Brian Bole
Brian Bole
Data Scientist, ARMUS Corp.
Verified email at - Homepage
Cited by
Cited by
Adaptation of an electrochemistry-based li-ion battery model to account for deterioration observed under randomized use
B Bole, CS Kulkarni, M Daigle
Annual Conference of the PHM Society 6 (1), 2014
Randomized battery usage data set
B Bole, C Kulkarni, M Daigle
NASA AMES prognostics data repository 70, 2014
Prognostics enhanced reconfigurable control of electro-mechanical actuators
DW Brown, G Georgoulas, B Bole, HL Pei, M Orchard, L Tang, B Saha, ...
Proc. Annual Conference of the Prognostic Health Management Society, 2009
Label-free photonic crystal biosensor integrated microfluidic chip for determination of kinetic reaction rate constants
CJ Choi, ID Block, B Bole, D Dralle, BT Cunningham
IEEE Sensors Journal 9 (12), 1697-1704, 2009
Online prediction of battery discharge and estimation of parasitic loads for an electric aircraft
B Bole, M Daigle, G Gorospe
PHM Society European Conference 2 (1), 2014
Battery charge depletion prediction on an electric aircraft
QC Chi, B Bole, E Hogge, S Vazquez, M Daigle, J ́ Celaya, A Weber, ...
Annual Conference of the PHM Society 5 (1), 2013
Verification of a remaining flying time prediction system for small electric aircraft
EF Hogge, BM Bole, SL Vazquez, JR Celaya, TH Strom, BL Hill, ...
Annual conference of the phm society 7 (1), 2015
Adaptive Load-Allocation for Prognosis-Based Risk Management
B Bole, L Tang, K Goebel, G Vachtsevanos
The Annual Conference of the Prognostics and Health Management Society, 2011
SIL/HIL replication of electric aircraft powertrain dynamics and inner-loop control for V&V of system health management routines
B Bole, C Teubert, CC Quach, E Hogge, S Vazquez, K Goebel, ...
Annual Conference of the PHM Society 5 (1), 2013
Randomized Battery Usage Dataset; NASA Ames Prognostics Data Repository
B Bole, C Kulkarni, M Daigle
Tech. Rep, 2014
Verification of prognostic algorithms to predict remaining flying time for electric unmanned vehicles
EF Hogge, BM Bole, SL Vazquez, CS Kulkarni, TH Strom, BL Hill, ...
International journal of prognostics and health management 9 (1), 2018
Fault adaptive control of overactuated systems using prognostic estimation
B Bole, D Brown, HL Pei, K Goebel, L Tang, G Vachtsevanos
International conference on prognostics and health management (PHM), 2010
Energy Management Control of a Hybrid Electric Vehicle with Two-Mode Electrically Variable Transmission
B Bole, S Coogan, C Cubero-Ponce, D Edwards, R Melsert, D Taylor
EVS26, 2012
A prognostics enhanced reconfigurable control architecture
D Brown, B Bole, G Vachtsevanos
18th Mediterranean Conference on Control and Automation, MED'10, 1061-1066, 2010
Randomized Battery Usage Data Set, NASA Ames Prognostics Data Repository. NASA Ames Research Center, Moffett Field, CA
B Bole, C Kulkarni, M Daigle
Using Markov Models of Fault Growth Physics and Environmental Stresses to Optimize Control Actions
B Bole, K Goebel, G Vachtsevanos
Infotech@ Aerospace 2012, 2424, 2012
Controlling tracking performance for system health management-a markov decision process formulation
B Bole, K Goebel, G Vachtsevanos
International Journal of Prognostics and Health Management 6 (4), 2015
Load allocation for optimal risk management in systems with incipient failure modes
BMC Bole
Georgia Institute of Technology, 2013
Markov Modeling of Component Fault Growth Over A Derived Domain of Feasible Output Control Effort Modifications
B Bole, K Goebel, G Vachtsevanos
Proc. Annual Conference of the Prognostic Health Management Society, 2012
Development and Implementation of a Hardware in-the-loop test bed for Unmanned Aerial Vehicle control algorithms
E Nyangweso, B Bole
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