Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Kao Li Huang"'
Publikováno v:
Applied Mechanics and Materials. :1772-1777
A lot of prior information in complex system test has been accumulated. To use the prior information for complex system testability quantitative analysis, a new complex system testability modeling and analyze method based on Bayesian network is prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cfe12f70c959b48594eba3946eb1ce0
https://doi.org/10.4028/www.scientific.net/amm.602-605.1772
https://doi.org/10.4028/www.scientific.net/amm.602-605.1772
Publikováno v:
Advanced Materials Research. 823:661-664
To solve the backdating problem of traditional test generation methods, it puts forward a new test generation method based on improved binary particle swarm optimization algorithm in the paper. It estates the fitness function of test vector and fault
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05c3eefc0fa265eb861049331b332f63
https://doi.org/10.4028/www.scientific.net/amr.823.661
https://doi.org/10.4028/www.scientific.net/amr.823.661
Publikováno v:
Applied Mechanics and Materials. :448-452
For the problems of not enough fault information for the complicated equipment and difficult to predict the fault, we apply Support Vector Machine (SVM) to build the fault prediction model. On the basis of analyzing regression algorithm of SVM, we us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34dcd36a5e448cd3eda6f38d882674d1
https://doi.org/10.4028/www.scientific.net/amm.347-350.448
https://doi.org/10.4028/www.scientific.net/amm.347-350.448