Smart Machinery Spaces

RLW, Inc. and Impact Technologies with support of the Torrington Company will design and demonstrate a prototype wireless smart bearing residual life sensor entailing best-of-breed prognostic algorithms and open architecture able to integrate seamlesslywith a compartment-level wireless network infrastructure. This effort entails three key technical objectives: (1) A quality-driven methodology for selection and qualification of particular CBM technologies; (2) Use of a previously developedhardware-independent software API for smart, networkable sensors; and (3) Design and construction of a prototype networkable, wireless sensor implementing selected condition-status and prognostic tools on a bearing of interest. The smart sensor willcontain sufficient processing resources and state-of-the-art diagnostic and prognostic algorithms and models hosted on a sensor designed to be permanently installed on a machine at manufacture. The prototype wireless sensor will be demonstrated on abearing of interest to the customer in a real application or a simple rig. These smart wireless sensors may be powered by energy scavenged from the environment and will become a part of a compartment-level network accessible from either a ship-wide networkand/or a wireless portable digital assistant from within the compartment. Implementation of wireless networks of sensors creating