Accession Number:

AD1173257

Title:

Condition-Based Unmanned Undersea Vehicle Maintenance Monitoring and Prediction System (C-BUMMPS)

Descriptive Note:

[Technical Report, Graduate Research Project]

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s):

• Colegrove, Dana C.
• Delisser, Jason M.
• Johnson, Corey D.
• Stebe, John R.
• ,
• ,
• ,
• ,

Report Date:

2022-03-01

Pagination or Media Count:

137

Abstract:

As the Navy introduces its large displacement and extra-large class Unmanned Undersea Vehicles UUVs, the need and desire grows for increased endurance on the order of weeks to months. Extended endurance is a necessary capability to enable UUVs to take on some of the mission areas of nuclear submarines. Energy efficiency and storage capacity are some of the first factors to be considered for extending the endurance of unmanned vehicles. However, a secondary and more challenging factor is UUV system reliability, and the ability to tolerate or avoid system failures. The intent of this project is to capture the stakeholder needs for improving UUV reliability, maintainability, and availability, then transform those needs into system requirements for a Condition-Based UUV Maintenance Monitoring and Prediction System C-BUMMPS. Specifically, this project will develop and identify stakeholder, system functional, and system non-functional requirements. A C-BUMMPS architecture is developed to address the stakeholders needs. The developed architecture will consist of on-board sensing, monitoring, and processing elements on the UUV, in addition to ashore testing, data analytics, and maintenance activities needed to support the maturation of the C-BUMMPS. This project will utilize a model based systems engineering MBSE approach, and Innoslate was chosen as the desired MBSE tool. As such, certain views will be developed to depict the C-BUMMPS architecture from various perspectives.

Descriptors:

• data analysis
• systems engineering
• unmanned underwater vehicles
• engineers
• reliability
• digital engineering
• maintenance
• unmanned systems
• unmanned vehicles
• failure mode and effect analysis
• unmanned maritime systems
• model based systems engineering
• load monitoring
• maintenance management
• condition based maintenance
• detection
• detectors

Subject Categories:

• Submarine Engineering
• Administration and Management

Distribution Statement:

[A, Approved For Public Release]