1.0Mipu Hardwarehttps://hw.mipu.eu/en/Adminhttps://hw.mipu.eu/en/author/admin/rich600338<blockquote class="wp-embedded-content" data-secret="lzwPwtECl3"><a href="https://hw.mipu.eu/en/all_product/prognost-nt/">Prognost-NT</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://hw.mipu.eu/en/all_product/prognost-nt/embed/#?secret=lzwPwtECl3" width="600" height="338" title="“Prognost-NT” — Mipu Hardware" data-secret="lzwPwtECl3" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript"> /* <![CDATA[ */ /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); /* ]]> */ </script> PROGNOST®-NT is the world’s leading diagnostic system that uses Neural Networks and Deep Learning technology for automated Failure Pattern Recognition of Rotating Equipment. More than 20.000 sensor samples per second are analyzed automatically in real-time. The system provides actionable clear text messages to operators, indicating the affected components, the failure mode and the percentage of […]