Machinery

Download Integrated reliability : condition monitoring and by John Osarenren PDF

By John Osarenren

ISBN-10: 1482249421

ISBN-13: 9781482249422

"This textual content highlights the ideas to the typical mess ups and reliability of kit in significant industries, via an built-in reliability situation tracking, and upkeep with a technological inheritance model-based application. It relates all working stipulations of a severe cylindrical apparatus half (shaft) all through its lifestyles cycle, ranging from layout via production to genuine gear service Read more...

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Additional info for Integrated reliability : condition monitoring and maintenance of equipment

Sample text

The program is a complete solution strategy for protecting critical industrial equipment that covers three real-world scenarios, which are based on multiple reliability monitoring and maintenance functions. Integrated reliability condition and maintenance with the help of a TI software program offers multiple benefits that determine the desired level of monitoring and maintenance that is required to keep the system at the needed level of capacity, effectiveness, and reliability at minimum life cycle costs in the IOFs.

The existing reliability monitoring and maintenance management route is optimized and compared with the new IRCMM management route technology using a TI software program for optimum selection of components/systems in the different IOFs. This book offers an IRCMM management route with a TI software program as the best program, since it integrates reliability with CM and maintenance data acquisition, analysis, and presentation into a single unit for maximum benefits at minimum cost toward a sustainable development and management in the IOFs.

Chapter 5: Maximum Achievable Reliability Design for Critical Parts of Equipment with the Technological Inheritance Model A robust reliability component is one that works as required regardless of variations in the manufacturing process, mating hard-coated part, or equipment system resulting from deterioration, defects, and failures during operations, within a specific period of time. Since the relationship of the hard alloy–coated part, process, and equipment models for wear resistance applications is unknown, it is necessary to use design of experiments to develop a multivariate regression model to achieve optimum quality values toward a more robust design.

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