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Brian Bole
Brian Bole
Data Scientist, ARMUS Corp.
Verified email at armus.com - Homepage
Title
Cited by
Cited by
Year
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
1642014
Randomized battery usage data set
B Bole, C Kulkarni, M Daigle
NASA AMES prognostics data repository 70, 2014
842014
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
562009
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
452009
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
342014
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
312013
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
262015
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
212011
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
182013
Randomized Battery Usage Dataset; NASA Ames Prognostics Data Repository
B Bole, C Kulkarni, M Daigle
Tech. Rep, 2014
112014
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
92018
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
82010
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
72012
A prognostics enhanced reconfigurable control architecture
D Brown, B Bole, G Vachtsevanos
18th Mediterranean Conference on Control and Automation, MED'10, 1061-1066, 2010
62010
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
42012
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
32015
Load allocation for optimal risk management in systems with incipient failure modes
BMC Bole
Georgia Institute of Technology, 2013
32013
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
32012
Development and Implementation of a Hardware in-the-loop test bed for Unmanned Aerial Vehicle control algorithms
E Nyangweso, B Bole
12014
Load allocation for risk management in overactuated systems experiencing incipient failure conditions
BM Bole, DW Brown, HL Pei, K Goebel, L Tang, G Vachtsevanos
2010 Conference on Control and Fault-Tolerant Systems (SysTol), 382-386, 2010
12010
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