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Book Condition Monitoring of Rolling Element Bearings

Download or read book Condition Monitoring of Rolling Element Bearings written by Atul Andhare and published by LAP Lambert Academic Publishing. This book was released on 2010-05 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rolling bearings are the most important machine elements. Proper functioning of a machine depends on condition of bearings. Vibrations help in diagnosing various faults in machines. Therefore, vibration based condition monitoring is the most popular method to know health of any machine. However, as found from the literature, vibration monitoring and diagnostics of faults in tapered roller bearing is not well established. This book is therefore focused on vibration based condition monitoring of tapered roller bearings. It presents results of experiments performed towards diagnosis of defects in tapered roller bearings using vibration analysis. The bearing vibration data are analyzed using various time and frequency domain techniques. The results for defect-free and defective bearings are compared to get information for defect diagnosis. A MATLAB based computer interface, which was developed for vibration signal processing and diagnostics, is also discussed in the book. This interface made use of all the time and frequency domain vibration data to diagnose defects in bearings. This book will be useful for the practicing engineers and students working on condition monitoring.

Book Online Condition Monitoring of Rolling Element Bearings

Download or read book Online Condition Monitoring of Rolling Element Bearings written by Yunxuan Li and published by . This book was released on 2006 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Condition Monitoring of Rolling Element Bearings

Download or read book Condition Monitoring of Rolling Element Bearings written by Stephen G. Beng Kiong Teo and published by . This book was released on 1986 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Condition Monitoring of Rolling Element Bearings

Download or read book The Condition Monitoring of Rolling Element Bearings written by Monash University Machine Condition Monitoring Group and published by . This book was released on 1983 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Condition monitoring Guidelines for Rolling Element Bearings

Download or read book Condition monitoring Guidelines for Rolling Element Bearings written by L. Winn and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Condition Monitoring of Fams with Rolling Element Bearings

Download or read book Condition Monitoring of Fams with Rolling Element Bearings written by J. M. Tuten and published by . This book was released on 1988 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Bearing Technology

Download or read book Bearing Technology written by Pranav H. Darji and published by BoD – Books on Demand. This book was released on 2017-05-31 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the twenty-first century, bearings are expected to perform better in the form of various operating conditions, that is from low speed to extremely high speed and from low load to huge load applications. The expectations from the field of bearing technology are great. During the recent years, we have been witnessing the development of a new generation of mechanical systems that are highly miniaturized and very sophisticated, yet extremely robust. Technological progress creates increasingly arduous conditions for rolling mechanisms.

Book A Survey in Condition Monitoring of Rolling Element Bearings

Download or read book A Survey in Condition Monitoring of Rolling Element Bearings written by Nagi Z. Gebraeel and published by . This book was released on 2001 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Non parametric and Non filtering Methods for Rolling Element Bearing Condition Monitoring

Download or read book Non parametric and Non filtering Methods for Rolling Element Bearing Condition Monitoring written by Hamid Faghidi and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rolling element bearings are one of the most significant elements and frequently-used components in mechanical systems. Bearing fault detection and diagnosis is important for preventing productivity loss and averting catastrophic failures of mechanical systems. In industrial applications, bearing life is often difficult to predict due to different application conditions, load and speed variations, as well as maintenance practices. Therefore, reliable fault detection is necessary to ensure productive and safe operations. Vibration analysis is the most widely used method for detection and diagnosis of bearing malfunctions. A measured vibration signal from a sensor is often contaminated by noise and vibration interference components. Over the years, many methods have been developed to reveal fault signatures, and remove noise and vibration interference components. Though many vibration based methods have been proposed in the literature, the high frequency resonance (HFR) technique is one of a very few methods have received certain industrial acceptance. However, the effectiveness of the HFR methods depends, to a great extent, on some parameters such as bandwidth and centre frequency of the fault excited resonance, and window length. Proper selection these parameters is often a knowledge-demanding and time-consuming process. In particular, the filter designed based on the improperly selected bandwidth and center frequency of the fault excited resonance can filter out the true fault information and mislead the detection/diagnosis decisions. In addition, even if these parameters can be selected properly at beginning of each process, they may become invalid in a time-varying environment after a certain period of time. Hence, they may have to be re-calculated and updated, which is again a time-consuming and error-prone process. This undermines the practical significance of the above methods for online monitoring of bearing conditions. To overcome the shortcomings of existing methods, the following four non-parametric and non-filtering methods are proposed: 1. An amplitude demodulation differentiation (ADD) method, 2. A calculus enhanced energy operator (CEEO) method, 3. A higher order analytic energy operator (HO_AEO) approach, and 4. A higher order energy operator fusion (HOEO_F) technique. The proposed methods have been evaluated using both simulated and experimental data.

Book Condition Monitoring of Rolling Element Bearings

Download or read book Condition Monitoring of Rolling Element Bearings written by A. F. Khan and published by . This book was released on 1991 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis explores the individual capabilities of various vibration-based condition monitoring techniques in an attempt to use them in parallel to develop a reliable and cost effective system for rolling element bearings. This includes detection of damage, diagnosis of its location, and monitoring its failure trend enabling a prognosis of the remaining bearing life. This also requires the choice of appropriate monitoring intervals during the failure trend monitoring. A new technique, ratio analysis, which monitors the ratio of the levels in the above mentioned two frequency bands, is used effectively in defining the monitoring intervals. It is shown that total life span of a bearing can be divided into three stages, namely: pre-damage, post- damage and pre-failure, and the monitoring intervals can be set accordingly using the LB subscript ten figure and the characteristic of the ratio curve.

Book Proceedings of International Conference on Intelligent Manufacturing and Automation

Download or read book Proceedings of International Conference on Intelligent Manufacturing and Automation written by Hari Vasudevan and published by Springer. This book was released on 2018-11-04 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the outcomes of the International Conference on Intelligent Manufacturing and Automation (ICIMA 2018) organized by the Departments of Mechanical Engineering and Production Engineering at Dwarkadas J. Sanghvi College of Engineering, Mumbai, and the Indian Society of Manufacturing Engineers. It includes original research and the latest advances in the field, focusing on automation, mechatronics and robotics; CAD/CAM/CAE/CIM/FMS in manufacturing; product design and development; DFM/DFA/FMEA; MEMS and Nanotechnology; rapid prototyping; computational techniques; industrial engineering; manufacturing process management; modelling and optimization techniques; CRM, MRP and ERP; green, lean, agile and sustainable manufacturing; logistics and supply chain management; quality assurance and environment protection; advanced material processing and characterization; and composite and smart materials.

Book Condition Monitoring and Fault Diagnosis of Roller Element Bearing

Download or read book Condition Monitoring and Fault Diagnosis of Roller Element Bearing written by Tian Ran Lin and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Rolling element bearings play a crucial role in determining the overall health condition of a rotating machine. An effective condition-monitoring program on bearing operation can improve a machine's operation efficiency, reduce the maintenance/replacement cost, and prolong the useful lifespan of a machine. This chapter presents a general overview of various condition-monitoring and fault diagnosis techniques for rolling element bearings in the current practice and discusses the pros and cons of each technique. The techniques introduced in the chapter include data acquisition techniques, major parameters used for bearing condition monitoring, signal analysis techniques, and bearing fault diagnosis techniques using either statistical features or artificial intelligent tools. Several case studies are also presented in the chapter to exemplify the application of these techniques in the data analysis as well as bearing fault diagnosis and pattern recognition.