Open Access Journal

ISSN : 2395-2717 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Electrical and Electronic Engineering(IJEREEE)

Monthly Journal for Electrical and Electronic Engineering

ISSN : 2395-2717 (Online)

Reference :

    1.  V. Venkata subramanian, R. Rengaswamy, and K. Yin, “A review of process fault detection and diagnosis Part I: Quantitative model-based methods,” Comput. Chem.Eng., vol. 27, pp. 293–311, 2003.
    2. V. Venkatasubramanian, R. Rengaswamy, and S. N. Ka, “A review of process fault detection and diagnosis Part II : Qualitative models and search strategies,” Comput. Chem. Eng., vol. 27, pp. 313–326, 2003
    3. V. Venkatasubramanian, R. Rengaswamy, and S. N. Ka, “A review of process fault detection and diagnosis Part III : Process history based methods,” Comput. Chem. Eng., vol. 27, 2003.
    4. C. Gajanayake, B. S. Bhangu, G. Foo, X. Zhang, K. J. Tseng, and M. Don Vilathgamuwa, “Sensor fault detection, isolation and system reconfiguration based on extended Kalman filter for induction motor drives,” IET Electr. Power Appl., vol. 7, no. 7, pp. 607–617, Aug.2013.
    5. S. A. Gadsden, Y. Song, and S. R. Habibi, “Novel ModelBased Estimators for the Purposes of Fault Detection and Diagnosis,” IEEE/ASME Trans. Mechatronics, vol. 18, no. 4, pp. 1237–1249, 2013.
    6. S. Benmoussa, B. O. Bouamama, and R. Merzouki, “Bond Graph Approach for Plant Fault Detection and Isolation : Application to Intelligent,” IEEE Trans. Autom. Sci. Eng., vol. 11, no. 2, pp. 585–593, 2014.

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