Methods of diagnostics of electromechanical equipment removal based on technologies of artificial intelligence.
Journal Title: Наукові праці Донецького Національного Технічного Університету серія: Електротехніка і Енергетика - Year 2017, Vol 1, Issue 1
Abstract
In this paper, the latest developments and applications of artificial intelligence for monitoring state and diagnostics of faults are considered, according to the categories of malfunctions’ diagnostics. A comparative analysis of the characteristics of computational methods of diagnosis, which can be considered when choosing the appropriate method in a concrete situation for future research, is carried out. It has been determined that artificial neural networks are one of the most commonly used classifiers of methods of intelligent diagnostics of faults, which has the potential of high level of training and general characteristics. The accuracy of artificial neural networks (АNN) is highly dependent on the training sample. In the case of a limited number of sample volumes, АNNs often show weak generalization capabilities, therefore, of course, the АNN is used in the case of a sufficient size of the training sample. The method of support vectors machine (SVM) is introduced into the fault’s diagnosis and prediction of machine failure for a small sample size, taking into account its high accuracy and good generalization. But SVM must be specially combined for a multi -class classification. Training of this method also takes a lot of time to work with large -scale data. The deep neural network (DNN) can adaptively choose the necessary information from the source without the need for prior knowledge through the deep structure, so it can be used for intelligent fault diagnosis, but only when it is difficult to identify faults, however, the DNN needs more time to study than ANN through depth structure. The basis of fuzzy rules is a key point and a bottleneck in the development of fuzzy logic (FL) based on expert knowledge and experience. In the absence of self -learning and self-realization, FL is often combined with other algorithms such as neural network, tree failure and expert system for to achieve error detection and predictions. Evolutionary algorithms are the most commonly used diagnostic failure. EAs have been applied to malfunctioning, along with other signal processing techniques, such as wavelet transforms, stochastic resonances, and others. Merging different methods can form a new hy brid algorithm which combines the benefits of different methods.
Authors and Affiliations
Т. ALTUKHOVA
Keywords
Related Articles
- EP ID EP660755
- DOI -
- Views 170
- Downloads 0
Quasioptimal control of synchronous motor with permanent magnets using a strategy of "maximum torque per ampere"
For synchronous motors with built-in permanent magnet rotor was made a comparison control strategy "maximum torque per ampere (MTPA)" and the sample vector control algorithm with maintaining co...
Questions of energy saving in planning the modernization of electromechanical complexes of mine pumping
At present many mining companies have a large number of electromechanical equipment. This equipment exhausted the resource almost or fully. For further safe operation of enterprises need to modernize the electromechanic...
The modernized system of the automatic control of metal level in the mold.
Stabilization of the metal in the mold during continuous casting of steel is needed to ensure a high quality ingot, increasing the metal yield, reduce the time and improve the safety of the casting process. Maintainin...
The converter unit with function of voltage stabilization for a combined power supply system with renewable power sources.
Combined power supply systems with renewable energy sources are used for local facilities in order to ensure stable power supply by using existing overloaded networks remote from transformer substations that are charac-...
Development of generalized equivalent scheme of the morphological level of recognition of transient processes in the distribution smart-grid.
The implementation of modern concepts of network development, namely “Smart Grid”, “Digital Substation”, “Digital Cell”, “Outsourcing Services” implies the transfer and understanding of a large amount of information ab...