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Model-Based Off-Nominal State Identification and Detection
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Resources


White Papers

The whitepapers are grouped by the following categories to help you locate the right resource. Click on the category below to go directly there.


Introduction to MONSID

Read basic information about model-based fault detection, MONSID models, and the diagnostic engine.

K. Kolcio,
"Model-Based Fault Detection and Isolation System for Increased Autonomy"
AIAA SPACE 2016-5225, 13 - 16 September 2016,
https://doi.org/10.2514/6.2016-5225

K. Kolcio and L. Fesq,
"Model-based off-nominal state isolation and detection system for autonomous fault management"
2016 IEEE Aerospace Conference, 2016, pp. 1-13,
https://doi.org/10.1109/AERO.2016.7500793


Autonomy Architecture

Read about using the MONSID Health Assessment for onboard execution and planning.

Pesola, E., Kolcio, K., Prather, M., & Ildefonso, A. (2023)
"A Hybrid Model-Based and Data-Driven Framework for Automated Spacecraft Fault Detection"
Annual Conference of the PHM Society, 15(1)
https://doi.org/10.36001/phmconf.2023.v15i1.3461

R. Amini, L. Fesq, K. Kolcio, R. Mackey, M. Troesch,
"FRESCO: A Framework for Spacecraft Systems Autonomy"
IEEE Aerospace Conference, Mar 6-13 2021,
https://doi.org/10.1109/AERO50100.2021.9438470

Amini, R., Chien, S., Fesq, L., Frank, J., Kolcio, K., et al. (2020)
"Enabling and Enhancing Astrophysical Observations with Autonomous Systems"
Bulletin of the AAS, 51(7),
https://baas.aas.org/pub/2020n7i287

M. S. Feather et al.,
"Demonstrations of System-Level Autonomy for Spacecraft"
2021 IEEE Aerospace Conference (50100), 2021, pp. 1-18,
https://doi.org/10.1109/AERO50100.2021.9438427


Model-based Fault Diagnosis Verification & Validation

Read about how model-based fault diagnosis provides complexity analysis and assurance for correctness, completeness, and performance.

A. Nikora et al.,
"Demonstrating Assurance of Model-Based Fault Diagnosis Systems on an Operational Mission"
2020 IEEE Aerospace Conference, 2020, pp. 1-16,
https://doi.org/10.1109/AERO47225.2020.9172282

A. Nikora, P. Srivastava, L. Fesq, S. Chung, K. Kolcio and M. Prather,
"Assuring Correctness, Completeness, and Performance for Model-Based Fault Diagnosis System"
2019 IEEE Aerospace Conference, 2019, pp. 1-14,
https://doi.org/10.1109/AERO.2019.8741790

M. Prather and K. Kolcio,
"Complexity Analysis for Model-Based Fault Diagnosis Systems"
2019 IEEE International Conference on Space Mission Challenges for Information Technology (SMC-IT), 2019, pp. 112-112,
https://doi.org/10.1109/SMC-IT.2019.00021

A. Nikora, P. Srivastava, L. Fesq, S. Chung and K. Kolcio,
"Assurance of model-based fault diagnosis"
2018 IEEE Aerospace Conference, 2018, pp. 1-14,
https://doi.org/10.1109/AERO.2018.8396550
View the PDF slidedeck...


Applications

Read about real-life applications of MONSID such as CubeSat, rovers, and other autonomous systems.

Ksenia Kolcio; Maurice Prather
"Implementation and Evaluation of Model-based Health Assessment for Spacecraft Autonomy"
IEEE Aerospace Conference, March 4-11, 2023
https://doi.org/10.1109/AERO55745.2023.10116001
View the PDF slidedeck...

Thomas Touma; Ersin Daş; Joel W. Burdick; Evan Bock Clark; Ryan Mackey; Martin S. Feather; Lorraine M. Fesq; Ksenia O. Kolcio; Maurice Prather,
"Towards Robust, Resilient Ocean World Science Sampling Systems"
IEEE Aerospace Conference, March 4-11, 2023
https://doi.org/10.1109/AERO55745.2023.10115718

R. Mackey, A. Nikora, Fesq L., K. Kolcio,
"On-Board Model Based Fault Diagnosis for CubeSat Attitude Control Subsystem: Flight Data Results"
IEEE Aerospace Conference, Mar 6-13 2021,
https://doi.org/10.1109/AERO50100.2021.9438342

L. Fesq et al.,
"Results from the ASTERIA CubeSat Extended Mission Experiments"
2021 IEEE Aerospace Conference (50100), 2021, pp. 1-11,
https://doi.org/10.1109/AERO50100.2021.9438402

Gaines, D, Doran, G, Paton, M, et al.
"Self-reliant rovers for increased mission productivity"
Journal of Field Robotics. 2020; 37: 1171– 1196,
https://doi.org/10.1002/rob.21979

K. Kolcio, R. Mackey and L. Fesq,
"Model-Based Approach to Rover Health Assessment - Mars Yard Discoveries"
2019 IEEE Aerospace Conference, 2019, pp. 1-12,
https://doi.org/10.1109/AERO.2019.8741923

K. Kolcio, L. Fesq and R. Mackey,
"Model-based approach to rover health assessment for increased productivity"
2017 IEEE Aerospace Conference, 2017, pp. 1-13,
https://doi.org/10.1109/AERO.2017.7943835

View papers on Dimensions research database...


Videos

AFRL split screen demonstration: testbed hardware and MONSID Toolkit Video...

Caltech Autonomous Imaging of an Asteroid using Spacecraft Simulator Video...