Download or read book In belt Vibration Monitoring of Conveyor Idler Bearings by Using Wavelet Package Decomposition and Artificial Intelligence written by W. A. Roos and published by . This book was released on with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book In belt Vibration Monitoring of Conveyor Idlers and Using Wavelet Package Decomposition and Artificial Intelligence for Early Fault Detection written by Willem Abraham Roos and published by . This book was released on 2017 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conveyor systems make use of idlers that support the belt and its payload as it is circulated. These idlers have bearings to ensure lower friction between the idlers and the belt. These bearings do become contaminated with dust and dirt and bearings tend to fail or even seize, adding unwanted strain and stress on the belt. These idlers are monitored and replaced when needed to minimize the damage to the belt. There are several methods used to monitor the condition of the idlers. Thermal cameras are used to identify failing bearings that tend to run hotter than healthy bearings. Acoustic equipment exist that can capture the sound produced by the idler and processes it to indicate whether an idler is still working properly or when it is failing. These methods require an operator to travel the length of the belt, monitoring the idlers along the way. Vibrations have been used, with great success, to monitor idlers. An accelerometer is attached to the structure of the conveyor and the vibration signals are processed and from this a possible failing idler can be identified, either by an operator or an automated artificial intelligence system. However, the sensor can only monitor a few idlers close by and the cost of installing accelerometers along the entire length of a conveyor does make such a system infeasible. A method of using an accelerometer attached to the moving belt that travels over the idlers is investigated in this study. The vibration signals of the idler are captured as the accelerometer passes it and are then analyzed and used in a decision making system to identify and classify the idler bearing conditions. The accelerometer is attached at different positions across the width of the belt to investigate the possibility of only using one or two sensors to monitor all the bearings of the idlers across the width of the conveyor. Healthy bearings are tested against bearings with inner raceway, outer raceway and rolling element defects. Contaminated bearings are tested as well. Wavelet package decomposition is used to extract the bearing features and presents it to the intelligent decision making system. Neural networks and support vector machines are used with great success to identify and classify faulty bearings. The support vector machine monitoring system has a 100% accuracy in identifying and classifying faulty bearings, regardless of the sensor position and even when a localized payload is added. The system could not only identify a faulty bearing, but also classify the fault with 100% accuracy. These accuracies were obtained in a controlled experimental environment with a simplified test setup. The self-developed data acquisitioning system costs as much as one meter of steel reinforced rubber belt. There are some improvements needed before it could be implemented into a working conveyor, adding to the cost. A working in-belt idler monitoring system is not only plausible, but will be affordable as well.

Download or read book Computational Intelligence Theories Applications and Future Directions Volume I written by Nishchal K. Verma and published by Springer. This book was released on 2018-07-31 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected proceedings of ICCI-2017, discussing theories, applications and future directions in the field of computational intelligence (CI). ICCI-2017 brought together international researchers presenting innovative work on self-adaptive systems and methods. This volume covers the current state of the field and explores new, open research directions. The book serves as a guide for readers working to develop and validate real-time problems and related applications using computational intelligence. It focuses on systems that deal with raw data intelligently, generate qualitative information that improves decision-making, and behave as smart systems, making it a valuable resource for researchers and professionals alike.

Download or read book Intelligent Belt Conveyor Monitoring and Control written by Yusong Pang and published by . This book was released on 2010 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Bearing Damage Detection Via Wavelet Packet Decomposition of Stator Current written by Levent Eren and published by . This book was released on 2002 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: The induction motors are used heavily in industrial manufacturing plants. Bearing faults, insulation faults, and rotor faults are the major causes of induction motor failures. Even though the replacement of bearings, greatest single cause of motor faults, is the cheapest fix among the three conditions, it is the most difficult one to detect. This dissertation deals with the detection of incipient bearing defects. Motor current signature analysis, one of currently available predictive maintenance methods, provides continuous monitoring in a non-intrusive way. In this method, the motor current signal is analyzed to detect any defects. The wavelet packet decomposition of the stator current is the proposed method of analysis in this dissertation. The bearing condition monitoring can be easily implemented in a power quality monitor if computationally efficient filter banks are used in the wavelet packet decomposition of the stator current. The use of wavelet packet decomposition enables the analysis of frequency bands that can accommodate the rotational speed dependence of the bearing defect frequencies. The wavelet packet decomposition also offers a better treatment of non-stationary stator current than currently used Fourier techniques.

Download or read book Condition Monitoring with Vibration Signals written by Asoke K. Nandi and published by Wiley-IEEE Press. This book was released on 2019-12-06 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. It also presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance. Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines starts by introducing readers to Vibration Analysis Techniques and Machine Condition Monitoring (MCM). It then offers readers sections covering: Rotating Machine Condition Monitoring using Learning Algorithms; Classification Algorithms; and New Fault Diagnosis Frameworks designed for MCM. Readers will learn signal processing in the time-frequency domain, methods for linear subspace learning, and the basic principles of the learning method Artificial Neural Network (ANN). They will also discover recent trends of deep learning in the field of machine condition monitoring, new feature learning frameworks based on compressive sampling, subspace learning techniques for machine condition monitoring, and much more. Covers the fundamental as well as the state-of-the-art approaches to machine condition monitoringguiding readers from the basics of rotating machines to the generation of knowledge using vibration signals Provides new methods, including machine learning and compressive sampling, which offer significant improvements in accuracy with reduced computational costs Features learning algorithms that can be used for fault diagnosis and prognosis Includes previously and recently developed dimensionality reduction techniques and classification algorithms Condition Monitoring with Vibration Signals: Compressive Sampling and Learning Algorithms for Rotating Machines is an excellent book for research students, postgraduate students, industrial practitioners, and researchers.

Download or read book Bulk Material Belt Conveyor Troughing and Return Idlers written by Conveyor Equipment Manufacturers Association. Engineering Conference. The Idler Committee and published by . This book was released on 2001 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dimensional standards and selection guidelines for 20-degree, 35-degree, and 45-degree troughing idlers and return rollers as well as 10-degree and 15-degree vee returns.

Download or read book Bearing Fault Detection Using Discrete Wavelet Transform written by Syahril Azeem Ong Maliki Ong and published by . This book was released on 2012 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rolling element bearing has vast domestic and industrial applications. Appropriate function of these appliances depends on the smooth operation of the bearings. Result of various studies shows that bearing problems account for over 40% of all machine failures. Therefore this research is to design a test rig to harness data in terms of types of defects and rotation speed and also to develop method to detect features in vibration signals. Six set of bearings were tested with one of them remains in good condition while the other five has its own type of defects have been considered for analysis by using Discrete Wavelet Transform (DWT). The data for a good bearing were used as benchmark to compare with the defective ones. MATLAB's Discrete Wavelet Transform ToolBox was used to down-sample the vibration signals into noticeable form to detect defect features under certain frequency with respect to time. From the result generated, Fast Fourier Transform (FFT) and Root Mean Square (RMS) plays an important role in supporting results analyzed by using DWT from MATLAB® Toolbox. A system with low operating speed yields unsystematic results due to low excitation. As the speed increases, the excitation increases thus making DWT works effectively. Fordata of insufficient excitation, defect features still may be discovered by calculating and plotting graph for the percentage of RMS value of each decomposition level compared to the original input. This shows that DWT appears to be effective in pointing out the location and frequency of defect when the excitation is high enough. If the excitation is low, RMS value of each decomposition level may support the result. Nevertheless, DWT also proves to be an effective method for online condition monitoring tool. Future research should be detecting defect features by using envelope analysis or based on statistical tools.

Download or read book Machinery Prognostics and Prognosis Oriented Maintenance Management written by Jihong Yan and published by John Wiley & Sons. This book was released on 2015-02-02 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a complete presentatin of the basic essentials of machinery prognostics and prognosis oriented maintenance management, and takes a look at the cutting-edge discipline of intelligent failure prognosis technologies for condition-based maintenance. Presents an introduction to advanced maintenance systems, and discusses the key technologies for advanced maintenance by providing readers with up-to-date technologies Offers practical case studies on performance evaluation and fault diagnosis technology, fault prognosis and remaining useful life prediction and maintenance scheduling, enhancing the understanding of these technologies Pulls togeter recent developments and varying methods into one volume, complemented by practical examples to provide a complete reference

Download or read book Advances in Design and Thermal Systems written by Lionel Ganippa and published by Springer Nature. This book was released on 2021-04-21 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the select peer-reviewed proceedings of the International Conference on Emerging Trends in Design, Manufacturing, Materials and Thermal Sciences (ETDMMT 2020). The contents focus on latest research in product design, CAD/CAE/CFD, robotic systems, neural networks, thermal systems, alternative fuels, propulsion systems, environmental issues related to combustion, autonomous vehicles and alternative energy applications. In addition, the book also covers recent advances in automotive engineering and aerospace technologies. Given the range of contents covered, this book can be useful for students, researchers as well as practicing engineers.

Download or read book Systems Decision and Control in Energy I written by Vitaliy P. Babak and published by Springer. This book was released on 2020-09-04 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the problems in the field of energy and related areas (including chemistry, transport, aerospace, construction, metallurgy and engineering) that Ukrainian scientists are currently investigating. The research presented focuses on ensuring the operational reliability, durability and safety of energy equipment, as well as the development of control, diagnostics and monitoring systems in the energy sector. Further, the book explores the ecological consequences of energy facilities , particularly environmental pollution in large cities and industrial areas. Written mainly by representatives of the Council of Young Scientists of the Department of Physical and Technical Problems of Energy at the NAS of Ukraine, it is intended for researchers and engineers, as well as lecturers and postgraduates at higher education institutions interested in the control, diagnosis and monitoring of energy facilities.

Download or read book Different Perspectives on Wavelets written by Ingrid Daubechies and published by American Mathematical Soc.. This book was released on 2016-04-30 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The wavelet transform can be seen as a synthesis of ideas that have emerged since the 1960s in mathematics, physics, and electrical engineering. The basic idea is to use a family of ``building blocks'' to represent in an efficient way the object at hand, be it a function, an operator, a signal, or an image. The building blocks themselves come in different ``sizes'' which can describe different features with different resolutions. The papers in this book attempt to give some theoretical and technical shape to this intuitive picture of wavelets and their uses. The papers collected here were prepared for an AMS Short Course on Wavelets and Applications, held at the Joint Mathematics Meetings in San Antonio in January 1993. Here readers will find general background on wavelets as well as more detailed views of specific techniques and applications. With contributions by some of the top experts in the field, this book provides an excellent introduction to this important and growing area of research.

Download or read book Advanced Modeling and Optimization of Manufacturing Processes written by R. Venkata Rao and published by Springer Science & Business Media. This book was released on 2010-12-01 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Modeling and Optimization of Manufacturing Processes presents a comprehensive review of the latest international research and development trends in the modeling and optimization of manufacturing processes, with a focus on machining. It uses examples of various manufacturing processes to demonstrate advanced modeling and optimization techniques. Both basic and advanced concepts are presented for various manufacturing processes, mathematical models, traditional and non-traditional optimization techniques, and real case studies. The results of the application of the proposed methods are also covered and the book highlights the most useful modeling and optimization strategies for achieving best process performance. In addition to covering the advanced modeling, optimization and environmental aspects of machining processes, Advanced Modeling and Optimization of Manufacturing Processes also covers the latest technological advances, including rapid prototyping and tooling, micromachining, and nano-finishing. Advanced Modeling and Optimization of Manufacturing Processes is written for designers and manufacturing engineers who are responsible for the technical aspects of product realization, as it presents new models and optimization techniques to make their work easier, more efficient, and more effective. It is also a useful text for practitioners, researchers, and advanced students in mechanical, industrial, and manufacturing engineering.

Download or read book Building Innovation Pipelines Through Computer Aided Innovation written by Denis Cavallucci and published by Springer Science & Business Media. This book was released on 2011-06-17 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 4th IFIP WG 5.4. Working Conference on Computer- Aided Innovation, CAI 2011, held in Strasbourg, France, in June/July 2011. The 14 revised papers presented were carefully reviewed and selected from numerous submissions. They cover a broad range of topics from basic research to industrial applications of computer-aided innovation systems.

Download or read book Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery written by Yaguo Lei and published by Butterworth-Heinemann. This book was released on 2016-11-02 with total page 376 pages. 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

Download or read book Belt Conveyors for Bulk Materials written by Conveyor Equipment Manufacturers Association and published by . This book was released on 1980 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Mechatronic Systems written by Annalisa Milella and published by BoD – Books on Demand. This book was released on 2010-03-01 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechatronics, the synergistic blend of mechanics, electronics, and computer science, has evolved over the past twenty five years, leading to a novel stage of engineering design. By integrating the best design practices with the most advanced technologies, mechatronics aims at realizing high-quality products, guaranteeing at the same time a substantial reduction of time and costs of manufacturing. Mechatronic systems are manifold and range from machine components, motion generators, and power producing machines to more complex devices, such as robotic systems and transportation vehicles. With its twenty chapters, which collect contributions from many researchers worldwide, this book provides an excellent survey of recent work in the field of mechatronics with applications in various fields, like robotics, medical and assistive technology, human-machine interaction, unmanned vehicles, manufacturing, and education. We would like to thank all the authors who have invested a great deal of time to write such interesting chapters, which we are sure will be valuable to the readers. Chapters 1 to 6 deal with applications of mechatronics for the development of robotic systems. Medical and assistive technologies and human-machine interaction systems are the topic of chapters 7 to 13.Chapters 14 and 15 concern mechatronic systems for autonomous vehicles. Chapters 16-19 deal with mechatronics in manufacturing contexts. Chapter 20 concludes the book, describing a method for the installation of mechatronics education in schools.