Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mohamed Nacer Saadi"'
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 107:4077-4095
The development of an intelligent fault diagnosis system to identify automatically and accurately micro-faults affecting motors continues to be a challenge for industrial rotary machinery and needs to be addressed. In this paper, we put forward a nov
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 106:1737-1751
In this paper, we propose a novel method for the classification of bearing faults using a convolutional neural network (CNN) and vibration spectrum imaging (VSI). The normalized amplitudes of the spectral content extracted from segmented temporal vib
Publikováno v:
Australian Journal of Mechanical Engineering. 18:S165-S175
Blade faults are considered as the most common cause of failure in turbomachines. Any fault occurs in impeller’s blades gives the breakdown in these machines and creates undesired vibration. This p...
Publikováno v:
2017 European Conference on Electrical Engineering and Computer Science (EECS).
Fault detection is a major challenge for the maintenance of asynchronous motors. The bearings defects are the most important defects that can occur in these. In this context, we propose a new approach for the detection of these defects based on the a
Publikováno v:
2016 8th International Conference on Modelling, Identification and Control (ICMIC).
Bladed disks are considered as the principal component in turbomachines. Any fault occurs in impeller's blade gives the breakdown in these machines and decrease the production. It is important to detect the failures in the bladed disk as early as pos