Zobrazeno 1 - 10
of 24
pro vyhledávání: '"HungLinh Ao"'
Publikováno v:
Shock and Vibration, Vol 2015 (2015)
Targeting the nonlinear and nonstationary characteristics of vibration signal from fault roller bearing and scarcity of fault samples, a novel method is presented and applied to roller bearing fault diagnosis in this paper. Firstly, the nonlinear and
Externí odkaz:
https://doaj.org/article/38ff46c5207b4ea7b021aac97877d4e3
Publikováno v:
Shock and Vibration, Vol 2014 (2014)
This study investigates a novel method for roller bearing fault diagnosis based on local characteristic-scale decomposition (LCD) energy entropy, together with a support vector machine designed using an Artificial Chemical Reaction Optimisation Algor
Externí odkaz:
https://doaj.org/article/703a4f4fad914bfe9b916acf7ca72076
Publikováno v:
Journal of Science and Technology - IUH. 36
SVM parameters have serious effects on the accuracy rate of classification result. Tuning SVM parameters is always a challenge for scientists. In this paper, a SVM parameter optimization method based on Adaptive Elitist Differential Evolution (AeDE-S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b06b007ebab2060e005e2a8d5c59c939
https://doi.org/10.46242/jstiuh.v36i03.4077
https://doi.org/10.46242/jstiuh.v36i03.4077
Publikováno v:
Scientific Programming, Vol 2019 (2019)
In this paper, a hybrid approach that combines a population-based method, adaptive elitist differential evolution (aeDE), with a powerful gradient-based method, spherical quadratic steepest descent (SQSD), is proposed and then applied for clustering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05e28d98db471758d1f45e6df3402a1c
Publikováno v:
International Journal of Refrigeration. 72:81-96
Development of the fault detection and diagnosis (FDD) for chiller systems is very important for improving the equipment reliability and saving energy consumption. The results of FDD performance are strongly dependent on the accuracy of chiller model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2528ef5f4965511a7ee9146fdf999e48
https://doi.org/10.1016/j.ijrefrig.2016.07.024
https://doi.org/10.1016/j.ijrefrig.2016.07.024
Publikováno v:
Journal of Vibration and Control. 21:2434-2445
The accuracy of a support vector machine (SVM) classifier is decided by the selection of optimal parameters for SVM. An artificial chemical reaction optimization algorithm (ACROA) is a new method to solve the global optimization problem and is adapte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b7261bc027ad3c5f7e9cd7900ec5489
https://doi.org/10.1177/1077546313511841
https://doi.org/10.1177/1077546313511841
Publikováno v:
The International Journal of Acoustics and Vibration. 21
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c67cb151453d3dab1d487fdd3065fdb
https://doi.org/10.20855/ijav.2016.21.4439
https://doi.org/10.20855/ijav.2016.21.4439
Publikováno v:
Journal of Computing in Civil Engineering. 29
Support vector machine (SVM) parameter optimization has always been a demanding task in machine learning. The chemical reaction optimization (CRO) method is an established metaheuristic for the optimization problem and is adapted to optimize the SVM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1792fe582b89daf64f1117ea21584461
https://doi.org/10.1061/(asce)cp.1943-5487.0000394
https://doi.org/10.1061/(asce)cp.1943-5487.0000394
Publikováno v:
Journal of Dynamic Systems, Measurement, and Control. 137
In this paper, a sliding mode control (SMC) system based on combining chemical reaction optimization (CRO) algorithm with radial basis functional link net (RBFLN) for an n-link robot manipulator is proposed to achieve the high-precision position trac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c681397dededd7526fa3e0dcea406f2
https://doi.org/10.1115/1.4028886
https://doi.org/10.1115/1.4028886
Publikováno v:
Shock and Vibration, Vol 2014 (2014)
This study investigates a novel method for roller bearing fault diagnosis based on local characteristic-scale decomposition (LCD) energy entropy, together with a support vector machine designed using an Artificial Chemical Reaction Optimisation Algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::659625b7d7d79bdb1d058412ac0ec38c