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{'doi': '10.1049/iet-cta.2009.0033', 'member_id': '265', 'member': 'Institution of Engineering and Technology (IET)', 'container-title': 'IET Control Theory & Applications', 'primary-resource': 'https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2009.0033', 'tld': 'theiet.org', 'clearbit-logo': 'https://logo.clearbit.com/theiet.org', 'coaccess': [], 'multiple-resolution': [], 'type': 'JOURNAL ARTICLE', 'published_date': '3 March 2011', 'publication': 'IET Control Theory & Applications', 'title': 'Fuzzy/Bayesian change point detection approach to incipient fault detection', 'name': None, 'id': None, 'location': None, 'display_doi': 'https://doi.org/10.1049/iet-cta.2009.0033', 'grant_info': None, 'grant_info_funders': None, 'grant_info_funder_ids': '', 'grant_info_type': None, 'multiple_lead_investigators': [], 'multiple_co_lead_investigators': [], 'multiple_investigators': [], 'finances': [], 'project_description': None, 'award_amount': None, 'award_start': None, 'funding_scheme': None, 'internal_award_number': None, 'editors': None, 'authors': "M.F.S.V. D'Angelo | R.M. Palhares | R.H. Loschi | R.H.C. Takahashi", 'chairs': None, 'supplementary_ids': None}
https://doi.org/10.1049/iet-cta.2009.0033
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