{"version":"1.0","provider_name":"Sigma Technology","provider_url":"https:\/\/sigmatechnology.com\/sv\/","author_name":"Marharyta Frolova","author_url":"https:\/\/sigmatechnology.com\/sv\/author\/marharyta-frolova\/","title":"Predictive Maintenance for the Automotive Industry: Case Study","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"Uj0ZOIv4Hp\"><a href=\"https:\/\/sigmatechnology.com\/sv\/case\/predictive-maintenance-in-automotive-industry\/\">Predictive maintenance in the automotive industry<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/sigmatechnology.com\/sv\/case\/predictive-maintenance-in-automotive-industry\/embed\/#?secret=Uj0ZOIv4Hp\" width=\"600\" height=\"338\" title=\"\u201dPredictive maintenance in the automotive industry\u201d &ndash; Sigma Technology\" data-secret=\"Uj0ZOIv4Hp\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!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);\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/sigmatechnology.com\/content\/uploads\/2023\/02\/Link-preview-INTERVIEW-only-copy.jpg","thumbnail_width":1200,"thumbnail_height":630,"description":"Discover the impact of machine learning and predictive maintenance in the automotive industry. In this case study, we uncover how we contributed to the development of the ML model to understand and predict the lifetime of brake pads that are used in their trucks."}