| Application of Artificial Intelligence Techniques in Assessing the Safety of Lifting Equipment |
| کد مقاله : 1077-IRNDT |
| نویسندگان |
|
مهدی حاجیان *1، علیرضا حاجیان2، متین کرباسیان3 1هیات علمی دانشگاه ملی مهارت کارشناس مهندسی شرکت توسعه و ساخت راکتورهای اتمی ایران 2دانشیار گروه فیزیک دانشگاه آزاد اسلامی واحد نجف آباد 3فارغ التحصیل کارشناسی ارشد مهندسی مکانیک دانشگاه آزاد اسلامی واحد خمینی شهر |
| چکیده مقاله |
| The focus of the article is addressing the use of artificial neural networks in evaluating the probability of potential accidents occurring while operating lifting crane machinery. The information is obtained from telemetric readings collected by microcontroller load limiters, and also from the results of routine technical and daily equipment condition inspections, which may involve stochastic data. To resolve the second one problem, the maximum relevant to the issues of category and clustering the classical multilayer neural networks and recurrent neural network may be used. The second one option is most advantageous for studying time series and indicators . The development and analysis of the general problem to evaluate the risk of emergencies at dangerous facilities involve the use of a multi-layer neural network with forward propagation. This neural network takes the solutions of two previous problems as inputs. It's important to note that the solution to the first research problem is based on fuzzy inference, which includes fuzzification, application of fuzzy production rules, and defuzzification, such as the Takagi-Sugeno method. The predominant approaches in this area involve the use of the 5-layer Takagi-Sugeno-Kanga (TSK) neural network and the three-layer Wang-Mendel network . The network can be trained using supervised or unsupervised learning based on input data clustering In standard, the technology of neural networks is the most extensively used within the delivery systems chance assessment problems, construction , evaluation of material homes, information technologies and others. |
| کلیدواژه ها |
| Artificial Intelligence, Assessing ,the Safety of Lifting Equipment |
| وضعیت: پذیرفته شده برای ارسال فایل های ارائه پوستر |
