MACE-Meter Condition-based Maintenance
Abstract
Approved for Public ReleaseThe current state-of-the-art for attempting to prevent problems like this includes the use of temporary electrical sensors monitored #by hand# by human watchstanders or maintainers, expensive physical inspection, and coming #IoT# solutions that crust a ship with sensors that become failure points, produce a data glut, and are cyber-security risks. This proposed project will add value by developing new algorithms for detecting the failure of critical systems like ICCP protection through nonintrusive monitoring. It will also develop minimally invasive sensors that exploit our NEPTUNE-developed MACE meter to continuously and automatically monitor important environmental signals like the millivolt levels that characterize proper galvanic protection on a ship. Other critical maintenance and operational variables will also become available in addition to those associated with galvanic protection (i.e., this is not a #one trick# project, but a minimally-invasivesystem for improving ship operation.). The proposed approach directly supports USN priorities, including new means for supporting the Seabasing CONOP, especially the identified priorities for supporting Sustainment and Reconstitution. The proposed effort will provide tools that eliminate installation expense by removing large numbers of sensors that will become failure points on a ship, and by providing #actionable# information that does not require extreme computing requirements (machine learning) for solving #big data# problems. Specifically, we propose to apply H4D analysisand technical innovation to develop and exploit four likely technical opportunities:#Development and demonstration of new algorithms that adaptively track changing power system signatures and update power system exemplars in order to track and distinguish normal fluctuations from pathological behavior. #Development of a new minimally invasive hardware sensor platform that can communicate on a cyber-secure intranet with our NEPTUNE-developed all-in-one (AIO) MACE meter. #Development and demonstration of new algorithmic techniques for identifying and tracking the behavior of #transient-less# or #always on# systems like ICCP by using power systems higher harmonics to continuously track load behavior.. #Field study to demonstrate data collection and analysis on a USN/USCG ship, likely USN LCS and USCG Fast Response Cutter or other ship of interest to the sponsor. Our goal is two-fold: Identify new techniques for detecting #soft# faults before they become mission cripples, and also develop new approaches for automatic watch standing to relieve crew maintenance and operations burdens.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 08, 2024
- Source ID
- N000142412484
Entities
People
- Steven Bruce Leeb
Organizations
- Massachusetts Institute of Technology
- Office of Naval Research
- United States Navy