@article{1442498,
      recid = {1442498},
      author = {Wang, Ziyun, and Wang, Yan, and Ji, Zhicheng,},
      title = {Advances in fault detection and diagnosis using filtering  analysis /},
      pages = {1 online resource :},
      abstract = {The book provides fault detection and diagnosis approaches  from the perspective of filtering analysis. In order to  design fault detection filters, it uses set-membership  principles to deal with the unknown but bounded noise term.  Some regular geometric spaces are introduced, such as the  ellipsoid, polyhedron, interval, to describe the feasible  parameter sets of the given system. Both principles and  engineering practice have been addressed, with more weight  placed on engineering practice. Some typical application  cases are studied for fault detection and diagnosis in  detail, which are power converter, permanent magnet  synchronous motor, pitch system of wind turbine. Given its  scope, the book offers a valuable guide for students,  teachers, engineers and researchers in the field of fault  detection and diagnosis.},
      url = {http://library.usi.edu/record/1442498},
      doi = {https://doi.org/10.1007/978-981-16-5959-1},
}