Abstract
The general aim of a Prognostic Health Management (PHM) system is to generate information to meet objectives such as improved mission reliability, improved safety and reduced maintenance costs. Information is derived from data (e.g. acquired by sensors) through the application of knowledge. Knowledge can be represented in different forms and can be implicit or explicit. The form of representation depends on the type of technology fulfilling some specific PHM function. PHM is complicated and successful systems will be constructed using technology from many suppliers. Careful management of technology integration is required. Proposed standards have been written to allow different technologies to communicate. But there is also a need to define formal frameworks so that technologies are integrated in a coherent manner. This paper presents some practical applications of PHM technologies that fulfil functions within different layers of the PHM process. These applications are then used to explain how these different functional technologies integrate through a common probabilistic framework.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
