ARTÍCULO
TITULO

Comparing Reservoir Artificial and Spiking Neural Networks in Machine Fault Detection Tasks

Vladislav Kholkin    
Olga Druzhina    
Valerii Vatnik    
Maksim Kulagin    
Timur Karimov and Denis Butusov    

Resumen

For the last two decades, artificial neural networks (ANNs) of the third generation, also known as spiking neural networks (SNN), have remained a subject of interest for researchers. A significant difficulty for the practical application of SNNs is their poor suitability for von Neumann computer architecture, so many researchers are currently focusing on the development of alternative hardware. Nevertheless, today several experimental libraries implementing SNNs for conventional computers are available. In this paper, using the RCNet library, we compare the performance of reservoir computing architectures based on artificial and spiking neural networks. We explicitly show that, despite the higher execution time, SNNs can demonstrate outstanding classification accuracy in the case of complicated datasets, such as data from industrial sensors used for the fault detection of bearings and gears. For one of the test problems, namely, ball bearing diagnosis using an accelerometer, the accuracy of the classification using reservoir SNN almost reached 100%, while the reservoir ANN was able to achieve recognition accuracy up to only 61%. The results of the study clearly demonstrate the superiority and benefits of SNN classificators.

 Artículos similares

       
 
Dapeng Gao, Yuewu Liu, Zhidong Guo, Jun Han, Jingde Lin, Huijun Fang, Hailing Ma and Sang-Bing Tsai    
Different from the conventional gas reservoir, coalbed methane is developed mainly by water drainage, which leads methane desorption after reservoir pressure drop. Water drainage at a reasonable speed in the early development stage is the key for enhanci... ver más
Revista: Water

 
Roya Sadat Mousavi, Mojtaba Ahmadizadeh and Safar Marofi    
In this paper, the impact of climate change on the climate and discharge of the Dez Dam Basin and the hydropower potential of two hydropower plants (Bakhtiari and Dez) is investigated based on the downscaled outputs of six GCMs (General Circulation Model... ver más
Revista: Water

 
Rafael Roney Camara De Melo, Ioná Maria Beltrão Rameh Barbosa, Aida Araújo Ferreira, Alessandra Lee Barbosa Firmo, Simone Rosa Da Silva, José Almir Cirilo and Ronaldo Ribeiro Barbosa De Aquino    
The Jucazinho reservoir was built in the State of Pernambuco, Northeastern Brazil, to water supply in a great part of the population that live in the semi-arid of Pernambuco. This reservoir controls the high part of Capibaribe river basin, area affected ... ver más
Revista: Water

 
Nasim Hosseini, Kwok Pan Chun and Karl-Erich Lindenschmidt    
A global sensitivity analysis was carried out on a water quality model to quantify the spatial changes in parameter sensitivity of a model of a large prairie river, the South Saskatchewan River (SSR). The method is used to assess the relative impacts of ... ver más
Revista: Water

 
Jinggang Chu, Yong Peng, Wei Ding and Yu Li    
River basin simulation and multi-reservoir optimal operation have been critical for river basin management. Due to the intense interaction between human activities and river basin systems, the river basin model and multi-reservoir operation model are com... ver más
Revista: Water