{"id":9145,"date":"2014-05-23T10:13:27","date_gmt":"2014-05-23T08:13:27","guid":{"rendered":"https:\/\/lcm-content.web-email.at\/en\/project\/pit-physical-interpretation-tool-software\/"},"modified":"2017-07-13T11:38:31","modified_gmt":"2017-07-13T09:38:31","slug":"pit-physical-interpretation-tool-software","status":"publish","type":"project","link":"https:\/\/lcm-content.web-email.at\/en\/project\/pit-physical-interpretation-tool-software\/","title":{"rendered":"PIT | Physical Interpretation Tool | Software"},"content":{"rendered":"<p style=\"text-align: justify;\"><span id=\"result_box\" class=\"\" lang=\"en\">This MatLab-based software prototype expands the variable selection used in the FDI software. If only statistical relationships between measurement channels have been taken into account in the FDI software, the PIT software goes one step further. <span class=\"\">The software makes it possible to actually provide causal relationships between process variables.<\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span id=\"result_box\" class=\"\" lang=\"en\">Industrial processes and their interrelations within a system are usually very complex interrelated and therefore difficult to calculate mathematically. <span class=\"\">Also for long-time process experts very elaborate to recognize all mutual influences clearly.<\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span id=\"result_box\" class=\"\" lang=\"en\"><span class=\"\">On the one hand, FDI can be used to create more reliable models for fault diagnosis, thanks to improved variability selection.<\/span> <span class=\"\">On the other hand, to provide an overview of the causal relationships in a process.<\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span id=\"result_box\" class=\"\" lang=\"en\">By means of the results of the PIT software, it is easier to recognize relationships and to increase the efficiency and reliability of a system with this knowledge. <span class=\"\">In order to identify the causal relationships, the PIT software essentially performs three steps:<\/span><\/span><\/p>\n<ol>\n<li style=\"text-align: justify;\"><span id=\"result_box\" class=\"\" lang=\"en\"><span class=\"\">Formation of a basis of the correlated measurement channels by means of linear and non-linear correlation measures after data pre-processing. <\/span><\/span><\/li>\n<li style=\"text-align: justify;\"><span id=\"result_box\" class=\"\" lang=\"en\"><span class=\"\">Application of variable selection algorithms on this basis.<\/span><\/span><\/li>\n<li style=\"text-align: justify;\"><span id=\"result_box\" class=\"\" lang=\"en\"><span class=\"\"> Execution of scheck correlation and causality analyzes, whereby the actually correlated measurement channels remain together with a cause-effect analysis in the data base.<\/span><\/span><\/li>\n<\/ol>\n<div class=\"shariff shariff-align-flex-start shariff-widget-align-flex-start\"><div class=\"ShariffHeadline\">Share this information<\/div><ul class=\"shariff-buttons theme-round orientation-horizontal buttonsize-medium\"><li class=\"shariff-button facebook shariff-nocustomcolor\" style=\"background-color:#4273c8\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https%3A%2F%2Flcm-content.web-email.at%2Fen%2Fproject%2Fpit-physical-interpretation-tool-software%2F\" title=\"Share on Facebook\" aria-label=\"Share on Facebook\" role=\"button\" rel=\"nofollow\" class=\"shariff-link\" style=\"; 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If only statistical relationships between measurement channels have been taken into account in the FDI software, the [&hellip;]<\/p>\n","protected":false},"author":20,"featured_media":5556,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"project_category":[232,236,243,244,245,224,226],"project_tag":[],"class_list":["post-9145","project","type-project","status-publish","has-post-thumbnail","hentry","project_category-digitization","project_category-industry-4-0","project_category-optimization","project_category-predictive-analytics-en","project_category-sensing-systems-en","project_category-sensors-and-communications","project_category-software-development"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>PIT | Physical Interpretation Tool | Software - LCM<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PIT | Physical Interpretation Tool | Software - LCM\" \/>\n<meta property=\"og:description\" content=\"This MatLab-based software prototype expands the variable selection used in the FDI software. 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