Publications

Legend

[In Preparation] [Submitted] [In-Press]

Peer-reviewed Journal Articles

  1. Rahimi A, (2023). Fault Diagnosis and Prognosis of Space Systems Using Data-Driven Methods: A Survey, AIAA Journal of Spacecraft and Rockets [Ref: N/A] [In Preparation]

  2. Ziaei A, Sinafar B, Kharrati H*, and Rahimi A (2022). Online-learning-based Event-triggered Fault-tolerant Attitude Control for Spacecraft with Actuator Faults, ISA Transactions [Ref: N/A] [Submitted]

  3. Aslmostafa E, Asadollahi M, Kharrati H*, Rahimi A, Mirzaei M J (2022). Command-Filter-Based Backstepping for a Class of Nonlinear Systems with Finite-Time Observer in the Presence of Mismatched Disturbances, Nonlinear Dynamics [Ref: NODY-D-22-02701] [Submitted]

  4. Kazemi A, Kharrati H*, Rahimi A (2022). Fault-Tolerant Consensus Tracking Control for Leader-Follower Multi-agent Systems under Sensor and Actuator Faults, Journal of the Franklin Institute [Ref: FI-D-22-01457] [Submitted]

  5. Sinafar B, Kharrati H*, Rahimi A (2022). Observer Based Event-Triggered Leader Following Spacecraft Control Considering Actuator Nonlinearity, European Journal of Control [Ref: - N/A] [Submitted]

  6. Bazmi, F*; Rahimi, A. (2022). Off-Design Analysis Method for Compressor Fouling Fault Diagnosis of Helicopter Turboshaft Engine. Journal, [Ref: N/A] [In Preparation]

  7. Ziaei A, Kharrati H*, Rahimi A (2022). Reinforcement learning-based optimal fault-tolerant attitude control for a rigid satellite subjected to actuator faults and unknown actuator saturation. Optimal Control Applications and Methods [Ref: - OCAM-22-0509] [Submitted]

  8. Bhat, A*; Rehman, U*; Ahsan, H*; Rahimi, A (2022), Monitoring Water Health with Autonomous Single Rotor UAVs, IEEE Potentials, [Ref: POT-2021-0041] [In-Press]

  9. Ahmad M*, Rahimi A. (2022). Deep learning methods for object detection in industrial applications: A survey. Elsevier Journal of Manufacturing Systems, vol. 64, July 2022, pp. 181-196, https://doi.org/10.1016/j.jmsy.2022.06.011

  10. Barzegar A, Rahimi, A. (2022). Fault Diagnosis and Prognosis for Satellite Formation Flying: A Survey IEEE Access, vol 10, pp. 26426-26442. https://doi.org/10.1109/ACCESS.2022.3156582

  11. Ziaei, A; Kharrati, H*; Salim, M; Rahimi, A (2022), Reinforcement Learning Based Optimal Fault-tolerant Control for Offshore Platforms, Part I: Journal of Systems and Control Engineering, vol 236, no. 6, pp. 1187-1196, https://doi.org/10.1177/09596518221080323

  12. Bazmi, F*; Rahimi, A. (2022). Calculation of Air Velocity on the Helicopter Turboshaft Engines Inlet. SAE International Journal of Engines, 15(4): pp. 581-597, 2022, https://doi.org/10.4271/03-15-04-0031

  13. Ziaei, A; Kharrati, H*; Rahimi, A (2021), Fault-tolerant Control for Nonlinear Offshore Steel Jacket Platforms Based on Reinforcement Learning, Journal of Ocean Engineering vol. 246, 2022, pp. 110247, https://doi.org/10.1016/j.oceaneng.2021.110247

  14. Folami, M*; Rahimi, A (2021), Reaction Wheels Fault Isolation Onboard 3-Axis Controlled Satellite using Enhanced Random Forest with Multidomain Features, International Journal of Prognostics and Health Management (IJPHM) vol 12, no. 2, pp. 1-14. https://doi.org/10.36001/ijphm.2021.v12i2.3078

  15. Sirajul Islam M*, Rahimi A (2021). A Three-Stage Data-Driven Approach for Determining Reaction Wheels’ Remaining Useful Life Using Long Short-Term Memory, Electronics 2021, vol 10, no. 19, pp. 2432. https://doi.org/10.3390/electronics10192432

  16. Bazmi, F*; Rahimi, A. (2021). Helicopter Turboshaft Engine Database as a Preliminary Design Tool. SAE International Journal of Engines SAE Technical Paper. vol 15, no. 1, pp. 03-15-01-0003. https://doi.org/10.4271/03-15-01-0003

  17. Varvani Farahani, H., & Rahimi, A. (2021). Data-Driven Fault Diagnosis for Satellite Control Moment Gyro Assembly with Multiple In-Phase Faults. Electronics, vol 10, no. 13, pp. 1537. http://dx.doi.org/10.3390/electronics10131537

  18. Rahimi A, (2021) Fault Isolation and Identification of a Four-Single-Gimbal Control Moment Gyro on-board a 3-Axis Stabilized Satellite, International Journal of Prognostics and Health Management Special Issue (IJPHM), vol 12, no. 3, pp 1-7. https://doi.org/10.36001/ijphm.2021.v12i3.2934

  19. Rahimi, A., & Saadat, A. (2020). Fault isolation of reaction wheels onboard three-axis controlled in-orbit satellite using ensemble machine learning. Aerospace Systems. vol 3, no. 2, pp. 119-126. https://doi.org/10.1007/s42401-020-00046-x

  20. Rahimi A, Dev Kumar K, Alighanbari H (2020) Fault detection and isolation of control moment gyros for satellite attitude control subsystem. Mech Syst Signal Process 135:106419. https://doi.org/10.1016/j.ymssp.2019.106419

  21. Rahimi A, Dev Kumar K, Alighanbari H (2020), Failure Prognosis for Satellite Reaction Wheels Using Kalman Filter and Particle Filter, J. Guid. Control. Dyn., vol. 43, no. 3, pp. 585–588, Mar. 2020, https://doi.org/10.2514/1.G004616.

  22. Rahimi A, Dev Kumar K, Alighanbari H (2019) Fault Isolation of Reaction Wheels for Satellite Attitude Control. IEEE Trans Aerosp Electron Syst 1–1. https://doi.org/10.1109/TAES.2019.2946665

  23. Rahimi A, Kumar KD, Alighanbari H (2017) Fault estimation of satellite reaction wheels using covariance-based adaptive unscented Kalman filter. Acta Astronaut 134:159–169. https://doi.org/10.1016/j.actaastro.2017.02.003

  24. Ahadi A, Rahimi A, Azad RK, Bandehali S (2015) An extension of linear-quadratic regulator trend to determine near-optimal performance of nonlinear systems using evolutionary algorithms. Int J Sp Sci Eng 3:171–198. https://doi.org/10.1504/IJSPACESE.2015.072346

  25. Rahimi A, Kumar KD, Alighanbari H (2015) Enhanced Adaptive Unscented Kalman Filter for Reaction Wheels. IEEE Trans Aerosp Electron Syst 51:1568–1575. https://doi.org/10.1109/TAES.2014.130766

  26. Rahimi A, Dev Kumar K, Alighanbari H (2013) Particle Swarm Optimization Applied to Spacecraft Reentry Trajectory. J Guid Control Dyn 36:307–310. https://doi.org/10.2514/1.56387

Peer-reviewed Conferences

  1. Parent T*, Defoe J, Rahimi A (2023). Modeloong of Air Conditioner for a Vehicle with Three Control Inputs. The Third International Nonlinear Dynamics Conference (NODYCON 2023) [In Preparation]

  2. Habibzadeh H, Ziaei A, Kharrati H*, Rahimi A (2022). Fault-tolerant Consensus Control for Hybrid Multi-agent Systems. In: 2022 IEEE International Conference on Prognostics and Health Management (ICPHM 2022), Detroit, US, pp. 64-69, https://doi.org/10.1109/ICPHM53196.2022.9815753

  3. Safar Ardabili S, Sinafar B, Kharrati H*, Rahimi A (2022). Investigating the Effect of Event-triggered Control and Nonlinear Actuator Dynamics on Spacecraft Attitude Stabilization. In: 2022 IEEE International Conference on Prognostics and Health Management (ICPHM 2022), Detroit, US, pp. 58-63, https://doi.org/10.1109/ICPHM53196.2022.9815680

  4. Ahmad M*, Rahimi A, Hayat K (2021). Deep Learning Transforming the Manufacturing Industry, A Case Study. In: 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), Haikou, China. pp. 1286-1291. https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00196

  5. Sirajul Islam M*, Rahimi A (2021). Fault Prognosis of Satellite Reaction Wheels Using A Two-Step LSTM Network. In: 2021 IEEE International Conference on Prognostics and Health Management (ICPHM 2021), Detroit, US, pp. 1-7, https://doi.org/10.1109/ICPHM51084.2021.9486655 [Best Paper Finalist]

  6. Rahimi A, Anvaripour M*, Hayat K (2021). Object Detection using Deep Learning in a Manufacturing Plant to Improve Manual Inspection. In: 2021 IEEE International Conference on Prognostics and Health Management (ICPHM 2021), Detroit, US, pp. 1-7, https://doi.org/10.1109/ICPHM51084.2021.9486529

  7. Varvani Farahani H*, Rahimi A (2021). An Optimized Support Vector Regression for Identification of In-phase Faults in Control Moment Gyroscope Assembly. In: 2021 IEEE International Conference on Prognostics and Health Management (ICPHM 2021), Detroit, US, pp. 1-7, https://doi.org/10.1109/ICPHM51084.2021.9486438

  8. Folami M*, Rahimi A, Saadat A* (2020) Fault Isolation of Reaction Wheels onboard 3-axis Controlled in-orbit Satellite Using Machine Learning Techniques, International Astronautical Conference 2020 (IAC20), B4. 27th IAA SYMPOSIUM ON SMALL SATELLITE MISSIONS, 9-GTS.5. Small Satellite Missions Global Technical Session (link)

  9. Sirajul Islam M*, Rahimi A (2020). Use of A Data-Driven Approach for Time Series Prediction in Fault Prognosis of Satellite Reaction Wheel. In: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Toronto, ON, Canada: IEEE, pp. 3624–3628. https://doi.org/10.1109/SMC42975.2020.9283435

  10. Varvani Farahani H*, Rahimi A (2020). Fault Diagnosis of Control Moment Gyroscope Using Optimized Support Vector Machine. In: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Toronto, ON, Canada: IEEE, pp. 3111–3116. https://doi.org/10.1109/SMC42975.2020.9283402

  11. Rahimi, A., Veliz Castro, M.* (2020) Design, Fabrication, and Test of a Single Rotor Modular Unmanned Aerial Vehicle for Algae Bloom Monitoring of Lake Erie. In: University of Windsor's UWILL DISCOVER 2020. Windsor, Ontario. (abstract)

  12. Rahimi A, Raad E* (2019) Machine Learning Applied to Control Moment Gyroscope Fault Diagnosis. In: 568th International Conference on Science, Technology, Engineering and Management (ICSTEM). Research World , Ottawa, Canada (link)

  13. Rahimi A, Saadat A* (2019) Fault isolation of reaction wheels onboard 3-axis controlled in-orbit satellite using ensemble machine learning techniques. In: The International Conference on Aerospace System Science and Engineering. University of Toronto Institute for Aerospace Studies, Toronto, Ontario (link)

  14. Rahimi, A., Raahemifar, K., Kumar, K. D., & Alighanbari, H. (2013). Controller Design for Rotary Inverted Pendulum System Using Evolutionary Algorithms. Canadian Aeronautics and Space Institute (CASI) AERO 13.

  15. Rahimi, A., Raahemifar, K., Kumar, K., & Alighanbari, H. (2013). Controller design for rotary inverted pendulum system using particle swarm optimization algorithm. 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 1–5. https://doi.org/10.1109/CCECE.2013.6567710

  16. Rahimi, A., Kumar, K. D., & Alighanbari, H. (2012). Particle Swarm Optimization Aided Kalman Filter for Fault Detection, Isolation and Identification of A Reaction Wheel Unit. Canadian Aeronautics and Space Institute (CASI) ASTRO 12.

  17. Rahimi, A., & Ahadi, A. (2012). Determining A Starting Point with A GA Aided Approach For PD Controller Tuning Using Gradient-Based Optimization Methods. Canadian Aeronautics and Space Institute (CASI) ASTRO 12.

Chapters in Book

  1. Rahimi A (2021) Controlling Satellites with Reaction Wheels. In Learning Control: Applications in Robotics and Complex Dynamical Systems (D. Zhang and B. Wei, eds.), Elsevier, Amsterdam, Netherlands, 2020, pp. 221–242. https://doi.org/10.1016/B978-0-12-822314-7.00014-6

Thesis/Dissertation

  1. Fault Diagnosis And Prognosis Of Satellite Attitude Control System With Reaction Wheels And Control Moment Gyros. (2017). Ryerson University. Doctorate. Number of Pages: 140 Supervisor: Kumar, Krishna Dev; Alighanbari, Hekmat

  2. Particle Swarm Optimization Based Adaptive Kalman Filters for Fault Diagnosis of Reaction Wheels. (2012). Ryerson University. Master's Thesis. Number of Pages: 121 Supervisor: Kumar, Krishna Dev; Alighanbari, Hekmat

  3. Optimization of Re-entry Trajectory with Particle Swarm Optimization. (2010). K. N. Toosi University of Technology. Bachelor's. Number of Pages: 180 Supervisor: Basohbat Novinzadeh, Alireza

Technical Reports

  1. OilAT Digital Services User Interface Requirements (2018). Pratt & Whitney Canada

  2. OilAT Database and Interface Requirements (2018). Pratt & Whitney Canada

  3. Interface Requirements for Oil Sample Analysis Data (2018). Pratt & Whitney Canada

  4. Data Collection & Health Trend Monitoring - Faults Diagnostics And Prognostics for Pw150 Engines (2018). Pratt & Whitney Canada