{"id":2459,"date":"2021-03-15T15:18:39","date_gmt":"2021-03-15T15:18:39","guid":{"rendered":"https:\/\/controlloemisura.com\/?p=2459"},"modified":"2025-06-24T15:05:18","modified_gmt":"2025-06-24T15:05:18","slug":"monitoring-ai-software-for-machine-tools","status":"publish","type":"post","link":"https:\/\/www.publiteconline.it\/controlloemisura\/monitoring-ai-software-for-machine-tools\/","title":{"rendered":"Monitoring: AI Software for Machine Tools"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Neural network technology learns optimum machine behaviour, contributing to maintain the expected production standards: here is the new artificial intelligence software from <a href=\"https:\/\/num.com\/it\/\" target=\"_blank\" rel=\"noreferrer noopener\">NUM<\/a>, developed for condition monitoring of CNC machine tools<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The new artificial intelligence software launched by NUM provides CNC machine tool users with highly cost-effective condition monitoring capabilities. Compatible with all of NUM\u2019s latest-generation Flexium+ CNC systems, the NUMai software package is a complete, fully integrated solution for CNC machine tools \u2013 it does not require any additional sensors, and runs on the same industrial PC as the CNC system\u2019s HMI.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">The collected data is used to teach a neural network<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">NUMai software can be utilised as soon as a machine tool has been commissioned and is ready to start production, or on a machine that is already being employed. The software initially acquires all pertinent operating data over a period of time, typically some hours, while the machine is being used for normal production tasks. Ideally, a diversity of part programs is run, involving a variety of different machining conditions, in order to ensure that the data is as comprehensive and reliable as possible. The collected data is used to teach a neural network so that any deviation from the \u201cgood machine behaviour\u201d and performance can then be detected and predicted; a suitable PC program for subsequent online performance monitoring and diagnostic purposes is generated automatically. During the software\u2019s development, NUM beta tested the technology on a CNC milling machine equipped with three axes and a spindle, which required a neural network comprising 36 neurons with three hidden layers. In this particular instance, 396 parameters needed their values to be accurately defined; this required the acquisition of more than 2 million \u201cknown good\u201d data points and 300 iterations of the teaching phase, which took about four hours per axis.<\/p>\n\n\n\n<figure class=\"wp-block-image alignwide size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"332\" src=\"https:\/\/controlloemisura.com\/wp-content\/uploads\/2021\/03\/1-1.jpg\" alt=\"NUMai capitalises  on the inherent flexibility  of NUM\u2019s Flexium+ CNC platform.\" class=\"wp-image-2460\" title=\"NUMai capitalises  on the inherent flexibility  of NUM\u2019s Flexium+ CNC platform.\" srcset=\"https:\/\/www.publiteconline.it\/controlloemisura\/wp-content\/uploads\/2021\/03\/1-1.jpg 800w, https:\/\/www.publiteconline.it\/controlloemisura\/wp-content\/uploads\/2021\/03\/1-1-300x125.jpg 300w, https:\/\/www.publiteconline.it\/controlloemisura\/wp-content\/uploads\/2021\/03\/1-1-768x319.jpg 768w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><figcaption>NUMai capitalises \non the inherent flexibility \nof NUM\u2019s Flexium+ CNC platform.<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Any discrepancy or deviation is notified to the PLC<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">NUMai condition monitoring software capitalises on the inherent flexibility of NUM\u2019s Flexium+ CNC platform. As standard, every Flexium+ CNC system includes: a PC which can handle data from the servo drives\u2019 measurement points, a PLC that has direct access to machine parameters, and an NCK oscilloscope feature capable of reading values in real-time. All system communications are handled by FXServer, using fast real-time Ethernet (RTE) networking. During everyday use in the production environment, NUMai software runs in the background on the industrial PC that forms part of the machine tool\u2019s CNC system, continuously monitoring and evaluating the machine\u2019s performance. Any discrepancy or deviation beyond user-defined thresholds is notified to the PLC, which decides what action should be taken \u2013 from a simple advisory message to an emergency disengagement. The new NUMai condition monitoring software option can be installed and used on any Flexium+ CNC system running NUM\u2019s Flexium software version 4.1.10.10 or higher.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Neural network technology learns optimum machine behaviour, contributing to maintain the expected production standards: here is the new artificial intelligence software from NUM, developed for condition monitoring of CNC machine tools The new artificial intelligence software launched by NUM provides CNC machine tool users with highly cost-effective condition monitoring capabilities. Compatible with all of NUM\u2019s &hellip;<\/p>\n","protected":false},"author":4,"featured_media":2457,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_seopublitec_title":"","_seopublitec_meta_desc":"","_seopublitec_keyphrases":"","_seopublitec_canonical":"","_seopublitec_noindex":false,"_seopublitec_nofollow":false,"_seopublitec_og_title":"","_seopublitec_og_desc":"","_seopublitec_twitter_title":"","_seopublitec_twitter_desc":"","_seopublitec_twitter_image":"","_seopublitec_og_image":"","_seopublitec_twitter_card":"","_seopublitec_cornerstone":false,"_seopublitec_score":""},"categories":[15],"tags":[964,804,1228,1204,1235],"class_list":["post-2459","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-ai-en","tag-artificial-intelligence","tag-condition-monitoring-en","tag-data-acquisition","tag-num"],"openstation_lock":null,"openstation_contributors":[],"openstation_attached_media":[2457,2460],"_links":{"self":[{"href":"https:\/\/www.publiteconline.it\/controlloemisura\/wp-json\/wp\/v2\/posts\/2459","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.publiteconline.it\/controlloemisura\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.publiteconline.it\/controlloemisura\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.publiteconline.it\/controlloemisura\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.publiteconline.it\/controlloemisura\/wp-json\/wp\/v2\/comments?post=2459"}],"version-history":[{"count":1,"href":"https:\/\/www.publiteconline.it\/controlloemisura\/wp-json\/wp\/v2\/posts\/2459\/revisions"}],"predecessor-version":[{"id":2461,"href":"https:\/\/www.publiteconline.it\/controlloemisura\/wp-json\/wp\/v2\/posts\/2459\/revisions\/2461"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.publiteconline.it\/controlloemisura\/wp-json\/wp\/v2\/media\/2457"}],"wp:attachment":[{"href":"https:\/\/www.publiteconline.it\/controlloemisura\/wp-json\/wp\/v2\/media?parent=2459"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.publiteconline.it\/controlloemisura\/wp-json\/wp\/v2\/categories?post=2459"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.publiteconline.it\/controlloemisura\/wp-json\/wp\/v2\/tags?post=2459"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}