KCF Technologies understands that new CBM technology is required for realized Total Ownership Cost (TOC) reductions on many Navy platforms including winches. In particular, advanced solutions are needed to accurately predict component performance and maintenance from which overhauls can be reduced, work task times shortened, and maintenance logistics optimized. The lack of advanced monitoring technologies necessary to perform high fidelity diagnostics and prognosticswithin the constraints of most Navy platforms and logistics infrastructurerepresent a key technology gap that must be bridged to derive increased operational readiness and cost saving. In this project, advanced diagnostic and prognostic algorithms will be combined with KCFs mature commercial industrial machine monitoring solution. This marriage of technologies will be tailored and applied to the unique requirements of Navy winches.
Benefit: The primary benefits of this project are reduced cost associated with winch maintenance and increased operational readiness. This will be achieved by applying a Prognostic and Health Management (PHM) philosophy which evaluates component health and optimizes maintenance tasks based on the trajectory of the components condition. For example, data obtained from the PHM equipment will be used to pinpoint and diagnose degradation that would lead to unscheduled maintenance, thus providing adequate lead time for the maintainer to schedule maintenance activities and order support material. From a practical implementation standpoint, the following new capabilities will be offered: improved accuracy of sailor inspections (better information for Material Condition Sheets) and automation of logistic support functions based on PHM data.
Keywords: Condition Based Maintenance, Condition Based Maintenance, software, Diagnostics, winch, Prognostics, Health monitoring, Sensors
