| Autor: |
Thomas, Roderick, Rees, D. J. |
| Předmět: |
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| Zdroj: |
International Journal of COMADEM; Jul2021, Vol. 24 Issue 3, p1-7, 7p |
| Abstrakt: |
Optimised Asset Management in recent years has embraced a rapid diffusion of innovation and disruptive technology, especially with reference to condition monitoring and predictive maintenance. The integration of this technology and associated communication technologies are improving operational aspects of industry, including predicting condition asset failure. Some assets in the future will be connected to the Internet of Things (IoT), Cloud Computing, Big Data including virtual and augmented reality which will be the gateway to enhanced communication including self-diagnosing capabilities driven by expert systems. Asset connectivity and predictive analytics will discern patterns and algorithms leading to optimised plant production, and enhanced energy efficiency. Machine learning models will indicate future operation on a real-time basis using big data libraries, tabular databases especially with reference to condition monitoring. This paper reviews the role maintenance has in optimising asset operation. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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