![]() While classical mechanics describes the motion of bodies such as atoms and molecules by means of time reversible equations, thermodynamics emphasizes the irreversible character of macroscopic phenomena such as viscosity. The so-called reversibility paradox around which intense polemics occurred reveals the apparent incompatibility between the microscopic and macroscopic levels. In the second half of the 19th century, the kinetic theory of gases has probably raised one of the most impassioned de-bates in the history of science. Additionally, it was found that WOE values calculated for single-competition compared to multiple-competitions were more similar to jury evaluation results. The findings within this study indicate that there are no relationships between single factor entropy values and ranking of the projects. The relationship between WOE values calculated and the ranking of the projects in the competitions were investigated. The Weighted Overall Entropy (WOE) was obtained by multiplying multiple factor entropy values with different weight coefficients with the purpose of ranking each project on an inverted U graph similar to jury results. ![]() The Entropy-Based Design Evaluation Model (EBDEM), a method, analyzes the level of objectivity in jury evaluation and questions the predictability of evaluations through examining the relationship between the entropy values of projects and success outcomes. Previous studies have identified an inverted U relationship between entropy and subjective responses based on single and multiple factors. Entropy, an objective method used to measure disorder in buildings, offers significant potential in enhancing the comprehensibility of subjective tendencies in jury evaluation of architectural competitions. The objective of this study is to investigate whether subjective means of evaluation can be associated with an objective and computable evaluation model. The order of importance and weights of criteria (factors) in the evaluation phases are not fixed and differ according to the approaches of the jury members. Hence, a great number of criteria play a role, with varying degrees of importance, in the evaluation process. Additionally, many other interrelated criteria, identified by the members of the jury, emerge during jury evaluation. Generally, the evaluations in architectural competitions are based on quality where many criteria are involved. The result shows that this method has better applicability when facing actual fault type classification with higher data similarity. By comparing with the widely used ratio method and artificial intelligence method, it can be concluded that the method described herein can effectively improve the accuracy of fault diagnosis. Finally, fault data from the literature and actual collections are selected for training and testing. Then, the vague set divides the events into true, false and unknown factors, which can optimise the sub‐interface of SVM and improve the accuracy of the boundary point classification. Firstly, the training data are weighted by the improved information entropy method to discretise the original data from the mixed state for subsequent classifier training. The improved information entropy method is used to obtain the weights of each gas and to weight the raw data, and the processed training data and the corresponding fault types are inputted into the vague support vector machine (VSVM) model to obtain classifiers. A combined model based on improved information entropy and vague support vector machine (IVSVM) is introduced into transformer fault diagnosis using dissolved gas analysis in oil (DGA).
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |