PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

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• Ahmad, M., & Mohd-Mokhtar, R. (2021). Fault detection full order filter apply to discrete time-invariant linear system. Journal of Engineering Science and Technology, 16(5), 4221-4234.

• Ahmad, M., & Mohd-Mokhtar, R. (2022). A survey on model based fault detection techniques for linear time invariant systems with numerical analysis. Pertanika Journal of Science & Technology, 30(1), 53-78. https://doi.org/10.47836/pjst.30.1.04

• Ammiche, M., Kouadri, A., Halabi, L. M., Guichi, A., & Mekhilef, S. (2018). Fault detection in a grid-connected photovoltaic system using adaptive thresholding method. Solar Energy, 174, 762-769. https://doi.org/10.1016/j.solener.2018.09.024

• Blanke, M., Kinnaert, M., Lunze, J., & Staroswiecki, M. (2015). Diagnosis and Fault-Tolerant Control (3rd ed.). Springer.

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• Chen, J., & Patton, R. J. (2012). Robust Model-Based Fault Diagnosis for Dynamic Systems. Springer Science & Business Media.

• Ding, S. X. (2013). Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools. Springer Science & Business Media.

• Ding, S. X. (2014). Data-Driven Design of Fault Diagnosis and Fault-Tolerant Control Systems. Springer Science & Business Media.

• Gertler, J. J. (2017). Fault Detection and Diagnosis in Engineering Systems. CRC Press.

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• Montes de Oca, S., Puig, V., & Blesa, J. (2012). Robust fault detection based on adaptive threshold generation using interval LPV observers. International Journal of Adaptive Control and Signal Processing, 26(3), 258-283. https://doi.org/10.1002/acs.1263

• Na, Y., & Ahmad, M. (2019). A fault detection scheme for switched systems with noise under asynchronous switching. In 9th International Conference on Information Science and Technology (pp. 258-262). IEEE Publishing. https://doi.org/10.1109/ICIST.2019.8836838

• Rahnavard, M., Ayati, M., Yazdi, M. R. H., & Mousavi, M. (2019). Finite time estimation of actuator faults, states, and aerodynamic load of a realistic wind turbine. Renewable Energy, 130, 256-267. https://doi.org/10.1016/j.renene.2018.06.053

• Puig, V., Montes de Oca, S., & Blesa, J. (2013). Adaptive threshold generation in robust fault detection using interval models: Time‐domain and frequency‐domain approaches. International Journal of Adaptive Control and Signal Processing, 27(10), 873-901. https://doi.org/10.1002/acs.2362

• Raka, S. A., & Combastel, C. (2013). Fault detection based on robust adaptive thresholds: A dynamic interval approach. Annual Reviews in Control, 37(1), 119-128. https://doi.org/10.1016/j.arcontrol.2013.04.001

• Salimi, A., Batmani, Y., & Bevrani, H. (2019). Model-based fault detection in DC microgrids. In 2019 Smart Grid Conference (SGC) (pp. 1-6). IEEE Publishing. https://doi.org/10.1109/SGC49328.2019.9056589