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Exploring multi-objective trade-offs in the design space of a waste heat recovery system (2017)
Journal Article
Mokhtar, M., Burns, S., Ross, D., & Hunt, I. (2017). Exploring multi-objective trade-offs in the design space of a waste heat recovery system. Applied Energy, 195, 114-124. https://doi.org/10.1016/j.apenergy.2017.03.030

A waste heat recovery system (WHRS) is used to capture waste heat released from an industrial process, and transform the heat into reusable energy. In practice, it can be difficult to identify the optimal form of a WHRS for a particular installation,... Read More about Exploring multi-objective trade-offs in the design space of a waste heat recovery system.

Optimising a Waste Heat Recovery System using Multi-Objective Evolutionary Algorithm (2016)
Conference Proceeding
Mokhtar, M., Hunt, I., Burns, S., & Ross, D. (2016). Optimising a Waste Heat Recovery System using Multi-Objective Evolutionary Algorithm. In GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (913-920). https://doi.org/10.1145/2908961.2931646

A waste heat recovery system (WHRS) on a process with variable output, is an example of an intermittent renewable process. WHRS recycles waste heat into usable energy. As an example, waste heat produced from refrigeration can be used to provide hot w... Read More about Optimising a Waste Heat Recovery System using Multi-Objective Evolutionary Algorithm.

Explanation-based learning with analogy for impasse resolution (2016)
Journal Article
Timperley, M., Mokhtar, M., Bellaby, G., & Howe, J. (2016). Explanation-based learning with analogy for impasse resolution. Expert Systems with Applications, 61, 181-191. https://doi.org/10.1016/j.eswa.2016.05.030

This paper proposes an algorithm for the inclusion of analogy into Explanation-Based Learning (EBL). Analogy can be used when an impasse is reached to extend the deductive closure of EBL’s domain theory. This enables the generation of control laws, v... Read More about Explanation-based learning with analogy for impasse resolution.

Sensor Failure Detection, Identification, and Accommodation Using Fully Connected Cascade Neural Network (2014)
Journal Article
Hussain, S., Mokhtar, M., & Howe, J. M. (2015). Sensor Failure Detection, Identification, and Accommodation Using Fully Connected Cascade Neural Network. IEEE Transactions on Industrial Electronics, 62(3), 1683-1692. https://doi.org/10.1109/tie.2014.2361600

Modern control systems rely heavily on their sensors for reliable operation. Failure of a sensor could destabilize the system, which could have serious consequences to the system's operations. Therefore, there is a need to detect and accommodate such... Read More about Sensor Failure Detection, Identification, and Accommodation Using Fully Connected Cascade Neural Network.