Prognostics and Health Management of Engineering Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Prognostics and Health Management of Engineering Systems write by Nam-Ho Kim. This book was released on 2016-10-24. Prognostics and Health Management of Engineering Systems available in PDF, EPUB and Kindle. This book introduces the methods for predicting the future behavior of a system’s health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application.Among the many topics discussed in-depth are:• Prognostics tutorials using least-squares• Bayesian inference and parameter estimation• Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter• Data-driven prognostics algorithms including Gaussian process regression and neural network• Comparison of different prognostics algorithms divThe authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well as researchers and maintenance engineers in the above fields.
Data-Driven Technology for Engineering Systems Health Management
Data-Driven Technology for Engineering Systems Health Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data-Driven Technology for Engineering Systems Health Management write by Gang Niu. This book was released on 2016-07-27. Data-Driven Technology for Engineering Systems Health Management available in PDF, EPUB and Kindle. This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.
Diagnostics and Prognostics of Engineering Systems: Methods and Techniques
Diagnostics and Prognostics of Engineering Systems: Methods and Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Diagnostics and Prognostics of Engineering Systems: Methods and Techniques write by Kadry, Seifedine. This book was released on 2012-09-30. Diagnostics and Prognostics of Engineering Systems: Methods and Techniques available in PDF, EPUB and Kindle. Industrial Prognostics predicts an industrial systems lifespan using probability measurements to determine the way a machine operates. Prognostics are essential in determining being able to predict and stop failures before they occur. Therefore the development of dependable prognostic procedures for engineering systems is important to increase the systems performance and reliability. Diagnostics and Prognostics of Engineering Systems: Methods and Techniques provides widespread coverage and discussions on the methods and techniques of diagnosis and prognosis systems. Including practical examples to display the methods effectiveness in real-world applications as well as the latest trends and research, this reference source aims to introduce fundamental theory and practice for system diagnosis and prognosis.
Machine Learning and Knowledge Discovery for Engineering Systems Health Management
Machine Learning and Knowledge Discovery for Engineering Systems Health Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning and Knowledge Discovery for Engineering Systems Health Management write by Ashok N. Srivastava. This book was released on 2016-04-19. Machine Learning and Knowledge Discovery for Engineering Systems Health Management available in PDF, EPUB and Kindle. This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.
From Prognostics and Health Systems Management to Predictive Maintenance 1
From Prognostics and Health Systems Management to Predictive Maintenance 1 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook From Prognostics and Health Systems Management to Predictive Maintenance 1 write by Rafael Gouriveau. This book was released on 2016-10-14. From Prognostics and Health Systems Management to Predictive Maintenance 1 available in PDF, EPUB and Kindle. This book addresses the steps needed to monitor health assessment systems and the anticipation of their failures: choice and location of sensors, data acquisition and processing, health assessment and prediction of the duration of residual useful life. The digital revolution and mechatronics foreshadowed the advent of the 4.0 industry where equipment has the ability to communicate. The ubiquity of sensors (300,000 sensors in the new generations of aircraft) produces a flood of data requiring us to give meaning to information and leads to the need for efficient processing and a relevant interpretation. The process of traceability and capitalization of data is a key element in the context of the evolution of the maintenance towards predictive strategies.
