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Hamed Khorasgani
Hamed Khorasgani
Workday
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Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control.
O Niggemann, G Biswas, JS Kinnebrew, H Khorasgani, S Volgmann, ...
DX, 185-192, 2015
1112015
Methodologies for system-level remaining useful life prediction
H Khorasgani, G Biswas, S Sankararaman
Reliability Engineering & System Safety 154, 8-18, 2016
752016
A Common Framework for Compilation Techniques Applied to Diagnosis of Linear Dynamic Systems
A Bregon, G Biswas, B Pulido, C Alonso-González, H Khorasgani
evaluation 44 (7), 2, 2013
352013
A framework for unifying model-based and data-driven fault diagnosis
H Khorasgani, A Farahat, K Ristovski, C Gupta, G Biswas
PHM society conference 10 (1), 1-10, 2018
332018
Structural fault detection and isolation in hybrid systems
H Khorasgani, G Biswas
IEEE Transactions on Automation Science and Engineering 15 (4), 1585-1599, 2017
332017
An Approach To Mode and Anomaly Detection With Spacecraft Telemetry Data
G Biswas, H Khorasgani, G Stanje, A Dubey, S Deb, S Ghoshal
International Journal of Prognostics and Health Management 7 (Special Issue …, 2016
262016
Fault detection and isolation in industrial networks using graph convolutional neural networks
H Khorasgani, A Hasanzadeh, A Farahat, C Gupta
2019 IEEE International Conference on Prognostics and Health Management …, 2019
252019
Structural approach for distributed fault detection and isolation
H Khorasgani, D Jung, G Biswas
IFAC-PapersOnLine 48 (21), 72-77, 2015
252015
Remaining useful life estimation for systems with abrupt failures
W Huang, H Khorasgani, C Gupta, A Farahat, S Zheng
Annual conference of the PHM society. September, 24-27, 2018
192018
Analysis of fault isolation assumptions when comparing model-based design approaches of diagnosis systems
D Jung, H Khorasgani, E Frisk, M Krysander, G Biswas
IFAC-PapersOnLine 48 (21), 1289-1296, 2015
182015
Robust Residual Selection for Fault Detection
H Khorasgani, D Eriksson, G Biswas, E Frisk, M Krysander
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on, 5764 - 5769, 2014
182014
Dynamic dispatching for large-scale heterogeneous fleet via multi-agent deep reinforcement learning
C Zhang, P Odonkor, S Zheng, H Khorasgani, S Serita, C Gupta, H Wang
2020 IEEE International Conference on Big Data (Big Data), 1436-1441, 2020
172020
Structural methodologies for distributed fault detection and isolation
H Khorasgani, G Biswas, D Jung
Applied Sciences 9 (7), 1286, 2019
172019
A methodology for monitoring smart buildings with incomplete models
H Khorasgani, G Biswas
Applied Soft Computing 71, 396-406, 2018
162018
Comparison of model predictive and reinforcement learning methods for fault tolerant control
I Ahmed, H Khorasgani, G Biswas
IFAC-PapersOnLine 51 (24), 233-240, 2018
162018
An Application of Data Driven Anomaly Identification to Spacecraft Telemetry Data
G Biswas, H Khorasgani, G Stanje, A Dubey, S Deb, S Ghoshal
142016
A non-linear function-on-function model for regression with time series data
Q Wang, H Wang, C Gupta, AR Rao, H Khorasgani
2020 IEEE International Conference on Big Data (Big Data), 232-239, 2020
122020
Datenanalyse in der intelligenten Fabrik
O Niggemann, G Biswas, JS Kinnebrew, H Khorasgani, S Volgmann, ...
Handbuch Industrie 4.0 Bd. 2: Automatisierung, 471-490, 2017
122017
Off-line robust residual selection using sensitivity analysis
H Khorasgani, D Jung, G Biswas, E Frisk, M Krysander
25th International Workshop on Principles of Diagnosis (DX-14). Graz …, 2014
122014
Challenges of applying deep reinforcement learning in dynamic dispatching
H Khorasgani, H Wang, C Gupta
arXiv preprint arXiv:2011.05570, 2020
102020
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Artikelen 1–20