Abstract
Reliability of manufacturing or production processes is heavily dependent upon the flawless operation of asset plant and equipment utilised in the processes. Nevertheless, continuous and seamless flow of information, aimed at real time access to process stakeholders provides the foundation for effective management of these assets. An essential requirement in this regard is the continuous availability of the condition monitoring information and its analyses in order to predict failure conditions as soon as the asset starts deviating away from its standard operational behaviour. This paper presents an integrated approach for prognostics based on radio frequency identification (RFID) technology. It presents an architecture aimed at introducing information processing capabilities at the asset level, thereby equipping the asset to be proactive in identifying its maintenance requirements wirelessly rather than relying on human interaction to examine the asset for irregularities.
Highlights
Modern production or manufacturing environment demands an elevated degree of plant and equipment reliability involved in manufacturing process
Using radio frequency identification (RFID) for prognostics poses significant advantages for engineering enterprises, and may prove to be an important building block towards e-intelligence based maintenance and asset management. This architecture allows for development of a technologically convergent and miniaturized device that could be mounted on an asset to provide condition data manipulation
This paper has outlined an initial architecture for the application of RFID technology for integrated wireless prognostics of engineering assets
Summary
Modern production or manufacturing environment demands an elevated degree of plant and equipment reliability involved in manufacturing process. Information and communication technologies are fast taking over from the conventional practices of manual plant inspection and reliance of these practices on paper based information acquisition and management This change is aimed at continuous monitoring of the condition of the asset plant and equipment; so as to sense malfunctioning in their operating conditions, which may have serious impact on other areas of the business. In the context of this paper, the terms physical asset or asset, refer to plant and equipment used by engineering enterprises in manufacturing or production process. These assets range from configurations of oil rigs, power generation and distribution facilities, military hardware, to commercial aircrafts. This paper is divided into two sections, in the first section intricacies and challenges posed to asset management paradigm have been reviewed to develop a case for integrated prognostics, and in the second section practical aspects of CC1010 for integrated prognostics are discussed
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