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Author:
Publisher: Ed. Techniques Ingénieur
ISBN:
Category :
Languages : fr
Pages : 20
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Book Description
Author:
Publisher: Ed. Techniques Ingénieur
ISBN:
Category :
Languages : fr
Pages : 20
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Book Description
Author: Cornelius Scheffer
Publisher:
ISBN:
Category : Machinery
Languages : en
Pages :
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Book Description
Author: LYONNET Patrick
Publisher: Lavoisier
ISBN: 2743063858
Category :
Languages : en
Pages : 394
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Book Description
Permettre de concevoir, développer et utiliser des systèmes de diagnostic, de surveillance et de maintenance prédictive pour systèmes complexes (avions, centrales nucléaires, transport, etc.), afin d'optimiser les performances de la sûreté de fonctionnement : tel est l'objectif de cet ouvrage. Pour cela Fiabilité, diagnostic et maintenance prédictive des systèmes s'appuie sur la modélisation des systèmes (parties commandes et opératives), l'évaluation probabiliste et déterministe du fonctionnement, et la conception de systèmes de surveillance. Cet ouvrage fait le lien entre le diagnostic, la maintenance et la fiabilité des systèmes techniques, du plus simple au plus complexe. Son approche novatrice et sa présentation en font un véritable guide théorique et pratique pour les ingénieurs qui pourront y trouver la réponse à de nombreux problèmes de diagnostic, de surveillance et de maintenance, en particulier grâce à l'analyse vibratoire. Très didactique et accompagné de plus de 100 exercices et problèmes résolus reflétant des situations concrètes, il présente les concepts de base pour concevoir et développer correctement des outils ou des systèmes de diagnostic et de maintenance conditionnelle (prédictive) indispensables aux ingénieurs ou aux élèves ingénieurs en génie industriel, génie mécanique, robotique ou sûreté de fonctionnement dans les domaines les plus variés.
Author: J. S. Rao
Publisher: CRC Press
ISBN: 9780849309373
Category : Science
Languages : en
Pages : 472
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Book Description
Vibratory Condition Monitoring of Machines discusses the basic principles applicable in understanding the vibratory phenomena of rotating and reciprocating machines. It also addresses the defects that influence vibratory phenomenon, instruments and analysis procedures for maintenance, vibration related standards, and the expert systems that help ensure good maintenance programs. The author offers a minimal treatment of the mathematical aspects of the subject, focusing instead on imparting a physical understanding to help practicing engineers develop maintenance programs and operate machines efficiently.
Author: Juan Carlos A. Jauregui Correa
Publisher: Academic Press
ISBN: 0128203900
Category : Technology & Engineering
Languages : en
Pages : 210
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Book Description
Mechanical Vibrations and Condition Monitoring presents a collection of data and insights on the study of mechanical vibrations for the predictive maintenance of machinery. Seven chapters cover the foundations of mechanical vibrations, spectrum analysis, instruments, causes and effects of vibration, alignment and balancing methods, practical cases, and guidelines for the implementation of a predictive maintenance program. Readers will be able to use the book to make predictive maintenance decisions based on vibration analysis. This title will be useful to senior engineers and technicians looking for practical solutions to predictive maintenance problems. However, the book will also be useful to technicians looking to ground maintenance observations and decisions in the vibratory behavior of machine components. - Presents data and insights into mechanical vibrations in condition monitoring and the predictive maintenance of industrial machinery - Defines the key concepts related to mechanical vibration and its application for predicting mechanical failure - Describes the dynamic behavior of most important mechanical components found in industrial machinery - Explains fundamental concepts such as signal analysis and the Fourier transform necessary to understand mechanical vibration - Provides analysis of most sources of failure in mechanical systems, affording an introduction to more complex signal analysis
Author: R. Keith Mobley
Publisher: Elsevier
ISBN: 0080481612
Category : Technology & Engineering
Languages : en
Pages : 302
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Book Description
In a single useful volume, Vibration Fundamentals explains the basic theory, applications, and benefits of vibration analysis, which is the dominant predictive maintenance technique used with maintenance management programs. All mechanical equipment in motion generates a vibration profile, or signature, that reflects its operating condition. This is true regardless of speed or whether the mode of operation is rotation, reciprocation, or linear motion. There are several predictive maintenance techniques used to monitor and analyze critical machines, equipment, and systems in a typical plant. These include vibration analysis, ultrasonics, thermography, tribology, process monitoring, visual inspection, and other nondestructive analysis techniques. Of these techniques, vibration analysis is the dominant predictive maintenance technique used with maintenance management programs, and this book explains the basic theory, applications, and benefits in one easy-to-absorb volume that plant staff will find invaluable. This is the second book in a new series published by Butterworth-Heinemann in association with PLANT ENGINEERING magazine. PLANT ENGINEERING fills a unique information need for the men and women who operate and maintain industrial plants. It bridges the information gap between engineering education and practical application. As technology advances at increasingly faster rates, this information service is becoming more and more important. Since its first issue in 1947, PLANT ENGINEERING has stood as the leading problem-solving information source for America's industrial plant engineers, and this book series will effectively contribute to that resource and reputation. - Provides information essential to industrial troubleshooting investigations - Describes root-cause failure analysis - Incorporates detailed equipment-design guidelines
Author: Mohammed Abdul Qawi Zaid
Publisher:
ISBN:
Category : Shock (Mechanics)
Languages : en
Pages : 172
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Book Description
A machine in the best of operating condition will have some vibration because of small, minor defects. The use of the human sense of touch and feel for observation is somewhat limited, and there are many common problems that are generally out of the range of human senses. Vibration monitoring is a widely used and cost effective monitoring technique. It detects, locates, and distinguishes faults in rotating machineries. It is an established process used in predictive maintenance as it is necessary to diagnose faults in machine at early stages to prevent failure during operation. In this research an intelligent method to detect faults in rotating machineries by analyzing vibration signals was developed. The faults that can be detected are some of the most common faults in rotating machineries. An experimental set-up was designed and fabricated to observe the signals generated when it is in normal working condition and when it is in faulty condition. The components whose vibration signatures were observed are rotor disk and motor. The faulty rotor disk, mechanical looseness, and fault motor vibration signatures were studied. Four features from vibration signals for various faults were extracted in the time domain. They are Root Mean Square (RMS), crest factor, kurtosis, and skewness. These features are mapped against the respective faults using a multilayer feed forward artificial neural network. The network was trained using Levenberg-Marquardt algorithm. The simulated faults condition signal were analyzed and compared to normal condition signals. The analysis of the fault signature shows that fault conditions in the system are detected for the various components. In this research, the developed artificial neural network is able to detect the faulty conditions. The trained neural network can classify different condition with 92.5% accuracy and the precision is 0.9. For further research, it is suggested that the artificial neural network be trained to detect more inherent faults in the system components.
Author: M.D. Hicho
Publisher:
ISBN:
Category :
Languages : en
Pages : 6
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Book Description
Author: Robert Bond Randall
Publisher: John Wiley & Sons
ISBN: 1119477557
Category : Science
Languages : en
Pages : 452
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Book Description
Vibration-based Condition Monitoring Stay up to date on the newest developments in machine condition monitoring with this brand-new resource from an industry leader The newly revised Second Edition of Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace Applications delivers a thorough update to the most complete discussion of the field of machine condition monitoring. The distinguished author offers readers new sections on diagnostics of variable speed machines, including wind turbines, as well as new material on the application of cepstrum analysis to the separation of forcing functions, structural model properties, and the simulation of machines and faults. The book provides improved methods of order tracking based on phase demodulation of reference signals and new methods of determining instantaneous machine speed from the vibration response signal. Readers will also benefit from an insightful discussion of new methods of calculating the Teager Kaiser Energy Operator (TKEO) using Hilbert transform methods in the frequency domain. With a renewed emphasis on the newly realized possibility of making virtual instruments, readers of Vibration-based Condition Monitoring will benefit from the wide variety of new and updated topics, like: A comprehensive introduction to machine condition monitoring, including maintenance strategies, condition monitoring methods, and an explanation of the basic problem of condition monitoring An exploration of vibration signals from rotating and reciprocating machines, including signal classification and torsional vibrations An examination of basic and newly developed signal processing techniques, including statistical measures, Fourier analysis, Hilbert transform and demodulation, and digital filtering, pointing out the considerable advantages of non-causal processing, since causal processing gives no benefit for condition monitoring A discussion of fault detection, diagnosis and prognosis in rotating and reciprocating machines, in particular new methods using fault simulation, since “big data” cannot provide sufficient data for late-stage fault development Perfect for machine manufacturers who want to include a machine monitoring service with their product, Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace Applications will also earn a place in university and research institute libraries where there is an interest in machine condition monitoring and diagnostics.
Author: Janusz Kacprzyk
Publisher: Springer Nature
ISBN: 3031352513
Category : Technology & Engineering
Languages : en
Pages : 454
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Book Description
This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.
