<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kadri Ouahab</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Identification and detection of the process fault in a cement rotary kiln by extreme learning machine and ant colony optimization, ISSN 1583-7904</style></title><secondary-title><style face="normal" font="default" size="100%">Academic Journal of Manufacturing Engineering </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.researchgate.net/publication/318838061_Identification_and_detection_of_the_process_fault_in_a_cement_rotary_kiln_by_extreme_learning_machine_and_ant_colony_optimization</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol 15</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The aim of this paper is to propose a new fault diagnosis method for complex manufacturing system. We have used an artificial neural network (ANN) and an Ant Colony Optimization (ACO) algorithm to diagnosis the condition monitoring of a rotary cement kiln. The Ant Colony algorithm can found a small features subset from the original real time signals and the Extreme Learning Machine (ELM) enables a good accuracy with a limiting learning time. Many benchmark datasets have used to evaluate the performances of our algorithm and the result indicates its higher efficiency and effectiveness comparing to other methods.</style></abstract><issue><style face="normal" font="default" size="100%">Issue 2</style></issue></record></records></xml>