Condition Monitoring of Machine Tool Feed Drives and Methods for the Estimation of Remaining Useful Life PDF Download
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Author: Maximilian Johann Florian Benker
Publisher: utzverlag GmbH
ISBN: 3831650349
Category :
Languages : en
Pages : 170
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Book Description
Author: Maximilian Johann Florian Benker
Publisher: utzverlag GmbH
ISBN: 3831650349
Category :
Languages : en
Pages : 170
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Book Description
Author: Alla G. Kravets
Publisher: Springer Nature
ISBN: 3030951162
Category : Technology & Engineering
Languages : en
Pages : 277
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Book Description
This book is devoted to intelligent models and algorithms as the core components of cyber-physical systems. The complexity of cyber-physical systems developing and deploying requires new approaches to its modelling and design. Presents results in the field of modelling technologies that leverage the exploitation of artificial intelligence, including artificial general intelligence (AGI) and weak artificial intelligence. Provides scientific, practical, and methodological approaches based on bio-inspired methods, fuzzy models and algorithms, predictive modelling, computer vision and image processing. The target audience of the book are practitioners, enterprises representatives, scientists, PhD and Master students who perform scientific research or applications of intelligent models and algorithms in cyber-physical systems for various domains.
Author: A. Davies
Publisher: Springer Science & Business Media
ISBN: 9401149240
Category : Technology & Engineering
Languages : en
Pages : 571
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Book Description
In today's competitive climate the economies of production have become a critical factor for all manufacturing companies. For this reason, achieving cost-effective plant maintenance is highly important. In this context monitoring plays a vital role. The purpose of this book is to inform readers about techniques currently available in the field of condition monitoring, and the methodology used in their application. With contributions from experts throughout the world, the Handbook of Condition Monitoring addresses the four major technique areas in condition monitoring in addition to the latest developments in condition monitoring research. Significantly, the Handbook of Condition Monitoring includes the following features: comprehensive coverage of the full range of techniques and methodologies accepted knowledge and new developments both technical and managerial content. This is the essential reference book for maintenance technicians, engineers, managers and researchers as well as graduate students involved in manufacturing and mechanical engineering, and condition monitoring.
Author: Mikel Armendia
Publisher: Springer
ISBN: 303002203X
Category : Technology & Engineering
Languages : en
Pages : 296
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Book Description
This open access book summarizes the results of the European research project “Twin-model based virtual manufacturing for machine tool-process simulation and control” (Twin-Control). The first part reviews the applications of ICTs in machine tools and manufacturing, from a scientific and industrial point of view, and introduces the Twin-Control approach, while Part 2 discusses the development of a digital twin of machine tools. The third part addresses the monitoring and data management infrastructure of machines and manufacturing processes and numerous applications of energy monitoring. Part 4 then highlights various features developed in the project by combining the developments covered in Parts 3 and 4 to control the manufacturing processes applying the so-called CPSs. Lastly, Part 5 presents a complete validation of Twin-Control features in two key industrial sectors: aerospace and automotive. The book offers a representative overview of the latest trends in the manufacturing industry, with a focus on machine tools.
Author: Amiya Ranjan Mohanty
Publisher: CRC Press
ISBN: 1466593059
Category : Science
Languages : en
Pages : 282
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Book Description
Find the Fault in the Machines Drawing on the author’s more than two decades of experience with machinery condition monitoring and consulting for industries in India and abroad, Machinery Condition Monitoring: Principles and Practices introduces the practicing engineer to the techniques used to effectively detect and diagnose faults in machines. Providing the working principle behind the instruments, the important elements of machines as well as the technique to understand their conditions, this text presents every available method of machine fault detection occurring in machines in general, and rotating machines in particular. A Single-Source Solution for Practice Machinery Conditioning Monitoring Since vibration is one of the most widely used fault detection techniques, the book offers an assessment of vibration analysis and rotor-dynamics. It also covers the techniques of wear and debris analysis, and motor current signature analysis to detect faults in rotating mechanical systems as well as thermography, the nondestructive test NDT techniques (ultrasonics and radiography), and additional methods. The author includes relevant case studies from his own experience spanning over the past 20 years, and detailing practical fault diagnosis exercises involving various industries ranging from steel and cement plants to gas turbine driven frigates. While mathematics is kept to a minimum, he also provides worked examples and MATLAB® codes. This book contains 15 chapters and provides topical information that includes: A brief overview of the maintenance techniques Fundamentals of machinery vibration and rotor dynamics Basics of signal processing and instrumentation, which are essential for monitoring the health of machines Requirements of vibration monitoring and noise monitoring Electrical machinery faults Thermography for condition monitoring Techniques of wear debris analysis and some of the nondestructive test (NDT) techniques for condition monitoring like ultrasonics and radiography Machine tool condition monitoring Engineering failure analysis Several case studies, mostly on failure analysis, from the author’s consulting experience Machinery Condition Monitoring: Principles and Practices presents the latest techniques in fault diagnosis and prognosis, provides many real-life practical examples, and empowers you to diagnose the faults in machines all on your own.
Author: Diego Jair Rodriguez obando
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Remaining Useful Lifetime (RUL) can be simply defined as a prediction of the remaining time that a system is able to perform its intended function, from the current time to the final failure. This predicted time mostly depends on the state of deterioration of the system components and their expected future operating conditions. Thus, the RUL prediction is an uncertain process and its control is not trivial task.In general, the purpose for predicting the RUL is to influence decision-making for the system. In this dissertation a comprehensive framework for controlling the RUL is presented. Model uncertainties as well as system disturbances have been considered into the proposed framework. Issues as uncertainty treatment and inclusion of RUL objectives in the control strategy are studied from the modeling until a final global control architecture. It is shown that the RUL can be predicted from a suitable estimation of the deterioration, and from hypothesis on the future operation conditions. Friction drive systems are used for illustrating the usefulness of the aforementioned global architecture. For this kind of system, the friction is the source of motion and at the same time the source of deterioration. This double characteristic of friction is a motivation for controlling automatically the deterioration of the system by keeping a trade-off, between motion requirements and desired RUL values. In this thesis, a new control-oriented model for friction drive systems, which includes a dynamical model of the deterioration is proposed. The amount of deterioration has been considered as a function of the dissipated energy, at the contact surface, during the mechanical power transmission. An approach to estimate the current deterioration condition of a friction drive system is proposed. The approach is based on an Extended Kalman Filter (EKF) which uses an augmented model including the mechanical dynamical system and the deterioration dynamics. At every time instant, the EKF also provides intervals which surely includes the actual deterioration value which a given probability. A new architecture for controlling the RUL is proposed, which includes: a deterioration condition monitoring system (for instance the proposed EKF), a system operation condition estimator, a RUL controller system, and a RUL actuation principle. The operation condition estimator is based on the assumption that it is possible quantify certain characteristics of the motion requirements, for instance the duty cycle of motor torques. The RUL controller uses a cost function that weights the motion requirements and the desired RUL values to modify a varying-parameter filter, used here as the RUL-actuating-principle. The RUL-actuating-principle is based on a modification of the demanded torques, coming from a possible motion controller system. Preliminary results show that it is possible to control de RUL according to the proposed theoretical framework.
Author: Trent Furlong
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Machine maintenance is one of the biggest contributors of wasteful resources and inefficient productivity in industry. Machining tools contribute greatly towards maintenance costs because if not properly maintained they can damage a workpiece and ensue additional costs and time. Thus, determining a machining tool's condition at any given time is highly desirable in keeping productivity high while reducing maintenance costs. Research in predictive maintenance, or condition-based maintenance, use various sensors and signal processing techniques for different machine tools, machining parameters, and tool-to-workpiece interactions to determine what indicators most likely contribute to tool wear and damage. The Hilbert-Huang transform (HHT)--a fairly new signal processing technique known for its benefits in analyzing nonlinear and non-stationary phenomena--is being used more in predictive maintenance, but still lacks extensive testing. Other benefits of the HHT include time localization of frequency and energy content; something lost in Fourier analysis--a commonly used technique--which compensates locality with resolution in either time or frequency. The purpose of this thesis is to demonstrate the capabilities of using the Hilbert-Huang transform for tool condition monitoring (TCM)--a subset of condition-based monitoring--in determining a drill bit's condition by analyzing vibration and motor current data measured while drilling. The HHT's marginal Hilbert spectrum (MHS) is compared to the power spectral density results of each sensor showcasing their similarities and differences, namely the lack of spurious harmonics in the MHS and identifying trends in prominent frequency content over the tool's life. The peak value of the MHS, [eta]_1, and the integral of the MHS, [eta]_2, are defined as possible HHT tool wear indicators. Common statistical factors used as condition indicators (e.g. RMS, kurtosis, crest factor, etc.) are used to describe a sensor's time series behavior and to verify the defined HHT indicators using Parseval's theorem. Tri-axial vibration and feed and spindle motor current data was collected from a Haas VF-4 computer numerical control (CNC) machine using multiple drill bits on 1" thick, square plates of varying hardness. Energy leakage caused by the HHT greatly reduces the effectiveness of using [eta]_1 and [eta]_2 as reliable condition indicators. This is primarily seen in the motor current data, but more so from the feed motor. The vibration data proved to be much less prone to energy leakage from the HHT, and gave values of [eta]_1 and [eta]_2 consistent in behavior with the statistical data--giving the HHT the added benefit of viewing frequency content--assuming Parseval's theorem is satisfied. Thus, the HHT's effectiveness for TCM is dependent on the induced energy leakage, which in turn should be monitored and reduced by proper preprocessing whenever possible.
Author: Robert Bond Randall
Publisher: John Wiley & Sons
ISBN: 0470977582
Category : Technology & Engineering
Languages : en
Pages : 409
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Book Description
"Without doubt the best modern and up-to-date text on the topic, wirtten by one of the world leading experts in the field. Should be on the desk of any practitioner or researcher involved in the field of Machine Condition Monitoring" Simon Braun, Israel Institute of Technology Explaining complex ideas in an easy to understand way, Vibration-based Condition Monitoring provides a comprehensive survey of the application of vibration analysis to the condition monitoring of machines. Reflecting the natural progression of these systems by presenting the fundamental material and then moving onto detection, diagnosis and prognosis, Randall presents classic and state-of-the-art research results that cover vibration signals from rotating and reciprocating machines; basic signal processing techniques; fault detection; diagnostic techniques, and prognostics. Developed out of notes for a course in machine condition monitoring given by Robert Bond Randall over ten years at the University of New South Wales, Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications is essential reading for graduate and postgraduate students/ researchers in machine condition monitoring and diagnostics as well as condition monitoring practitioners and machine manufacturers who want to include a machine monitoring service with their product. Includes a number of exercises for each chapter, many based on Matlab, to illustrate basic points as well as to facilitate the use of the book as a textbook for courses in the topic. Accompanied by a website www.wiley.com/go/randall housing exercises along with data sets and implementation code in Matlab for some of the methods as well as other pedagogical aids. Authored by an internationally recognised authority in the area of condition monitoring.
Author: Frank Richter
Publisher:
ISBN:
Category :
Languages : en
Pages : 404
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Book Description
Author: J. Paulo Davim
Publisher: Springer Science & Business Media
ISBN: 1849964505
Category : Technology & Engineering
Languages : en
Pages : 221
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Book Description
Hard machining is a relatively recent technology that can be defined as a machining operation, using tools with geometrically defined cutting edges, of a work piece that has hardness values typically in the 45-70HRc range. This operation always presents the challenge of selecting a cutting tool insert that facilitates high-precision machining of the component, but it presents several advantages when compared with the traditional methodology based in finish grinding operations after heat treatment of work pieces. Machining of Hard Materials aims to provide the reader with the fundamentals and recent advances in the field of hard machining of materials. All the chapters are written by international experts in this important field of research. They cover topics such as: • advanced cutting tools for the machining of hard materials; • the mechanics of cutting and chip formation; • surface integrity; • modelling and simulation; and • computational methods and optimization. Machining of Hard Materials can serve as a useful reference for academics, manufacturing and materials researchers, manufacturing and mechanical engineers, and professionals in machining and related industries. It can also be used as a text for advanced undergraduate or postgraduate students studying mechanical engineering, manufacturing, or materials.
