[1] S. Ayyalasomayajula, N. Nigam, P. Chen, A. Sridharan, I. Chopra, A Tool-kit for Rotorcraft Regime Recognition Codes Validation, AIAA Atmospheric Flight Mechanics Conference, Denver, Colorado, 2017.
[2] AC 27-1B: Advisory Circular on Certification Of Normal Category Rotorcraft, Change 6 ed., US Department of Transportation - Federal Aviation Administration, 2014.
[3] ADS-51-HDBK: Aeronautical Design Standard Handbook: Rotorcraft And Aircraft Qualification (RAQ) Handbook, St. Louis, Missouri: US Army Aviation and Troop Command - Aivation R&D Center, 1996.
[4] B. Dickson, J. Cronkhite, S. Bielefeld, L. Killian, R. Hayden, Feasibility Study of a Health and Usage Monitoring System (HUMS): Usage and Structural Life Monitoring Evaluation, NASA Lewis Research Center, 1996.
[5] J. Zakrajsek, P. Dempsey, Rotorcraft Health Management Issues and Challenges, NASA Center for Aerospace Information, 2006.
[6] P.J. Dempsey, D.G. Lewicki, D.D. Le, Investigation of Current Methods to Identify Helicopter Gear Health, IEEE Aerospace Conference, pp. 1-13, 2007.
[7] AC 29-2C: Advisory Circular on Certification of Transport Category Rotorcraft, Change 4 ed., US Department of Transportation, Federal Aviation Administration, 2014.
[8] D. C. Lombardo, Helicopter Flight Condition Recognition: A Minimalist Approach, Australian Joint Conference on Artificial Intelligence, 1998.
[9] D. He, S. Wu, E. Bechhoefer, Development of Regime Recognition Tools for Usage Monitoring, IEEE Aerospace Conference Proceedings, 2007.
[10] S. Wu, E. Bechhoefer, D. He, A Practical Regime Prediction Approach for HUMS Applications, American Helicopter Society 63rd Annual Forum, Virginia Beach, VA, 2007.
[11] H. Keiqobadi, S.A. Seyyedin, Detection of Flight Disorder in Airplane Landing Operation using Hidden Markov Model, 6th Conference on Artificial Intellingece and Robotics, Qazvin, Iran, 2016. (in Persian)
[12] H. MohamadKhanlou, M.R. Taghizadeh, Vibration Response Analysis of Pilot Body's Dynamic Models in Flight Maneuvering, Journal of Aeronautical Engineering, Vol. 1, pp. 56-44, 2019. (in Persian)
[13] B.J. Baskett, ADS-33-PRF: Aeronautical Design Standard on Performance Specification Handling Qualitites Requirements for Military Rotorcraft, Redstone Arsenal, Alabama: US Army Aviation and Missile Command, Aviation Engineering Directorate, 2000.
[14] A. Mohamed, K. Schwarz, Adaptive Kalman Filtering for INS/GPS, Journal of Geodesy, Vol. 73, No. 4, pp. 193-203, 1999.
[15] A. Almagbile, J. Wang, W. Ding, Evaluating the Performances of Adaptive Kalman Filter Methods in GPS/INS Integration, Journal of Global Positioning Systems, Vol. 9, No. 1, pp. 33-40, 2010.
[16] S. Akhlaghi, N. Zhou, Z. Huang, Adaptive adjustment of noise covariance in Kalman filter for dynamic state estimation, IEEE Power & Energy Society General Meeting, Chicago, IL, USA, 2017.
[17] D. Simon, Optimal State Estimation: Kalman, H_inf, and Nonlinear Approaches, Hoboken, New Jersey: John Wiley & Sons, Inc. , 2006.
[18] N. Zhou, D. Meng, Z. Huang, G. Welch, Dynamic State Estimation of a Synchronous Machine Using PMU Data: A Comparative Study, IEEE Transactions on Smart Grid, Vol. 6, No. 1, pp. 450-460, 2014.
[19] J. A. Lusardi, C. L. Blanken, M. B. Tischler, Piloted Evaluation of a UH-60 Mixer Equivalent Turbulence Simulation Model, American Helicopter Society 59th Annual Forum, Phoenix, Arizona, 2003.
[20] J. Howlett, UH-60A Black Hawk Engineering Simulation Program - Vol. I:Mathematical Model, NASA Ames Research Center, 1988.
[21] J. Howlett, UH-60A Black Hawk Engineering Simulation Program - Vol II: Background Report, NASA Ames Research Center, 1988.
[22] R.E. Rajnicek, Application of Kalman Filtering to Real-time Flight Regime Recognition Algorithms in a Helicopter Health and Usage Monitoring System, Embry-Riddle Aeronautical University, Daytona Beach, 2008.