Intelligent Systems Supporting the Use of Energy Systems and Other Complex Technical Objects, Modeling, Testing and Analysis of Their Reliability in the Operation Process

Dear Colleagues,

I am inviting submissions to a Special Issue of Energies entitled “Intelligent Systems Supporting the Use of Energy systems and Other Complex Technical Objects and Modeling, Testing, and Analysis of Their Reliability in the Operation Process”.

In the technological development of complex technical objects such as civil aircraft, energy systems, medical devices, and others, intelligent assistance systems occupy a special place within. Currently, intelligent consulting systems are used to supervise effective use of objects and to organize operational, technical, technological, and other processes. Intelligent systems are particularly useful in diagnosing technical objects in terms of qualitative assessment of their reliability. Intelligent systems are particularly useful when there are many variables to be covered in the analyzed process, where complex factors affecting the conditions of use of the technical objects need to be considered. Intelligent support systems are also particularly useful in the process where the reliability condition of technical devices is tested, assisting with the selection of tools and means in the production process and in assessing the selection of conditions and parameters in the process of use. Another important aspect of the use of intelligent systems is their use in the process of renewing (restoring the serviceability) of complex technical objects, including energy, medical, security, and other systems.

Optimal and effective renovation of technical objects is possible only with the use of intelligent systems that support human activity (the object’s user). An optimal system for servicing objects is one in which the object is renewed exactly when it is required. Such an approach is ensured by an intelligent object diagnosis system which is built on the basis of an artificial neural network. The neural network is reliable and consistently recognizes object states for which remedial actions and repair are required. There are benefits in organizing the process of the exploitation of objects using artificial intelligence. In this case, there are no losses (costs) related to ineffective use of the facility when a condition in the facility’s operation may occur, meaning that the facility is not fit nor fully operational. The intelligent system then eliminates costs associated with the renewal of unnecessary elements, i.e., those elements of the facility that do not require it because they are fit. The intelligent system designed for servicing the object ensures high efficiency of the service approach; it ensures the renewal of only those internal structural elements that actually require servicing because they are in a state of incomplete fitness {1} or unfitness {0}.

Currently, cognitive aspects in the use of intelligent systems supporting the use and operation of technical objects are particularly important, especially in the field of modeling the operation processes of the tested technical objects in addition to research, evaluation, and analysis of reliability of the operation processes of objects using intelligent systems.

Prof. Dr. Stanisław Duer
Guest Editor

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• artificial intelligence in energy systems
• modeling of technical objects
• expert systems
• reliability and operation process
• security systems
• diagnostics of technical objects
• renewable energy sources