{"id":3758,"date":"2026-03-31T11:06:35","date_gmt":"2026-03-31T09:06:35","guid":{"rendered":"https:\/\/www.asm.tf.fau.de\/?p=3758"},"modified":"2026-03-31T11:14:41","modified_gmt":"2026-03-31T09:14:41","slug":"explainable-failure-analysis-in-time-series-data-using-shap","status":"publish","type":"post","link":"https:\/\/www.asm.tf.fau.de\/en\/2026\/03\/31\/explainable-failure-analysis-in-time-series-data-using-shap\/","title":{"rendered":"Explainable Failure Analysis in Time-Series Data Using SHAP"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full has-overlay is-style-medium\"><div class=\"image-wrapper\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.asm.tf.fau.de\/files\/2026\/03\/SHAP4time-2.jpeg\" alt=\"\" class=\"wp-image-3761 tall-image\" srcset=\"https:\/\/www.asm.tf.fau.de\/files\/2026\/03\/SHAP4time-2.jpeg 355w, https:\/\/www.asm.tf.fau.de\/files\/2026\/03\/SHAP4time-2-300x243.jpeg 300w, https:\/\/www.asm.tf.fau.de\/files\/2026\/03\/SHAP4time-2-60x49.jpeg 60w\" \/><button class=\"image-fullscreen-btn\" onclick=\"openImageFullscreen('https:\/\/www.asm.tf.fau.de\/files\/2026\/03\/SHAP4time-2.jpeg')\">\u26f6<\/button><\/div><\/figure>\n\n\n\n<p>Explainability is critical for the adoption of machine learning models in industrial systems, particularly for failure detection and prediction. This thesis explores the application of SHapley Additive exPlanations (SHAP) to time-series data containing failure events, focusing on attributing model decisions to both relevant features and critical time steps to improve transparency and trust.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Requirements<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Basic knowledge of Ubuntu \/ ROS2<\/li>\n\n\n\n<li>Python \/ C++<\/li>\n\n\n\n<li>Git<\/li>\n<\/ul>\n\n\n\n<p>Please find more details in the following link: <\/p>\n\n\n\n<div class=\"wp-block-file\"><div class=\"wp-block-file__content-wrapper\"><figure class=\"file-cover-image\" aria-label=\"Cover image for file\"><\/figure><section class=\"wp-block-file\"><div class=\"file-content\"><div class=\"wp-block-file\"><a id=\"wp-block-file--media-eef96b14-dbd2-4134-b838-59255474a6f2\" href=\"https:\/\/www.asm.tf.fau.de\/files\/2026\/03\/SHAP4time.pdf\" aria-label=\"SHAP4time Download\" aria-describedby=\"wp-block-file--media-eef96b14-dbd2-4134-b838-59255474a6f2\">SHAP4time<\/a><a href=\"https:\/\/www.asm.tf.fau.de\/files\/2026\/03\/SHAP4time.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-eef96b14-dbd2-4134-b838-59255474a6f2\" aria-label=\"SHAP4time Download\" role=\"button\"><\/a><\/div><div class=\"file-info-wrapper\"><dl class=\"file-info-list\"><div class=\"file-info-item\"><dt class=\"file-info-term\">File Name<\/dt><dd class=\"file-info-definition\">SHAP4time<\/dd><\/div><div class=\"file-info-item\"><dt class=\"file-info-term\">File Size<\/dt><dd class=\"file-info-definition\">577 KB<\/dd><\/div><div class=\"file-info-item\"><dt class=\"file-info-term\">File Type<\/dt><dd class=\"file-info-definition\">PDF<\/dd><\/div><\/dl><\/div><\/div><\/section><\/div><\/div>\n\n\n\n<p><strong>Contact person:<\/strong><\/p>\n\n\n\n<p>M.Sc Yongxu Ren <a href=\"mailto:Yongxu.ren@fau.de\">yongxu.ren@fau.de<\/a><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Explainability is critical for the adoption of machine learning models in industrial systems, particularly for failure detection and prediction. This thesis explores the application of SHapley Additive exPlanations (SHAP) to time-series data containing failure events, focusing on attributing model decisions to both relevant features and critical time steps to improve transparency and trust. Requirements Please [&hellip;]<\/p>\n","protected":false},"author":5518,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_rrze_cache":"enabled","_rrze_multilang_single_locale":"en_US","_rrze_multilang_single_source":"https:\/\/www.asm.tf.fau.de\/?p=3758","footnotes":""},"categories":[33,32],"tags":[],"workflow_usergroup":[],"class_list":["post-3758","post","type-post","status-publish","format-standard","hentry","category-master-thesis","category-student-projects","en-US"],"_links":{"self":[{"href":"https:\/\/www.asm.tf.fau.de\/wp-json\/wp\/v2\/posts\/3758","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.asm.tf.fau.de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.asm.tf.fau.de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.asm.tf.fau.de\/wp-json\/wp\/v2\/users\/5518"}],"replies":[{"embeddable":true,"href":"https:\/\/www.asm.tf.fau.de\/wp-json\/wp\/v2\/comments?post=3758"}],"version-history":[{"count":2,"href":"https:\/\/www.asm.tf.fau.de\/wp-json\/wp\/v2\/posts\/3758\/revisions"}],"predecessor-version":[{"id":3766,"href":"https:\/\/www.asm.tf.fau.de\/wp-json\/wp\/v2\/posts\/3758\/revisions\/3766"}],"wp:attachment":[{"href":"https:\/\/www.asm.tf.fau.de\/wp-json\/wp\/v2\/media?parent=3758"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.asm.tf.fau.de\/wp-json\/wp\/v2\/categories?post=3758"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.asm.tf.fau.de\/wp-json\/wp\/v2\/tags?post=3758"},{"taxonomy":"workflow_usergroup","embeddable":true,"href":"https:\/\/www.asm.tf.fau.de\/wp-json\/wp\/v2\/workflow_usergroup?post=3758"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}