File:CONDITIONS-BASED MAINTENANCE THROUGH AUTONOMOUS LOGISTICS (IA conditionsbasedm1094562712).pdf
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CONDITIONS-BASED MAINTENANCE THROUGH AUTONOMOUS LOGISTICS
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| Author |
Whitaker, Michael |
| Title |
CONDITIONS-BASED MAINTENANCE THROUGH AUTONOMOUS LOGISTICS |
| Publisher |
Monterey, CA; Naval Postgraduate School |
| Description |
Currently, operators and maintainers cull though numerous electronic reports, display boards, and historical maintenance records to determine and plan for maintenance activities for equipment. However, in recent years, emerging technologies such as the Internet-of-Things, big data analysis, and low-cost sensors and actuators have enabled applications that were not possible previously. From these developments, information that was once unavailable is now accessible through embedded sensors and actuators, providing real-time condition monitoring of complicated machinery. This thesis demonstrates the use of inexpensive COTS hardware devices and open-source software to develop an automated data collection architecture and a data processing framework to implement a preventative maintenance approach for the Marine Corps Medium Tactical Vehicle Replacement (MTVR). Data processing techniques were used to convert raw sensor data collected from on-board MTVR sensors into useable and measurable diagnostic data. Using statistical analysis based on a time series regression model, the diagnostic parameters that closely modeled engine operating conditions were chosen to predict engine usage characteristics of an MTVR engine. The thesis also describes a conditions-based maintenance policy that can be used to enhance preventative maintenance methods and decision support capabilities on Marine Corps ground equipment. Subjects: data science; single-board computers; logistics; MTVRS; CBM; conditions-based maintenance; sensors; Raspberry Pi; J1939; SAE |
| Language | English |
| Publication date | June 2019 |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
| Accession number |
conditionsbasedm1094562712 |
| Source | |
| Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
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This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
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| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
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| current | 06:42, 16 July 2020 |  | 1,275 × 1,650, 132 pages (7.35 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection conditionsbasedm1094562712 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #12126) |
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