needed to assess degradation and possible automation of through-life engineering service activities . The latest developments in maintenance-repair-overhaul (MRO) are presented with emphasis on cleaning technologies, repair and overhaul approaches and planning and digital assistance. The impact of these technologies on sustainable enterprises is also analyzed. This book will help to support the existing TES community and will provide future studies with a strong base from which to analyze and apply techn9olgical trends to real world examples.

Prognostics and Remaining Useful Life (RUL) Estimation

Author : Diego Galar,Kai Goebel,Peter Sandborn,Uday Kumar
Publisher : CRC Press
Page : 489 pages
File Size : 43,9 Mb
Release : 2021-12-15
Category : Technology & Engineering
ISBN : 9781000518269

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Prognostics and Remaining Useful Life (RUL) Estimation by Diego Galar,Kai Goebel,Peter Sandborn,Uday Kumar Pdf

Maintenance combines various methods, tools, and techniques in a bid to reduce maintenance costs while increasing the reliability, availability, and security of equipment. Condition-based maintenance (CBM) is one such method, and prognostics forms a key element of a CBM program based on mathematical models for predicting remaining useful life (RUL). Prognostics and Remaining Useful Life (RUL) Estimation: Predicting with Confidence compares the techniques and models used to estimate the RUL of different assets, including a review of the relevant literature on prognostic techniques and their use in the industrial field. This book describes different approaches and prognosis methods for different assets backed up by appropriate case studies. FEATURES Presents a compendium of RUL estimation methods and technologies used in predictive maintenance Describes different approaches and prognosis methods for different assets Includes a comprehensive compilation of methods from model-based and data-driven to hybrid Discusses the benchmarking of RUL estimation methods according to accuracy and uncertainty, depending on the target application, the type of asset, and the forecast performance expected Contains a toolset of methods and a way of deployment aimed at a versatile audience This book is aimed at professionals, senior undergraduates, and graduate students in all interdisciplinary engineering streams that focus on prognosis and maintenance.

2021 Global Reliability and Prognostics and Health Management (PHM Nanjing)

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 46,7 Mb
Release : 2021-10-15
Category : Electronic
ISBN : 1665429798

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2021 Global Reliability and Prognostics and Health Management (PHM Nanjing) by IEEE Staff Pdf

The purpose of GlobalRel & PHM Nanjing 2021 conference is to serve as a premier interdisciplinary forum for researchers, scientists and scholars in the domains of aeronautics and astronautics, energy and power systems, process industries, computers and telecommunications, industrial automation, to present and discuss the most recent innovations, trends, concerns, challenges and solutions in terms of Engineering Reliability and PHM

Advances in Intelligent Data Analysis XVIII

Author : Michael R. Berthold,Ad Feelders,Georg Krempl
Publisher : Springer
Page : 588 pages
File Size : 55,8 Mb
Release : 2020-04-02
Category : Computers
ISBN : 3030445836

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Advances in Intelligent Data Analysis XVIII by Michael R. Berthold,Ad Feelders,Georg Krempl Pdf

This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.

Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery

Author : Yaguo Lei
Publisher : Butterworth-Heinemann
Page : 376 pages
File Size : 43,5 Mb
Release : 2016-11-02
Category : Technology & Engineering
ISBN : 9780128115350

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Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery by Yaguo Lei Pdf

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

Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

Author : Yong Zhang,Zidong Wang,Ye Yuan
Publisher : CRC Press
Page : 290 pages
File Size : 50,8 Mb
Release : 2023-02-09
Category : Technology & Engineering
ISBN : 9781000835946

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Filter-Based Fault Diagnosis and Remaining Useful Life Prediction by Yong Zhang,Zidong Wang,Ye Yuan Pdf

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.

Industrial Data Analytics for Diagnosis and Prognosis

Author : Shiyu Zhou,Yong Chen
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 44,6 Mb
Release : 2021-08-31
Category : Mathematics
ISBN : 9781119666301

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Industrial Data Analytics for Diagnosis and Prognosis by Shiyu Zhou,Yong Chen Pdf

Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model In Industrial Data Analytics for Diagnosis and Prognosis - A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong Chen deliver a rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis. In the book’s two parts, general statistical concepts and useful theory are described and explained, as are industrial diagnosis and prognosis methods. The accomplished authors describe and model fixed effects, random effects, and variation in univariate and multivariate datasets and cover the application of the random effects approach to diagnosis of variation sources in industrial processes. They offer a detailed performance comparison of different diagnosis methods before moving on to the application of the random effects approach to failure prognosis in industrial processes and systems. In addition to presenting the joint prognosis model, which integrates the survival regression model with the mixed effects regression model, the book also offers readers: A thorough introduction to describing variation of industrial data, including univariate and multivariate random variables and probability distributions Rigorous treatments of the diagnosis of variation sources using PCA pattern matching and the random effects model An exploration of extended mixed effects model, including mixture prior and Kalman filtering approach, for real time prognosis A detailed presentation of Gaussian process model as a flexible approach for the prediction of temporal degradation signals Ideal for senior year undergraduate students and postgraduate students in industrial, manufacturing, mechanical, and electrical engineering, Industrial Data Analytics for Diagnosis and Prognosis is also an indispensable guide for researchers and engineers interested in data analytics methods for system diagnosis and prognosis.

Structural Health Monitoring (SHM) of Civil Structures

Author : Gangbing Song,Chuji Wang,Bo Wang
Publisher : MDPI
Page : 501 pages
File Size : 40,9 Mb
Release : 2018-04-20
Category : Electronic book
ISBN : 9783038427834

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Structural Health Monitoring (SHM) of Civil Structures by Gangbing Song,Chuji Wang,Bo Wang Pdf

This book is a printed edition of the Special Issue "Structural Health Monitoring (SHM) of Civil Structures" that was published in Applied Sciences

Modeling Remaining Useful Life Dynamics in Reliability Engineering

Author : Pierre Dersin
Publisher : CRC Press
Page : 452 pages
File Size : 47,5 Mb
Release : 2023-06-06
Category : Technology & Engineering
ISBN : 9781000886900

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Modeling Remaining Useful Life Dynamics in Reliability Engineering by Pierre Dersin Pdf

This book applies traditional reliability engineering methods to prognostics and health management (PHM), looking at remaining useful life (RUL) and its dynamics, to enable engineers to effectively and accurately predict machinery and systems useful lifespan. One of the key tools used in defining and implementing predictive maintenance policies is the RUL indicator. However, it is essential to account for the uncertainty inherent to the RUL, as otherwise predictive maintenance strategies can be incorrect. This can cause high costs or, alternatively, inappropriate decisions. Methods used to estimate RUL are numerous and diverse and, broadly speaking, fall into three categories: model-based, data-driven, or hybrid, which uses both. The author starts by building on established theory and looks at traditional reliability engineering methods through their relation to PHM requirements and presents the concept of RUL loss rate. Following on from this, the author presents an innovative general method for defining a nonlinear transformation enabling the mean residual life to become a linear function of time. He applies this method to frequently encountered time-to-failure distributions, such as Weibull and gamma, and degradation processes. Latest research results, including the author’s (some of which were previously unpublished), are drawn upon and combined with very classical work. Statistical estimation techniques are then presented to estimate RUL from field data, and risk-based methods for maintenance optimization are described, including the use of RUL dynamics for predictive maintenance. The book ends with suggestions for future research, including links with machine learning and deep learning. The theory is illustrated by industrial examples. Each chapter is followed by a series of exercises. FEATURES Provides both practical and theoretical background of RUL Describes how the uncertainty of RUL can be related to RUL loss rate Provides new insights into time-to-failure distributions Offers tools for predictive maintenance This book will be of interest to engineers, researchers and students in reliability engineering, prognostics and health management, and maintenance management.

Human Systems Engineering and Design

Author : Tareq Ahram,Waldemar Karwowski,Redha Taiar
Publisher : Springer
Page : 1152 pages
File Size : 44,5 Mb
Release : 2018-10-16
Category : Technology & Engineering
ISBN : 9783030020538

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Human Systems Engineering and Design by Tareq Ahram,Waldemar Karwowski,Redha Taiar Pdf

This book focuses on novel design and systems engineering approaches, including theories and best practices, for promoting a better integration of people and engineering systems. It covers a range of hot topics related to: development of activity-centered and user-centered systems; interface design and human-computer interaction; usability and user experience; cooperative, participatory and contextual models; emergent properties of human behavior; innovative materials in manufacturing, and many more. Particular emphasis is placed on applications in sports, healthcare, and medicine. The book, which gathers selected papers presented at the 1st International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED 2018), held on October 25-27, 2018, at CHU-Université de Reims Champagne-Ardenne, France, provides researchers, practitioners and program managers with a snapshot of the state-of-the-art and current challenges in the field of human systems engineering and design.

Integration of Cloud Computing with Internet of Things

Author : Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 53,9 Mb
Release : 2021-03-08
Category : Computers
ISBN : 9781119769309

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Integration of Cloud Computing with Internet of Things by Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty Pdf

The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics. Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.

Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

Author : Yaguo Lei,Naipeng Li,Xiang Li
Publisher : Springer Nature
Page : 292 pages
File Size : 42,7 Mb
Release : 2022-10-19
Category : Technology & Engineering
ISBN : 9789811691317

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Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems by Yaguo Lei,Naipeng Li,Xiang Li Pdf

This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remaining useful life (RUL) prediction, etc., are focused on in the book. The contents are valuable and interesting to attract academic researchers, practitioners, and students in the field of prognostics and health management (PHM). Essential guidelines are provided for readers to understand, explore, and implement the presented methodologies, which promote further development of PHM in the big data era. Features: Addresses the critical challenges in the field of PHM at present Presents both fundamental and cutting-edge research theories on intelligent fault diagnosis and prognosis Provides abundant experimental validations and engineering cases of the presented methodologies

Reliability and Statistics in Transportation and Communication

Author : Igor Kabashkin,Irina Yatskiv,Olegas Prentkovskis
Publisher : Springer Nature
Page : 717 pages
File Size : 52,9 Mb
Release : 2020-03-28
Category : Technology & Engineering
ISBN : 9783030446109

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Reliability and Statistics in Transportation and Communication by Igor Kabashkin,Irina Yatskiv,Olegas Prentkovskis Pdf

This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place in Riga, Latvia on October 16 – 19, 2019. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.

Entropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring

Author : Cemal Basaran
Publisher : MDPI
Page : 238 pages
File Size : 46,5 Mb
Release : 2021-01-13
Category : Technology & Engineering
ISBN : 9783039438075

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Entropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring by Cemal Basaran Pdf

Traditionally fatigue, fracture, damage mechanics are predictions are based on empirical curve fitting models based on experimental data. However, when entropy is used as the metric for degradation of the material, the modeling process becomes physics based rather than empirical modeling. Because, entropy generation in a material can be calculated from the fundamental equation of thematerial. This collection of manuscripts is about using entropy for "Fatigue, Fracture, Failure Prediction and Structural Health Monitoring". The theoretical paper in the collection provides the mathematical and physics framework behind the unified mechanics theory, which unifies universal laws of motion of Newton and laws of thermodynamics at ab-initio level. Unified Mechanics introduces an additional axis called, Thermodynamic State Index axis which is linearly independent from Newtonian space x, y, z and time. As a result, derivative of displacement with respect to entropy is not zero, in unified mechanics theory, as in Newtonian mechanics. Any material is treated as a thermodynamic system and fundamental equation of the material is derived. Fundamental equation defines entropy generation rate in the system. Experimental papers in the collection prove validity of using entropy as a stable metric for Fatigue, Fracture, Failure Prediction and Structural Health Monitoring.