1. Aldemir, T., Miller, D.W., Stovsky, M. P., Kirschenbaurr, J., Bucci, P., Fentiman, A.W., Mangan, L.T., 2006. Current state of reliability modeling methodologies for digital systems and their acceptance criteria for nuclear power plant assessments. US Nuclear Regulatory Commission.
2. Aldemir, T., Stovsky, M.P., Kirschenbaum, J., Mandelli, D., Bucci P., Mangan, L.A., Miller, D.W., Sun, X., Ekici, E., Guarro, S., Yau, M., Johnson, B., Elks, C., Arndt. S.A., 2007. Dynamic reliability modeling of digital instrumentation and control systems for nuclear reactor probabilistic risk assessments. US Nuclear Regulatory Commission, Office of Nuclear Regulatory Research.
3. Aldemir, T., Guarro, S., Kirschenbaum, J., Mandelli, D., Mangan, L.A., Bucci, P., Yau, M., Johnson, B., Elks, C., Ekici, E., Stovsky, M.P., Miller, D.W., Sun, X., Arndt, S.A., Nguyen, Q., Dion J., 2009. A benchmark implementation of two dynamic methodologies for the reliability modeling of digital instrumentation and control systems. US Nuclear Regulatory Commission, Office of Nuclear Regulatory Research.
4. Modeling, detection, and disambiguation of sensor faults for aerospace applications;Balaban;Sens. J., IEEE,2009
5. Comparison of data-driven reconstruction methods for fault detection;Baraldi;IEEE Trans. Reliab.,2015