{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,5,3]],"date-time":"2023-05-03T21:30:57Z","timestamp":1683149457335},"reference-count":0,"publisher":"Walter de Gruyter GmbH","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,4,29]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The paper deals with methods to derive analytical redundancy relations for diagnosable systems. The starting point is an\nover-determined set of constraints, which is obtained by a structural analysis of the linear system under consideration.\nThe problem is to find analytical expressions for residuals in terms of the measured signals and\nthe derivatives of these signals. Two new methods are described.  The first method provides a representation of the\nresidual in terms of the observability matrix of the diagnosable subsystem. The second method replaces the derivative\nconstraints by a series of equations that include the derivatives of the state variables and the outputs.  The result is\na matrix-vector representation of the over-determined set of equations, which leads to the analytical redundancy\nrelations. The methods are illustrated by their application to an automotive example.<\/jats:p>","DOI":"10.1515\/auto-2016-0121","type":"journal-article","created":{"date-parts":[[2017,4,13]],"date-time":"2017-04-13T10:00:53Z","timestamp":1492077653000},"page":"219-232","source":"Crossref","is-referenced-by-count":1,"title":["Two methods to find analytical redundancy relations for fault diagnosis"],"prefix":"10.1515","volume":"65","author":[{"given":"Jan","family":"Lunze","sequence":"first","affiliation":[{"name":"Ruhr-Universit\u00e4t Bochum, Lehrstuhl f\u00fcr Automatisierungstechnik und Prozessinformatik, 44780 Bochum Germany"}]}],"member":"374","published-online":{"date-parts":[[2017,4,12]]},"container-title":["at - Automatisierungstechnik"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.degruyter.com\/view\/j\/auto.2017.65.issue-4\/auto-2016-0121\/auto-2016-0121.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/auto-2016-0121\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/auto-2016-0121\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T18:30:32Z","timestamp":1624300232000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/auto-2016-0121\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,12]]},"references-count":0,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2017,4,12]]},"published-print":{"date-parts":[[2017,4,29]]}},"alternative-id":["10.1515\/auto-2016-0121"],"URL":"https:\/\/doi.org\/10.1515\/auto-2016-0121","relation":{},"ISSN":["0178-2312","2196-677X"],"issn-type":[{"value":"0178-2312","type":"print"},{"value":"2196-677X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4,12]]}}}