{"id":1610,"date":"2020-06-04T13:02:51","date_gmt":"2020-06-04T13:02:51","guid":{"rendered":"http:\/\/localhost\/network\/test\/projects\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\/"},"modified":"2020-06-16T14:03:55","modified_gmt":"2020-06-16T13:03:55","slug":"condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters","status":"publish","type":"page","link":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/projects\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\/","title":{"rendered":"Condition monitoring of nonlinear systems via multiple Kalman filters"},"content":{"rendered":"\n<p><strong>PhD project. Supervisor \u2013 Professor T X Mei<\/strong><\/p>\n\n\n\n<p>Model-based methods are widely studied for applications in FDI and general condition monitoring, but are more suited to tackle linear time invariant systems and can be problematic for systems with very complex and non-linear properties. This project studies a multiple Kalman filters approach that divide a non-linear problem into a number of linearised models that represent an approximation of different conditions. A selected number of Kalman filters are then used to assess the likelihood of a \u2018best\u2019 match of the condition of the system is operating at any particular instance to achieve the desired condition monitoring.<\/p>\n\n\n\n<p>This project is supported financially by the Government of Pakistan through a postgraduate scholarship programme.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>PhD project. Supervisor \u2013 Professor T X Mei Model-based methods are widely studied for applications in FDI and general condition monitoring, but are more suited to tackle linear time invariant systems and can be problematic for systems with very complex and non-linear properties. This project studies a multiple Kalman filters approach that divide a non-linear [&hellip;]<\/p>\n","protected":false},"author":184,"featured_media":0,"parent":1608,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-1610","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Condition monitoring of nonlinear systems via multiple Kalman filters | Engineering | University of Salford<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/hub.salford.ac.uk\/sirc-engineering\/projects\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Condition monitoring of nonlinear systems via multiple Kalman filters | Engineering | University of Salford\" \/>\n<meta property=\"og:description\" content=\"PhD project. Supervisor \u2013 Professor T X Mei Model-based methods are widely studied for applications in FDI and general condition monitoring, but are more suited to tackle linear time invariant systems and can be problematic for systems with very complex and non-linear properties. This project studies a multiple Kalman filters approach that divide a non-linear [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"http:\/\/hub.salford.ac.uk\/sirc-engineering\/projects\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\/\" \/>\n<meta property=\"og:site_name\" content=\"Engineering\" \/>\n<meta property=\"article:modified_time\" content=\"2020-06-16T13:03:55+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"http:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/projects\\\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\\\/\",\"url\":\"http:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/projects\\\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\\\/\",\"name\":\"Condition monitoring of nonlinear systems via multiple Kalman filters | Engineering | University of Salford\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/#website\"},\"datePublished\":\"2020-06-04T13:02:51+00:00\",\"dateModified\":\"2020-06-16T13:03:55+00:00\",\"breadcrumb\":{\"@id\":\"http:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/projects\\\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"http:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/projects\\\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"http:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/projects\\\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Projects\",\"item\":\"https:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/projects\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Condition monitoring of nonlinear systems via multiple Kalman filters\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/#website\",\"url\":\"https:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/\",\"name\":\"Engineering\",\"description\":\"Salford Innovation Research Centre (SIRC)\",\"publisher\":{\"@id\":\"https:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/#organization\",\"name\":\"Engineering\",\"url\":\"https:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/wp-content\\\/uploads\\\/sites\\\/160\\\/2025\\\/02\\\/university-salford-logo-400x250-1.png\",\"contentUrl\":\"https:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/wp-content\\\/uploads\\\/sites\\\/160\\\/2025\\\/02\\\/university-salford-logo-400x250-1.png\",\"width\":400,\"height\":250,\"caption\":\"Engineering\"},\"image\":{\"@id\":\"https:\\\/\\\/hub.salford.ac.uk\\\/sirc-engineering\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Condition monitoring of nonlinear systems via multiple Kalman filters | Engineering | University of Salford","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"http:\/\/hub.salford.ac.uk\/sirc-engineering\/projects\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\/","og_locale":"en_US","og_type":"article","og_title":"Condition monitoring of nonlinear systems via multiple Kalman filters | Engineering | University of Salford","og_description":"PhD project. Supervisor \u2013 Professor T X Mei Model-based methods are widely studied for applications in FDI and general condition monitoring, but are more suited to tackle linear time invariant systems and can be problematic for systems with very complex and non-linear properties. This project studies a multiple Kalman filters approach that divide a non-linear [&hellip;]","og_url":"http:\/\/hub.salford.ac.uk\/sirc-engineering\/projects\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\/","og_site_name":"Engineering","article_modified_time":"2020-06-16T13:03:55+00:00","twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"http:\/\/hub.salford.ac.uk\/sirc-engineering\/projects\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\/","url":"http:\/\/hub.salford.ac.uk\/sirc-engineering\/projects\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\/","name":"Condition monitoring of nonlinear systems via multiple Kalman filters | Engineering | University of Salford","isPartOf":{"@id":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/#website"},"datePublished":"2020-06-04T13:02:51+00:00","dateModified":"2020-06-16T13:03:55+00:00","breadcrumb":{"@id":"http:\/\/hub.salford.ac.uk\/sirc-engineering\/projects\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["http:\/\/hub.salford.ac.uk\/sirc-engineering\/projects\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\/"]}]},{"@type":"BreadcrumbList","@id":"http:\/\/hub.salford.ac.uk\/sirc-engineering\/projects\/condition-monitoring-of-nonlinear-systems-via-multiple-kalman-filters\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Projects","item":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/projects\/"},{"@type":"ListItem","position":2,"name":"Condition monitoring of nonlinear systems via multiple Kalman filters"}]},{"@type":"WebSite","@id":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/#website","url":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/","name":"Engineering","description":"Salford Innovation Research Centre (SIRC)","publisher":{"@id":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/#organization","name":"Engineering","url":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/#\/schema\/logo\/image\/","url":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/wp-content\/uploads\/sites\/160\/2025\/02\/university-salford-logo-400x250-1.png","contentUrl":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/wp-content\/uploads\/sites\/160\/2025\/02\/university-salford-logo-400x250-1.png","width":400,"height":250,"caption":"Engineering"},"image":{"@id":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/wp-json\/wp\/v2\/pages\/1610","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/wp-json\/wp\/v2\/users\/184"}],"replies":[{"embeddable":true,"href":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/wp-json\/wp\/v2\/comments?post=1610"}],"version-history":[{"count":1,"href":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/wp-json\/wp\/v2\/pages\/1610\/revisions"}],"predecessor-version":[{"id":1638,"href":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/wp-json\/wp\/v2\/pages\/1610\/revisions\/1638"}],"up":[{"embeddable":true,"href":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/wp-json\/wp\/v2\/pages\/1608"}],"wp:attachment":[{"href":"https:\/\/hub.salford.ac.uk\/sirc-engineering\/wp-json\/wp\/v2\/media?parent=1610"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}