{"id":14429,"date":"2022-12-22T14:09:27","date_gmt":"2022-12-22T12:09:27","guid":{"rendered":"https:\/\/www.razor-labs.com\/tres-mitos-mas-comunes-sobre-el-mantenimiento-predictivo-en-la-industria-minera-parte-1\/"},"modified":"2025-09-08T14:41:41","modified_gmt":"2025-09-08T11:41:41","slug":"tres-mitos-mas-comunes-sobre-el-mantenimiento-predictivo-en-la-industria-minera-parte-1","status":"publish","type":"post","link":"https:\/\/www.razor-labs.com\/es\/tres-mitos-mas-comunes-sobre-el-mantenimiento-predictivo-en-la-industria-minera-parte-1\/","title":{"rendered":"Tres Mitos M\u00e1s Comunes sobre el Mantenimiento Predictivo en la Industria Minera &#8211; Parte 1"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"14429\" class=\"elementor elementor-14429 elementor-6097\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-12b2b0b elementor-section-height-min-height post-head elementor-section-boxed elementor-section-height-default elementor-section-items-middle\" data-id=\"12b2b0b\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;parallax_background_enable&quot;:&quot;yes&quot;,&quot;parallax_background_speed&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:0.65000000000000002220446049250313080847263336181640625,&quot;sizes&quot;:[]},&quot;parallax_background_direction&quot;:&quot;up&quot;,&quot;jet_parallax_layout_list&quot;:[],&quot;background_image&quot;:{&quot;id&quot;:13375,&quot;url&quot;:&quot;https:\\\/\\\/www.razor-labs.com\\\/wp-content\\\/uploads\\\/2022\\\/12\\\/3-Myths-Predictive-Maintenance-in-Mining.png&quot;},&quot;background_image_tablet&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;background_image_mobile&quot;:{&quot;url&quot;:&quot;&quot;,&quot;id&quot;:&quot;&quot;,&quot;size&quot;:&quot;&quot;},&quot;parallax_background_speed_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;parallax_background_speed_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-268d64c\" data-id=\"268d64c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8362189 elementor-widget__width-auto post-date elementor-widget elementor-widget-heading\" data-id=\"8362189\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/www.razor-labs.com\/es\/category\/blog-es\/\" rel=\"tag\">Blog<\/a><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-d3e8d9a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d3e8d9a\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-e6922cb\" data-id=\"e6922cb\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-161be0d elementor-widget__width-initial post-title elementor-widget elementor-widget-heading\" data-id=\"161be0d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-xl\">Tres Mitos M\u00e1s Comunes sobre el Mantenimiento Predictivo en la Industria Minera &#8211; Parte 1<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-ba0c274 post-date elementor-widget elementor-widget-heading\" data-id=\"ba0c274\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-large\">22 de diciembre de 2022<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2a87ce8 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2a87ce8\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-a9647f3\" data-id=\"a9647f3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-5efeac1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5efeac1\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-01c267f\" data-id=\"01c267f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-98e13b0 elementor-widget elementor-widget-heading\" data-id=\"98e13b0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-large\">by Michael Zolotov<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-316c513 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"316c513\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-00eee9e elementor-widget elementor-widget-heading\" data-id=\"00eee9e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-large\">4 min read<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-af81956 elementor-widget elementor-widget-image\" data-id=\"af81956\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"251\" height=\"250\" src=\"https:\/\/www.razor-labs.com\/wp-content\/uploads\/2021\/07\/36779243_10156426161069854_8267831101569892352_n-copy-4-1-1-1.jpg\" class=\"attachment-medium size-medium wp-image-13122\" alt=\"Michael Zolotov, Director T\u00e9cnico y Cofundador\" srcset=\"https:\/\/www.razor-labs.com\/wp-content\/uploads\/2021\/07\/36779243_10156426161069854_8267831101569892352_n-copy-4-1-1-1.jpg 251w, https:\/\/www.razor-labs.com\/wp-content\/uploads\/2021\/07\/36779243_10156426161069854_8267831101569892352_n-copy-4-1-1-1-150x150.jpg 150w, https:\/\/www.razor-labs.com\/wp-content\/uploads\/2021\/07\/elementor\/thumbs\/36779243_10156426161069854_8267831101569892352_n-copy-4-1-1-1-150x150.jpg 400w\" sizes=\"(max-width: 251px) 100vw, 251px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-ac03594 elementor-section-content-middle SHARE\u200b elementor-hidden-phone elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ac03594\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;sticky_enable&quot;:&quot;yes&quot;,&quot;jet_parallax_layout_list&quot;:[],&quot;sticky_unstick_on&quot;:&quot;mobile&quot;,&quot;sticky_follow_scroll&quot;:&quot;yes&quot;,&quot;sticky_offset&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:0,&quot;sizes&quot;:[]},&quot;sticky_offset_bottom&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:0,&quot;sizes&quot;:[]}}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-23f8bbc\" data-id=\"23f8bbc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a889104 share_label elementor-absolute elementor-widget elementor-widget-heading\" data-id=\"a889104\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">SHARE<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-3f3c136\" data-id=\"3f3c136\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9f74fe1 elementor-share-buttons--view-icon elementor-share-buttons--skin-framed elementor-share-buttons--shape-circle elementor-grid-1 elementor-share-buttons--color-official elementor-widget elementor-widget-share-buttons\" data-id=\"9f74fe1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"share-buttons.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-grid\" role=\"list\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-grid-item\" role=\"listitem\">\n\t\t\t\t\t\t<div class=\"elementor-share-btn elementor-share-btn_linkedin\" role=\"button\" tabindex=\"0\" aria-label=\"Compartir en linkedin\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-share-btn__icon\">\n\t\t\t\t\t\t\t\t<i class=\"fab fa-linkedin\" aria-hidden=\"true\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-grid-item\" role=\"listitem\">\n\t\t\t\t\t\t<div class=\"elementor-share-btn elementor-share-btn_facebook\" role=\"button\" tabindex=\"0\" aria-label=\"Compartir en facebook\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-share-btn__icon\">\n\t\t\t\t\t\t\t\t<i class=\"fab fa-facebook\" aria-hidden=\"true\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-grid-item\" role=\"listitem\">\n\t\t\t\t\t\t<div class=\"elementor-share-btn elementor-share-btn_twitter\" role=\"button\" tabindex=\"0\" aria-label=\"Compartir en twitter\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-share-btn__icon\">\n\t\t\t\t\t\t\t\t<i class=\"fab fa-twitter\" aria-hidden=\"true\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-grid-item\" role=\"listitem\">\n\t\t\t\t\t\t<div class=\"elementor-share-btn elementor-share-btn_email\" role=\"button\" tabindex=\"0\" aria-label=\"Compartir en email\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-share-btn__icon\">\n\t\t\t\t\t\t\t\t<i class=\"fas fa-envelope\" aria-hidden=\"true\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-grid-item\" role=\"listitem\">\n\t\t\t\t\t\t<div class=\"elementor-share-btn elementor-share-btn_print\" role=\"button\" tabindex=\"0\" aria-label=\"Compartir en print\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-share-btn__icon\">\n\t\t\t\t\t\t\t\t<i class=\"fas fa-print\" aria-hidden=\"true\"><\/i>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-85b72e3\" data-id=\"85b72e3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fcdbdf0 elementor-widget elementor-widget-heading\" data-id=\"fcdbdf0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">22 de diciembre de 2022<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7fb1e56 elementor-widget elementor-widget-text-editor\" data-id=\"7fb1e56\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4>Although the potential is immense, studies show that most Predictive Maintenance programs fail to drive real value for mining companies.<\/h4>\n<h4>In this blog, I will discuss three common myths about predictive maintenance and how mining companies can leverage AI sensor fusion to transform their predictive maintenance programs into value drivers.<\/h4>\n<h5><strong>Myth 1. The data\u00a0 collected by the mining companies can be easily used for Predictive Maintenance<\/strong><\/h5>\n<h5><strong>Myth 2. Models that predict failures give (enough) value.<\/strong><\/h5>\n<h5><strong>Myth 3. Deploying sensors is enough for Predictive Maintenance.<\/strong><\/h5>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-023e69e elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"023e69e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d0f309d elementor-widget elementor-widget-text-editor\" data-id=\"d0f309d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h1 style=\"font-family: Aeonik-Light, sans-serif; color: #191d22;\">Myth 1. The Big Data miners collect can be easily leveraged for Predictive Maintenance.<br>Big Data vs. the Right Data<\/h1><br><p>The first common misconception is that the big data that miners collect can be easily leveraged for predictive maintenance. Unfortunately, the reality is much more complex.&nbsp;<\/p><br><p>The existing information is mainly based on PLC Tags that are stored historically. These are hundreds of gigabytes of data, not fully relevant to perform predictive maintenance properly.&nbsp;<\/p><br><p>Let\u2019s take a look at the automation pyramid below.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9fc38cb elementor-widget elementor-widget-heading\" data-id=\"9fc38cb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">The Automation Pyramid<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-64803c9 elementor-widget elementor-widget-image\" data-id=\"64803c9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"247\" src=\"https:\/\/www.razor-labs.com\/wp-content\/uploads\/2022\/12\/Automation-Pyramid-Predictive-Maintenance-1024x316.png\" class=\"attachment-large size-large wp-image-13376\" alt=\"Automation Pyramid Predictive Maintenance\" srcset=\"https:\/\/www.razor-labs.com\/wp-content\/uploads\/2022\/12\/Automation-Pyramid-Predictive-Maintenance-1024x316.png 1024w, https:\/\/www.razor-labs.com\/wp-content\/uploads\/2022\/12\/Automation-Pyramid-Predictive-Maintenance-300x93.png 300w, https:\/\/www.razor-labs.com\/wp-content\/uploads\/2022\/12\/Automation-Pyramid-Predictive-Maintenance-768x237.png 768w, https:\/\/www.razor-labs.com\/wp-content\/uploads\/2022\/12\/Automation-Pyramid-Predictive-Maintenance-1536x475.png 1536w, https:\/\/www.razor-labs.com\/wp-content\/uploads\/2022\/12\/Automation-Pyramid-Predictive-Maintenance-2048x633.png 2048w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-34a811b elementor-widget elementor-widget-text-editor\" data-id=\"34a811b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The automation pyramid shows all the organization&#8217;s data sources and information layers. The main parts of the data come from the lower layers of the pyramid.<\/span><\/p><p><span style=\"font-weight: 400;\">First and foremost, these are the sensors installed on the machines that measure temperatures, vibration, power, and so on, in addition to other values calculated by the PLC systems, the machine\u2019s computers, and the alarms.&nbsp;<\/span><\/p><br><p><span style=\"font-weight: 400;\">The upper layers of the pyramid contain additional data sources, like ERP and MES, which are the tags used to train predictive maintenance models. These tags tell the model whether the machine had malfunctioned, and if it did, what was the reason, how the machine functioned when it was new, or how it behaved just before the replacement. This is the information available in most mining companies today.<\/span><\/p><br><p><span style=\"font-weight: 400;\">However, if we were to talk to field condition monitoring experts whose primary focus is increasing the machines\u2019 reliability, they would say they use entirely different data. Yes, they will refer to the Historian\u2019s data mentioned above, but they will treat it as a secondary data type where predictive maintenance is concerned. <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb58f89 elementor-widget elementor-widget-heading\" data-id=\"cb58f89\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Data Sources Used by the Mining Condition Monitoring Experts <\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e8db9f8 elementor-widget elementor-widget-image\" data-id=\"e8db9f8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"260\" src=\"https:\/\/www.razor-labs.com\/wp-content\/uploads\/2022\/12\/data-sources-predictive-maintenance-mining-1024x333.png\" class=\"attachment-large size-large wp-image-13377\" alt=\"\" srcset=\"https:\/\/www.razor-labs.com\/wp-content\/uploads\/2022\/12\/data-sources-predictive-maintenance-mining-1024x333.png 1024w, https:\/\/www.razor-labs.com\/wp-content\/uploads\/2022\/12\/data-sources-predictive-maintenance-mining-300x97.png 300w, https:\/\/www.razor-labs.com\/wp-content\/uploads\/2022\/12\/data-sources-predictive-maintenance-mining-768x249.png 768w, https:\/\/www.razor-labs.com\/wp-content\/uploads\/2022\/12\/data-sources-predictive-maintenance-mining-1536x499.png 1536w, https:\/\/www.razor-labs.com\/wp-content\/uploads\/2022\/12\/data-sources-predictive-maintenance-mining-2048x665.png 2048w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-24dd560 elementor-widget elementor-widget-text-editor\" data-id=\"24dd560\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">These are the data sources they would look at first:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Vibration<\/b><span style=\"font-weight: 400;\"> &#8211; Data collected from the vibration sensors gives us an excellent diagnosis of the various components and the ability to know which of the rotating parts is not in optimal health.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Oil<\/b><span style=\"font-weight: 400;\">\u00a0 &#8211; The field ConMon teams will also focus on the oil analysis, which gives us knowledge about impurities in the oil, about debris in the oil, and so on<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Thermography<\/b><span style=\"font-weight: 400;\"> &#8211; They will also look at the thermography reading obtained via temperature gauges, measuring overheat, overload, and various electrical problems.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">And finally, they will mention the <\/span><b>historian data<\/b><span style=\"font-weight: 400;\">, but it will be, as we said, quite secondary to all other sources of data.\u00a0<\/span><\/li>\n<\/ul>\n<div>\u00a0<\/div>\n<p><span style=\"font-weight: 400;\">As you can see,\u00a0 there is a very large discrepancy between the information that experts in the field use for condition monitoring and the information collected by predictive maintenance solutions that are limited to the telemetry of the machines.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Performing condition monitoring only based on historical data is equivalent to asking a physician to diagnose a patient based on the data collected from the Apple watch. To properly diagnose a patient, the physician will order lab tests, CT\/MRI scans, and many other check-ups to get a comprehensive picture of the patient\u2019s health state.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To properly diagnose the machines&#8217; health and execute predictive maintenance programs, in-depth data collected from various sources is mandatory.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In my next blog post, I will discuss the 2nd most common predictive maintenance myth &#8211; <\/span><a href=\"https:\/\/www.razor-labs.com\/es\/tres-mitos-mas-comunes-sobre-el-mantenimiento-predictivo-en-la-industria-minera-parte-2\/\"><b>\u201cModels that predict failures provide (enough) value.\u201d<\/b><\/a><span style=\"font-weight: 400;\"> Stay tuned<\/span><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-69c6a46 elementor-section-content-middle SHARE\u200b 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most Predictive Maintenance programs fail to drive real value for mining companies. In this blog, I will discuss three common myths about predictive maintenance and how mining companies can leverage AI sensor fusion to transform their predictive maintenance programs into [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":13375,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[57],"tags":[],"class_list":["post-14429","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-es"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Tres Mitos M\u00e1s Comunes sobre el Mantenimiento Predictivo en la Industria Minera - Parte 1 - Razor Labs<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.razor-labs.com\/es\/tres-mitos-mas-comunes-sobre-el-mantenimiento-predictivo-en-la-industria-minera-parte-1\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tres Mitos M\u00e1s Comunes sobre el Mantenimiento Predictivo en la Industria Minera - Parte 1 - Razor Labs\" \/>\n<meta property=\"og:description\" content=\"by Michael Zolotov 4 min read SHARE Although the potential is immense, studies show that most Predictive Maintenance programs fail to drive real value for mining companies. 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