Mississippi State University
Davy M. Belk
Michael A. Hamilton
Date of Degree
Original embargo terms
Visible to MSU only for 2 years
Dissertation - Campus Access Only
Doctor of Philosophy
James Worth Bagley College of Engineering
Department of Aerospace Engineering
Integrated Vehicle Health Management (IVHM) systems use models and algorithmic techniques to process Condition-based Data (CBD) to offer prognostic information and actionable imperatives in support of Condition-based Maintenance (CBM) for the system. IVHM technology was first introduced by NASA to gather data, diagnose, detect, and predict faults, and support operational and post-maintenance activities in space vehicles. Eventually, it expanded to other vehicle types such as aircraft, ships, and land vehicles . In recent years, the United States Army has been implementing a policy of CBM to transition from preventive to predictive maintenance . One of the many challenges faced by the Army is the lack of accurate methods to assess ground vehicle reliability using modeling and/or simulation. This study aims at developing a Markov Chain-based algorithm that can detect anomalies and that is capable of accurately predicting the operational states of military ground vehicles. Several different Markov Chain Models (MCMs) have been developed and tested in their ability to predict the next state of a vehicle, given its current state (diagnostics and prognostics), and to examine how well a given model can detect unknown measurements (anomaly detection). A target of 90% Correct Classification (PCC) was established for all the vehicle performance data. The results suggest that it is possible to predict at a high level of accuracy the likely operational states of the military vehicles using MCMs. The anomaly detection test results revealed that MCMs can clearly distinguish a change in the performance data, that does not match the expected performance.
Driouche, Bouteina, "An investigation of the feasibility of Markov chain-based predictive maintenance models in integrated vehicle health management of military ground fleets" (2021). Theses and Dissertations. 5185.