Abstract
For as long as there have been machines, there have been maintenance issues, uncertainties regarding reliability, and failures. Yet, the impact of such occurrences has significantly changed as manufacturing has moved away from the manual labor of the Industrial Revolution to the electromechanical systems of today’s technology-driven society. With an ever-increasing reliance on expensive and complex machines, machinery failures significantly affect company profits, largely due to the loss of equipment availability, the cost of spare parts, the risk of injury to people, and the possibility of damage to the environment.
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For Further Information
Condition Monitoring and Engineering Management (COMADEM), 307 Tiverton Road, Selly Oak, Birmingham B29 6DA, UK. International consultants on all aspects of condition monitoring and diagnostic engineering management. <www.comadem.com>
Center for Nondestructive Evaluation, Iowa State University. A research center focusing on the research and development of new theories and techniques for use in quantitative NDE. <www.cnde.iastate.edu>
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The Machinery Information Management Open Systems Alliance, MIMOSA, is a non profit trade association dedicated to developing and encouraging open information standards for Operations and Maintenance in manufacturing and other environments. <www.mimosa.org>
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© 2013 Springer-Verlag Berlin Heidelberg
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Cowan, R.S., Winer, W.O. (2013). Machinery Diagnostics. In: Czichos, H. (eds) Handbook of Technical Diagnostics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25850-3_19
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DOI: https://doi.org/10.1007/978-3-642-25850-3_19
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