Dr.-Ing. Adel Haghani

Forschungsschwerpunkte

  • Fehlerdiagnose und fehlertolerante Regelungen
  • datenbasierte Methoden zur Modellierung technischer Systeme
  • Monitoring und Zustandsüberwachung von Windkraftanlagen
  • Regelung und Automatisierung maritimer Systeme

Veröffentlichungen

Monographies, Journals, Patents

  • S. Yin, H. Yu, R. Shahnazi, and A. Haghani, “Fuzzy Adaptive Tracking Control of Constrained Nonlinear Switched Stochastic Pure-Feedback Systems,” IEEE Transactions on Cybernetics, vol. PP, no. 99, pp. 1–10, 2016.
  • A. Haghani, T. Jeinsch, M. Roepke, S. X. Ding, and N. Weinhold, “Data-driven monitoring and validation of experiments on automotive engine test beds,” Control Engineering Practice, vol. 54, pp. 27–33, Sep. 2016.
  • R. Shahnazi, A. Haghani, and T. Jeinsch, “Adaptive fuzzy observer-based stabilization of a class of uncertain time-delayed chaotic systems with actuator nonlinearities,” Chaos, Solitons & Fractals, vol. 76, pp. 98–110, Jul. 2015.
  • Kurowski, M., Haghani, A., Koschorrek, P., & Jeinsch, T. (2015). Guidance, Navigation and Control of Unmanned Surface Vehicles. at-Automatisierungstechnik, 63(5), 355-367.
  • Haghani, Data-Driven Design of Fault Diagnosis Systems: Nonlinear Multi-mode Processes. Springer, 2014.
  • Haghani, T. Jeinsch, and S. Ding, Quality related fault detection in industrial multimode dynamic processes, IEEE Transactions on Industrial Electronics, vol. 61, no. 11, pp. 1–8, 2014.
  • Kolewe, A. Haghani; R. Beckmann, T. Jeinsch, Gaussian mixture regression and local linear network model for data-driven estimation of air mass. IET Control Theory & Applications, iet-cta.2014, pp. 1-10
  • M. Krüger, T. Jeinsch, P. Engel, S.X. Ding, A. Haghani, Zustandsüberwachung und Performanceprognose. atp edition-Automatisierungstechnische Praxis, Band 56, Ausgabe 10, Seiten 42-51, Oldenbourg Industrieverlag, 2014.
  • S. Yin, S. X. Ding, A. Haghani, H. Hao, and P. Zhang, “A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process,” Journal of Process Control, vol. 22, no. 9, pp. 1567–1581, Oct. 2012.
  • S. Yin, S. X. Ding, Adel Haghani, and H. Hao, “Data-driven monitoring for stochastic systems and its application on batch process,” International Journal of Systems Science, pp. 1–11, 2012.

Peer Reviewed Proceedings

  • A. Haghani, M. Krueger, T. Jeinsch, S. X. Ding, and P. Engel, „Data-Driven Multimode Fault Detection for Wind Energy Conversion Systems“, in 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Paris, 2015.
  • R. Shahnazi, Q. Zhao, A. Haghani, and T. Jeinsch, „Dynamic nonlinear unknown input observer for fault detection of induction motors“, in 23rd Iranian Conference on Electrical Engineering (ICEE), 2015, S. 823–828.
  • Haghani, S. X. Ding, H. Hao, S. Yin, and T. Jeinsch, “An Approach for Multimode Dynamic Process Monitoring Using Bayesian Inference,” in 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Mexico City, 2012.
  • Haghani, S. X. Ding, J. Esch, and H. Hao, Data-Driven Quality Monitoring and Fault Detection for Multimode Nonlinear Processes, in 51st IEEE Conference on Decision and Control, Maui, Hawaii, 2012.
  • Haghani, S. X. Ding, T. Jeinsch, H. Hao, and H. Luo, “MAP criterion for condition-based maintenance in industrial processes,” in 2013 Conference on Control and Fault-Tolerant Systems (SysTol), 2013, pp. 413–418.
  • Haghani, T. Jeinsch, S.X. Ding, P. Koschorrek, B. Kolewe, A Probabilistic Approach for Data-Driven Fault Isolation in Multimode Processes. Proceedings of the 19th IFAC World Congress, pp. 8909-8914, Cape Town, South Africa, 2014.
  • H. Hao, K. Zhang, SX. Ding, A. Haghani, H. Luo, A data-based performance management framework for large-scale industrial processes, Control Applications (CCA), 2014 IEEE Conference on, 2014.
  • M. Krueger, A. Haghani, S.X. Ding, T. Jeinsch, P. Engel, A Data-Driven Maintenance Support System for Wind Energy Conversion Systems. Proceedings of the 19th IFAC World Congress, pp. 11470-11475, Cape Town, South Africa, 2014.
  • Kolewe, A. Haghani, R. Beckmann, R. Noack, T. Jeinsch, Data-Driven Estimation of Air Mass using Gaussian Mixture Regression. Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, Istanbul, (TR), 01.06.-04.06.2014, pp: 2429-2434, IEEE Catalog Number: CFP14ISI-USB, ISBN: 978-1-4799-2398-4.
  • R. Noack, T. Jeinsch, A. Haghani, N. Weinhold, Data-Driven Self-Tuning Feedforward Control by Iterative Learning Control. Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, Istanbul (TR), 01.06.-04.06.2014, pp: 2435-2440, IEEE Catalog Number: CFP14ISI-USB, ISBN: 978-1-4799-2398-4.
  • R. Noack, T. Jeinsch, A. Haghani, N. Weinhold, Data-Driven Self-Tuning Control by Iterative Learning Control with Application to Optimize the Control Parameter of Turbocharged Engines. Proceedings of the 19th IEEE International Conference on Methods and Models in Automation and Robotics, Miedzyzdroje (PL), 02.09.-05.09.2014, pp: 839-844, IEEE Catalog Number: CFP14MMA-CDR, ISBN: 978-1-4799-5082-9.
  • M. Krüger, S.X. Ding, A. Haghani, P. Engel, T. Jeinsch, A Data-Driven Approach for Fault Diagnosis in Gearbox of Wind Energy Conversion System. Proceedings International Conference on Control and Fault-Tolerant Systems, IEEE SYSTOL, pp. 227-232, Nizza (F), 09.-11.10.2013.
  • H. Luo, S.X. Ding, A. Haghani, H. Hao, S. Yin, T. Jeinsch, Data-driven design of KPI-related fault-tolerant control system for wind turbines. Proceedings IEEE American Control Conference (ACC), pp. 4465-4470, Washington, DC (USA), 17.-19.06.2013.
  • M. Krüger, S.X. Ding, A. Haghani, P. Engel, T. Jeinsch, A data-driven approach for sensor fault diagnosis in gearbox of wind energy conversion system. Proceedings 10th IEEE International Conference on Control and Automation (ICCA), pp. 227-232, Hangzhou (CN), 12.-14.06.2013.
  • H. Hao, S. X. Ding, A. Haghani, and S. Yin, “An observer-based fault detection scheme for distributed parameter systems of hyperbolic type and its application in paper production process,” in The 8th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Processes; Safeprocess, (Mexico City), Aug. 2012.
  • Haghani, S. X. Ding, S. Yin, H. Hao, and T. Jeinsch, “Application of data-driven methods for process performance management,” in PAPYRUS Workshop on Fault Diagnosis and Fault Tolerant Control in large scale processing industries, (Porticcio), 2011.
  • S. Yin, SX. Ding, A. Haghani, H. Hao, and P. Zhang, “Application of basic data-driven PM-FD methods on TE process,” in PAPYRUS Workshop on Fault Diagnosis and Fault Tolerant Control in large scale processing industries, (Porticcio), Oct. 2011.
  • H. Hao, SX. Ding, A. Haghani, S. Yin, and T. Jeinsch, “Influence of additive and multiplicative faults on process output variances,” in PAPYRUS Workshop on Fault Diagnosis and Fault Tolerant Control in large scale processing industries, (Porticcio), Oct. 2011.
  • W. Chen, SX. Ding, A. Haghani, A. Naik, A. Khan, and S. Yin, “Observer-based FDI schemes for wind turbine benchmark,” in Proceedings of the 18th IFAC World Congress, (Milano Italy), pp. 7073–7078, Aug. 2011.
  • S. Yin, S. X. Ding, P. Zhang, A. Haghani, and A. Naik, “Study on modifications of PLS approach for process monitoring,” in Proceedings of the 18th IFAC World Congress, (Milano Italy), Aug. 2011.
  • S. Yin, X. D. Steven, A. Naik, P. Deng, and A. Haghani, “On PCA-based fault diagnosis techniques,” in 2010 Conference on Control and Fault-Tolerant Systems (SysTol), pp. 179–184, IEEE, Oct. 2010.