{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:54:21Z","timestamp":1754157261430,"version":"3.41.2"},"reference-count":13,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2008,6,6]],"date-time":"2008-06-06T00:00:00Z","timestamp":1212710400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008,6,6]]},"abstract":"Purpose<\/jats:title>The purpose of this paper is to present research in detecting and identifying abrupt faults in controlled auto\u2010regressive (CAR) processes.<\/jats:p><\/jats:sec>Design\/methodology\/approach<\/jats:title>Model\u2010based approach is adopted in this paper. Two series of fault\u2010tolerant iterative estimators are set up to estimate online the coefficients in a CAR process. Based on these fault\u2010tolerant estimators, the detailed detecting and identifying algorithms are obtained for not only the pulse\u2010type faults but also the step\u2010type faults in CAR process.<\/jats:p><\/jats:sec>Findings<\/jats:title>This paper illustrates the useful information that can be obtained from residuals and that can be used to detect pulse\u2010type faults as well as step\u2010type faults. A fault\u2010tolerant recursive estimator for the coefficients of the CAR process is put forward. Using a simple transformation from step\u2010 to pulse\u2010type faults, all kinds of diagnosis methods to detect and identify step\u2010type faults can be used.<\/jats:p><\/jats:sec>Research limitations\/implications<\/jats:title>Fault\u2010tolerant estimators and fault detection and identification algorithms are aimed at abrupt faults in CAR processes.<\/jats:p><\/jats:sec>Practical implications<\/jats:title>Most of the algorithms given in this paper can be used in many different fields, such as process monitoring, safety control and change detection, etc.<\/jats:p><\/jats:sec>Originality\/value<\/jats:title>This paper contributes to research of abrupt faults and abrupt changes in a CAR process and emphasizes identification of magnitudes of abrupt faults. The fault\u2010tolerant estimators are effective not only to detect faults but also to identify safely the coefficients CAR model.<\/jats:p><\/jats:sec>","DOI":"10.1108\/17563780810874762","type":"journal-article","created":{"date-parts":[[2008,6,14]],"date-time":"2008-06-14T07:05:52Z","timestamp":1213427152000},"page":"285-300","source":"Crossref","is-referenced-by-count":0,"title":["FDI algorithms of abrupt faults in controlled autoregressive processes"],"prefix":"10.1108","volume":"1","author":[{"given":"Hu","family":"Shaolin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sun","family":"Guoji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ouyang","family":"Huajiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen","family":"Rushan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2022030720265476700_b1","doi-asserted-by":"crossref","unstructured":"Basseville, M. 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