Dsmt Based Three Layer Method Using Multi Classifier To Detect Faults In Hydraulic Systems
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DSmT based three layer method using multi classifier to detect faults in hydraulic systems
Author | : Xiancheng Ji, Yan Ren,Hesheng Tang,Jiawei Xiang |
Publsiher | : Infinite Study |
Total Pages | : 13 |
Release | : 2024 |
Genre | : Education |
ISBN | : 9182736450XXX |
Download DSmT based three layer method using multi classifier to detect faults in hydraulic systems Book in PDF, Epub and Kindle
Fault identification in hydraulic valves is essential in maintaining the reliability and security of hydraulic systems. Due to the nonlinear characteristics of hydraulic systems under noisy working conditions, it is difficult to extract fault features from vibration signals collected from the surface of the valve body. Therefore, a DSmT-based three-layer method using multi-classifier is proposed to detect multiple faults occurred in hydraulic valves
Classification of Wear State for a Positive Displacement Pump Using Deep Machine Learning
Author | : Jarosław Konieczny,Waldemar Łatas,Jerzy Stojek |
Publsiher | : Infinite Study |
Total Pages | : 19 |
Release | : 2023-01-01 |
Genre | : Computers |
ISBN | : 9182736450XXX |
Download Classification of Wear State for a Positive Displacement Pump Using Deep Machine Learning Book in PDF, Epub and Kindle
Hydraulic power systems are commonly used in heavy industry (usually highly energy intensive and are often associated with high power losses. Designing a suitable system to allow an early assessment of the wear conditions of components in a hydraulic system (e.g., an axial piston pump) can effectively contribute to reducing energy losses during use. This paper presents the application of a deep machine learning system to determine the efficiency state of a multi-piston positive displacement pump. Such pumps are significant in high-power hydraulic systems. The correct operation of the entire hydraulic system often depends on its proper functioning. The wear and tear of individual pump components usually leads to a decrease in the pump’s operating pressure and volumetric losses, subsequently resulting in a decrease in overall pump efficiency and increases in vibration and pump noise. This in turn leads to an increase in energy losses throughout the hydraulic system, which releases excess heat. Typical failures of the discussed pumps and their causes are described after reviewing current research work using deep machine learning. Next, the test bench on which the diagnostic experiment was conducted and the selected operating signals that were recorded are described. The measured signals were subjected to a time–frequency analysis, and their features, calculated in terms of the time and frequency domains, underwent a significance ranking using the minimum redundancy maximum relevance (MRMR) algorithm. The next step was to design a neural network structure to classify the wear state of the pump and to test and evaluate the effectiveness of the network’s recognition of the pump’s condition. The whole study was summarized with conclusions.
Fault Diagnosis of Induction Motors
Author | : Jawad Faiz,Vahid Ghorbanian,Gojko Joksimović |
Publsiher | : IET |
Total Pages | : 535 |
Release | : 2017-08-29 |
Genre | : Business & Economics |
ISBN | : 9781785613289 |
Download Fault Diagnosis of Induction Motors Book in PDF, Epub and Kindle
This book is a comprehensive, structural approach to fault diagnosis strategy. The different fault types, signal processing techniques, and loss characterisation are addressed in the book. This is essential reading for work with induction motors for transportation and energy.
Spatial Interpolation for Climate Data
Author | : Hartwig Dobesch,Pierre Dumolard,Izabela Dyras |
Publsiher | : John Wiley & Sons |
Total Pages | : 338 |
Release | : 2013-03-01 |
Genre | : Science |
ISBN | : 9781118614990 |
Download Spatial Interpolation for Climate Data Book in PDF, Epub and Kindle
This title gives an authoritative look at the use of Geographical Information Systems (GIS) in climatology and meterology. GIS provides a range of strategies, from traditional methods, such as those for hydromet database analysis and management, to new developing methods. As such, this book will provide a useful reference tool in this important aspect of climatology and meterology study.
2020 Global Reliability and Prognostics and Health Management PHM Shanghai
![2020 Global Reliability and Prognostics and Health Management PHM Shanghai](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
Author | : IEEE Staff |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 2020-10-16 |
Genre | : Electronic Book |
ISBN | : 1728159474 |
Download 2020 Global Reliability and Prognostics and Health Management PHM Shanghai Book in PDF, Epub and Kindle
The purpose of GlobalRel&PHM 2020 Shanghai 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
Quantization in Astrophysics Brownian Motion and Supersymmetry
Author | : Florentin Smarandache,V. Christianto |
Publsiher | : Infinite Study |
Total Pages | : 516 |
Release | : 2007 |
Genre | : Science |
ISBN | : 9788190219099 |
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The Handbook of Economic Development and Institutions
Author | : Jean-Marie Baland,François Bourguignon,Jean-Philippe Platteau,Thierry Verdier |
Publsiher | : Princeton University Press |
Total Pages | : 786 |
Release | : 2020-01-21 |
Genre | : Business & Economics |
ISBN | : 9780691192017 |
Download The Handbook of Economic Development and Institutions Book in PDF, Epub and Kindle
The definitive reference on the most current economics of development and institutions The essential role that institutions play in understanding economic development has long been recognized across the social sciences, including in economics. Academic and policy interest in this subject has never been higher. The Handbook of Economic Development and Institutions is the first to bring together in one single volume the most cutting-edge work in this area by the best-known international economists. The volume’s editors, themselves leading scholars in the discipline, provide a comprehensive introduction, and the stellar contributors offer up-to-date analysis into institutional change and its interactions with the dynamics of economic development. This book focuses on three critical issues: the definitions of institutions in order to argue for a causal link to development, the complex interplay between formal and informal institutions, and the evolution and coevolution of institutions and their interactions with the political economy of development. Topics examined include the relationship between institutions and growth, educational systems, the role of the media, and the intersection between traditional systems of patronage and political institutions. Each chapter—covering the frontier research in its area and pointing to new areas of research—is the product of extensive workshopping on the part of the contributors. The definitive reference work on this topic, The Handbook of Economic Development and Institutions will be essential for academics, researchers, and professionals working in the field.
Context Enhanced Information Fusion
Author | : Lauro Snidaro,Jesús García,James Llinas,Erik Blasch |
Publsiher | : Springer |
Total Pages | : 703 |
Release | : 2016-05-25 |
Genre | : Computers |
ISBN | : 9783319289717 |
Download Context Enhanced Information Fusion Book in PDF, Epub and Kindle
This text reviews the fundamental theory and latest methods for including contextual information in fusion process design and implementation. Chapters are contributed by the foremost international experts, spanning numerous developments and applications. The book highlights high- and low-level information fusion problems, performance evaluation under highly demanding conditions, and design principles. A particular focus is placed on approaches that integrate research from different communities, emphasizing the benefit of combining different techniques to overcome the limitations of a single perspective. Features: introduces the terminology and core elements in information fusion and context; presents key themes for context-enhanced information fusion; discusses design issues in developing context-aware fusion systems; provides mathematical grounds for modeling the contextual influences in representative fusion problems; describes the fusion of hard and soft data; reviews a diverse range of applications.