<\/p>\n\n\n\n
Ventil\u00e1torok \u00e9s az \u00e1ltaluk kiszolg\u00e1lt g\u00e1ztechnikai rendszer \u00fczembiztons\u00e1g\u00e1t, megb\u00edzhat\u00f3s\u00e1g\u00e1t jelent\u0151sen jav\u00edtja, ha k\u00e9pesek vagyunk felismerni a ventil\u00e1tor kialakul\u00f3 rendelleness\u00e9g\u00e9t \u2013 pl. a j\u00e1r\u00f3ker\u00e9k elszennyez\u0151d\u00e9s miatti k\u00e1ros m\u00e9rt\u00e9k\u0171 kiegyens\u00falyozatlans\u00e1ga \u2013, s\u0151t id\u0151ben el\u0151re tudjuk jelezni a ventil\u00e1tor ebb\u0151l ad\u00f3d\u00f3 s\u00falyos meghib\u00e1sod\u00e1s\u00e1t \u2013 pl. a lap\u00e1tok t\u00f6r\u00e9se. Az id\u0151ben t\u00f6rt\u00e9n\u0151 karbantart\u00e1ssal, jav\u00edt\u00e1ssal, tiszt\u00edt\u00e1ssal elker\u00fclhet\u0151 a g\u00e9p t\u00f6nkremenetele \u00e9s az ebb\u0151l ad\u00f3d\u00f3 vesztes\u00e9gek, pl. \u00fczemkies\u00e9s \u00e9s teljes g\u00e9pcsere k\u00f6lts\u00e9gei. A projekt c\u00e9lja: el\u0151tanulm\u00e1nyok v\u00e9gz\u00e9se arra ir\u00e1nyul\u00f3an, hogy hogyan lehet egyetlen be\u00e9p\u00edtett rezg\u00e9sm\u00e9r\u0151vel, \u00e9s a nyert rezg\u00e9si adatok okos ki\u00e9rt\u00e9kel\u00e9s\u00e9vel a rendelleness\u00e9geket felismerni, \u00e9s a meghib\u00e1sod\u00e1st id\u0151ben el\u0151re jelezni. A projekt mag\u00e1ban foglal ventil\u00e1tor-k\u00eds\u00e9rleteket, a rezg\u00e9sm\u00e9r\u0151 telep\u00edt\u00e9s\u00e9t \u00e9s alkalmaz\u00e1s\u00e1t, \u00e9s a rezg\u00e9sm\u00e9r\u00e9si adatok feldolgoz\u00e1s\u00e1t. Az adatfeldolgoz\u00e1s \u00e9p\u00edt az AI kreat\u00edv m\u00e9rn\u00f6ki alkalmaz\u00e1s\u00e1ra, \u00e9s betekint\u00e9st ad a g\u00e9pi tanul\u00e1s (Machine Learning) vil\u00e1g\u00e1ba.<\/p>\n\n\n\n
The operational safety and reliability of fans and the gas technical systems served by them can be significantly improved by means of detecting developing anomalies \u2013 such as excessive impeller imbalance due to fouling \u2013 and even predicting consequential catastrophic failures, like blade breakage. Timely maintenance, repair, and cleaning prevent equipment breakdown and avoid associated losses, such as production downtime and total equipment replacement costs. The objective of the project is to conduct preliminary studies on how to detect anomalies and predict failures in a timely manner using a single in-built vibration sensor combined with smart evaluation of the acquired vibration data. The project involves fan experiments, the installation and application of the vibration sensor, and the processing of vibration measurement data. Data processing includes the creative engineering application of AI and provides insight into the world of Machine Learning.<\/p>\n\n\n\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Ventil\u00e1torok \u00e9s az \u00e1ltaluk kiszolg\u00e1lt g\u00e1ztechnikai rendszer \u00fczembiztons\u00e1g\u00e1t, megb\u00edzhat\u00f3s\u00e1g\u00e1t jelent\u0151sen jav\u00edtja, ha k\u00e9pesek vagyunk felismerni a ventil\u00e1tor kialakul\u00f3 rendelleness\u00e9g\u00e9t \u2013 pl. a j\u00e1r\u00f3ker\u00e9k elszennyez\u0151d\u00e9s miatti k\u00e1ros m\u00e9rt\u00e9k\u0171 kiegyens\u00falyozatlans\u00e1ga \u2013, s\u0151t id\u0151ben el\u0151re tudjuk jelezni a ventil\u00e1tor ebb\u0151l ad\u00f3d\u00f3 s\u00falyos meghib\u00e1sod\u00e1s\u00e1t \u2013 pl. a lap\u00e1tok t\u00f6r\u00e9se. Az id\u0151ben t\u00f6rt\u00e9n\u0151 karbantart\u00e1ssal, jav\u00edt\u00e1ssal, tiszt\u00edt\u00e1ssal elker\u00fclhet\u0151 a g\u00e9p t\u00f6nkremenetele […]<\/p>\n","protected":false},"author":13,"featured_media":995,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_ppma_block_editor_authors":""},"categories":[14,11,10,13,5],"tags":[46,133,47],"ppma_author":[103],"class_list":["post-994","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-msc-diploma-ab","category-bsc-onallo","category-bsc-onallo1","category-msc-projekt","category-bsc-szakdolgozat","tag-turbomachinery","tag-aramlastechnikai-gepek","tag-flowmachinery"],"authors":[{"term_id":103,"user_id":13,"is_guest":0,"slug":"vadj","display_name":"Vad J\u00e1nos","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/fc498d543cea3585f299d8caeacb50351c14b7e2e870a847755ad20f59bf5faf?s=96&d=mm&r=g","author_category":"","first_name":"J\u00e1nos","last_name":"Vad","user_url":"","job_title":"","description":""}],"_links":{"self":[{"href":"https:\/\/www.ara.bme.hu\/feladatok\/wp-json\/wp\/v2\/posts\/994","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ara.bme.hu\/feladatok\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ara.bme.hu\/feladatok\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ara.bme.hu\/feladatok\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ara.bme.hu\/feladatok\/wp-json\/wp\/v2\/comments?post=994"}],"version-history":[{"count":2,"href":"https:\/\/www.ara.bme.hu\/feladatok\/wp-json\/wp\/v2\/posts\/994\/revisions"}],"predecessor-version":[{"id":998,"href":"https:\/\/www.ara.bme.hu\/feladatok\/wp-json\/wp\/v2\/posts\/994\/revisions\/998"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ara.bme.hu\/feladatok\/wp-json\/wp\/v2\/media\/995"}],"wp:attachment":[{"href":"https:\/\/www.ara.bme.hu\/feladatok\/wp-json\/wp\/v2\/media?parent=994"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ara.bme.hu\/feladatok\/wp-json\/wp\/v2\/categories?post=994"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ara.bme.hu\/feladatok\/wp-json\/wp\/v2\/tags?post=994"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.ara.bme.hu\/feladatok\/wp-json\/wp\/v2\/ppma_author?post=994"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}