Hamed Khorasgani
Hamed Khorasgani
Hitachi America
確認したメール アドレス: hal.hitachi.com
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@ Safeprocess, 185-192, 2015
Methodologies for system-level remaining useful life prediction
H Khorasgani, G Biswas, S Sankararaman
Reliability Engineering & System Safety 154, 8-18, 2016
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
Structural approach for distributed fault detection and isolation
H Khorasgani, D Jung, G Biswas
IFAC-PapersOnLine 48 (21), 72-77, 2015
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
Structural fault detection and isolation in hybrid systems
H Khorasgani, G Biswas
IEEE Transactions on Automation Science and Engineering 15 (4), 1585-1599, 2017
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
Off-line robust residual selection using sensitivity analysis
H Khorasgani, D Eriksson, G Biswas, E Frisk, M Krys
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
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), 2018
An Application of Data Driven Anomaly Identification to Spacecraft Telemetry Data
G Biswas, H Khorasgani, G Stanje, A Dubey, S Deb, S Ghoshal
A methodology for monitoring smart buildings with incomplete models
H Khorasgani, G Biswas
Applied Soft Computing 71, 396-406, 2018
Degredation modeling and remaining useful life prediction of electrolytic capacitors under thermal overstress condition using particle filters
H Khorasgani, C Kulkarni, G Biswas, JR Celaya, K Goebel
Annual Conference of the Prognostics and Health Management Society (PHM’13), 2013
Remaining useful life estimation for systems with abrupt failures
W Huang, H Khorasgani, C Gupta, A Farahat, S Zheng
PHM Society Conference 10 (1), 2018
Minimal Structurally Overdetermined Sets Selection for Distributed Fault Detection
H Khorasgani, G Biswas, D Jung
Proceedings of the 26th International Workshop on Principles of Diagnosis, 75-82, 2015
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
A combined model-based and data-driven approach for monitoring smart buildings.
H Khorasgani, G Biswas
DX, 21-36, 2017
Datenanalyse in der intelligenten Fabrik
O Niggemann, G Biswas, JS Kinnebrew, H Khorasgani, S Volgmann, ...
Handbuch Industrie 4.0 Bd. 2, 471-490, 2017
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
Model-and data-driven approaches to fault detection and isolation in complex systems
H Khorasgani
Vanderbilt University, 2018
論文 1–20