Abstract
The lifecycle of a product is generally associated with two key players viz., a producer and an end-user. Although producers and end-users depend on each other, they have their own priorities. For a producer, the characteristics of a population of units are more important than the individual units, whereas for an end-user the opposite is true. The government makes laws for the population of a country, but a parent may be more concerned about its impact on the future of their individual children. A car manufacturer targets consistency in fuel efficiency for a population of cars, whereas a car owner has concerns about the fuel efficiency of his/her car. Similar differences in concerns also apply to tennis racquet manufacturer versus a tennis player or a cutting tool manufacturer versus cutting tool user.
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Keywords
- Thrust Force
- Degradation Signal
- Wavelet Neural Network
- Tool Condition Monitoring
- Computation Intelligence
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2007 Springer-Verlag Berlin Heidelberg
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Chinnam, R.B., Rai, B. (2007). Computation Intelligence in Online Reliability Monitoring. In: Levitin, G. (eds) Computational Intelligence in Reliability Engineering. Studies in Computational Intelligence, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37372-8_9
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DOI: https://doi.org/10.1007/978-3-540-37372-8_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37371-1
Online ISBN: 978-3-540-37372-8
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